Data Engineer M F D Jobs

Software Engineer III, Data Engineering Console

From $22,000/yr

Minimum qualifications: * Bachelor’s degree or equivalent practical experience. * 2 years of experience with software development using C++ or 1 year of experience with an advanced degree in an industry setting. * 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture. Preferred qualifications: * Master's degree or PhD in Computer Science, or related technical fields. * Experience building internal developer tools or AI agent systems. * Experience developing accessible technologies. About The Job Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward. Help us pivot the Data Engineering Console to an agent-first world, while supporting 22k+ Googlers as they manage metascale data flows for everything from Gemini model training to Ads revenue tracking and YouTube video analysis, with a healthy dose of Waymo self-driving built-in. If data is flowing, we let Googlers monitor and debug it. The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company. Responsibilities * Write product or system development code. * Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies. * Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency). * Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. * Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality. Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .

Data Engineer

On-site Role in Seattle, WA – US Citizenship or Green Card Required Not eligible for OPT or visa sponsorship IBS Software is a fast-growing global software company with 4,000 employees and a 28-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry leading products and services that manage mission critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil \& gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs. Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual. We are currently seeking an experienced, dynamic, organized, self-starter to join as Data Engineer for our Consulting and Digital Transformation (CDx) line of business. An AWS Data Engineer is responsible for designing, building, and maintaining robust and scalable data architectures leveraging Amazon Web Services (AWS). They play a vital role in transforming raw data into actionable insights, enabling data-driven decision-making within an organization. What the engineer would do: Design, build and maintain large-scale batch data pipeline and related apps with a cross-functional, geographically distributed team of Data Engineers. Implement scalable data processing solutions in public or hybrid cloud environments, applying sound software engineering principles and modern data patterns. Collaborate with product managers, analysts, and data scientists to translate business requirements into technical solutions, ensuring data quality, reliability, and observability. Write clean, modular, and testable code using languages such as Scala or Java, Spark with attention to maintainability and performance. Contribute to team-owned data products that serve downstream consumers across analytics, reporting, and machine learning platforms. Analyze data pattern via SQL and debug and resolve data quality issues, bottlenecks, and performance constraints in complex systems. Develop visually impactful reports conveying key insights, trends, and actionable recommendations to diverse stakeholders Proactively identify areas for technical and process improvements, contributing to the team's agile development practices and continuous delivery culture. Leverage AI-powered coding assistants like GitHub Copilot/Claude to enhance productivity and code quality Participate in peer reviews, knowledge-sharing, and team retrospectives to support ongoing team growth and collaboration. Here is what we expect from the candidate: You have built and maintained at least one data pipeline or data product in a production environment, ideally in cloud infrastructure (e.g., AWS, GCP, Azure) You have strength in a programming language relevant to data (e.g. Scala, Spark), moderate familiarity in other applicable languages. You're experienced with SQL and working with both traditional RDBMS and distributed data storage systems. You have exposure to technologies like Hive, Airflow, Iceberg, Colibra, Power BI, Qubole You value testing, monitoring, and alerting as core parts of building reliable systems. You're comfortable working in an agile, collaborative team environment, and can clearly communicate trade-offs and design decisions to technical and non-technical stakeholders. Educational background and certifications Bachelor’s degree in Computer Science, Information Systems, or a related field is typically required or preferred. Desired soft skills Strong communication and collaboration skills to interact with various stakeholders. Ability to mentor and support junior team members. Strong analytical and problem-solving skills, with a focus on data quality and operational efficiency. Ability to adapt and thrive in a fast-paced, agile environment Work Authorization Must be authorized to work in United States and hold a valid passport Travel This position may require travel. Most travel is outside the local area and overnight. Some of the travel is international. At IBS you can look forward to: Operating with the brightest minds in the hotel software industry Receiving global exposure Benefiting from continuous learning programs Performance-based career growth Competitive compensation that includes fixed compensation, and variable compensation based on achieving set sales goals, company paid employee benefits, vacation, sick and personal leave, company matched 401k IBS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. IBS as an equal opportunity employer bases its hiring decisions on the business need and the best qualified candidates available, and does not discriminate in its employment decisions on the basis of any protected category. Candidates who are offered employment may be subject to a criminal record and other background checks as permitted or required by company policy or applicable law.

Software Engineer III - Big Data

$130,000 - $160,000/yr

Role Overview We are seeking a highly skilled Big Data Software Engineer to design, build, and operate scalable, secure, cloud-native data platforms at Sightview Software LLC. In this role, you will develop high-quality production code, design end-to-end data pipelines, and influence system architecture, data frameworks, and analytics capabilities across our products. You will serve as a subject-matter expert in big-data technologies, ETL/ELT, analytics dashboards, and AWS data services, partnering closely with engineering, operations, and business stakeholders to deliver reliable, analytics-ready data solutions that support informed decision-making and product innovation. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code and reviews code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in areas of Big Data, ETL, Analytic Dashboards, and AWS data tooling Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Designs and develops end-to-end data pipelines using Python (PySpark), Scala, and AWS services Utilizes programming languages such as Typescript, works with NoSQL databases and SQL, and leverage container orchestration services, including Kubernetes or ECS, along with a variety of AWS tools and services Defines and implements backup, recovery, and archiving strategies in partnership with Operations team members Generates advanced data models, versioned data sets, and data analytics dashboards in QuickSight Acts as Technical Lead for additional team members, including mentorship, task allocation, and pair programming Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 3+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) – Python (PySpark), Scala, Typescript Hands-on practical experience in developing Spark-based Frameworks for end-to-end ETL, ELT \& reporting solutions using key components like Spark SQL \& Spark Streaming. Experience with AWS cloud technologies, including S3, RedShift and Quicksight Experience with Relational and No SQL databases Cloud implementation experience with AWS including: AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Airflow (or) Lambda + Step Functions + Event Bridge Data De/Serialization: Expertise in Parquet, Iceberg AWS Data Security: Good Understanding of security concepts such as Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager, and RedShift Data Sharing Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience with building a data lake, building data platforms, building data frameworks, Built/Design of Data as a Service API In-depth knowledge of the US healthcare industry and its IT systems

Engineering Manager - Data Platform

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Software Engineer, Backend - Blockchain Platform (Staking Data)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Engineering Manager, Platform - Data Layer

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Senior Software Engineer, Blockchain Platform (Blockchain Data Processing)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

ETL / ELT Architect (Azure Data Engineering)

Job Title: ETL / ELT Architect (Azure Data Engineering)Experience Level 8–10 years of overall data engineering experience, with at least 4–5 years in cloud-based data platforms and 2–3 years in an architecture or lead design role. Role Overview The ETL / ELT Architect will lead the design and governance of scalable, secure, and high-performance data pipelines on Microsoft Azure. This role is responsible for defining enterprise-wide Bronze → Silver → Gold (Medallion) architecture standards, Databricks ETL frameworks, and orchestration patterns supporting both batch and streaming workloads. The architect will act as the technical authority for ETL design decisions, performance optimization, schema evolution, and reliability across the data platform. Key ResponsibilitiesETL / ELT Architecture \& Standards · Define and govern Medallion Architecture (Bronze, Silver, Gold) standards across the program. · Establish ELT-first design principles using Azure Databricks and Delta Lake. · Design reusable, metadata-driven ETL frameworks supporting multiple ingestion patterns. · Define ingestion strategies for CDC, full loads, and streaming data from Azure Event Hub and databases. Databricks \& Delta Lake Architecture · Design and implement Databricks Auto Loader for scalable ingestion with schema drift handling. · Define merge and upsert strategies using Delta Lake for Silver and Gold layers. · Establish best practices for: o Schema evolution and validation o Late-arriving data handling o Idempotent processing · Define Delta Lake maintenance strategies (OPTIMIZE, VACUUM, Z-ORDER). Performance \& Optimization · Define partitioning strategies based on data volume, access patterns, and downstream usage. · Optimize Spark workloads for joins, aggregations, and large-scale transformations. · Ensure efficient cluster sizing and job configuration for cost and performance balance. Orchestration \& Workflow Design · Define orchestration approaches using Azure Data Factory and Databricks Workflows. · Design dependency management across Bronze, Silver, and Gold pipelines. · Enable parameterized and reusable pipelines supporting multi-tenant and multi-source ingestion. Error Handling, Monitoring \& Reliability · Define standardized error handling, retry, and recovery mechanisms. · Implement data quality checks and validation at each layer. · Design observability using Azure Monitor and Alerts. · Ensure pipeline resilience and operational stability. Governance \& Downstream Enablement · Align ETL design with Azure security, governance, and lineage standards (Microsoft Purview). · Design Gold-layer data models optimized for Synapse Dedicated SQL Pool, reporting, and analytics. · Support secure data sharing through Azure Data Share and external consumption platforms. Required Skills \& ExperienceExperience · 8–10 years in data engineering and ETL/ELT development. · 4+ years designing and implementing cloud-based data platforms (Azure preferred). · 2+ years in an architecture, lead, or technical design role. Technical Skills · Strong expertise in Azure Databricks architecture and Spark-based ETL. · Deep hands-on experience with Delta Lake (MERGE, schema evolution, ACID guarantees). · Experience with Databricks Auto Loader for streaming and incremental ingestion. · Proven experience designing enterprise-grade ETL frameworks. · Strong knowledge of schema drift handling, CDC patterns, and incremental processing. · Hands-on experience with Azure Data Factory for orchestration. · Expertise in performance tuning and optimization for Databricks and Spark workloads. · Experience with real-time and streaming data pipelines. · Exposure to data migration and legacy system decommissioning programs. · Strong understanding of error handling, retry logic, and fault-tolerant pipeline design. Cloud \& Data Platform · Strong experience with Azure ADLS Gen2, Event Hub, Databricks, Synapse. · Familiarity with Microsoft Purview or equivalent governance tools. · Experience supporting downstream analytics, reporting, and data sharing use cases. Soft Skills · Strong architectural thinking and decision-making ability. · Ability to define standards and mentor engineering teams. · Excellent communication and documentation skills. · Experience collaborating with platform, security, and analytics stakeholders. Nice to Have · Knowledge of CI/CD and DevOps practices for Databricks and data pipelines. · Experience working in large enterprise or multi-domain data programs. Pay: $80.00 - $125.00 per hour Work Location: Remote

Senior Engineering Manager (Data Platform)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Manager - Messaging Data Science & Engineering

From $480,000/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Director, Data Engineering & Infrastructure (Customer Success)

About Toast At Toast, we’re building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we’re transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. Role Overview The Director of Data Infrastructure & Engineering in Customer Succ

Senior Software Engineer, Blockchain Platform (Blockchain Data Processing)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Manager - Messaging Data Science & Engineering

From $480,000/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Senior Engineering Manager (Data Platform)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Engineering Manager, Platform - Data Layer

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Data Engineer

On-site Role in Seattle, WA – US Citizenship or Green Card Required Not eligible for OPT or visa sponsorship IBS Software is a fast-growing global software company with 4,000 employees and a 28-year track record of innovation for the world’s leading travel brands. We provide a broad range of industry leading products and services that manage mission critical operations of airlines, airports, cruise lines, hospitality partners, tour operators and oil \& gas companies. These products improve safety, revenue and workflow efficiency, while managing growth, and reducing operating costs. Certified as a Great Place to Work®, IBS Software has a culture built on the values of precision, commitment, passion, integrity and respect for the individual. We are currently seeking an experienced, dynamic, organized, self-starter to join as Data Engineer for our Consulting and Digital Transformation (CDx) line of business. An AWS Data Engineer is responsible for designing, building, and maintaining robust and scalable data architectures leveraging Amazon Web Services (AWS). They play a vital role in transforming raw data into actionable insights, enabling data-driven decision-making within an organization. What the engineer would do: Design, build and maintain large-scale batch data pipeline and related apps with a cross-functional, geographically distributed team of Data Engineers. Implement scalable data processing solutions in public or hybrid cloud environments, applying sound software engineering principles and modern data patterns. Collaborate with product managers, analysts, and data scientists to translate business requirements into technical solutions, ensuring data quality, reliability, and observability. Write clean, modular, and testable code using languages such as Scala or Java, Spark with attention to maintainability and performance. Contribute to team-owned data products that serve downstream consumers across analytics, reporting, and machine learning platforms. Analyze data pattern via SQL and debug and resolve data quality issues, bottlenecks, and performance constraints in complex systems. Develop visually impactful reports conveying key insights, trends, and actionable recommendations to diverse stakeholders Proactively identify areas for technical and process improvements, contributing to the team's agile development practices and continuous delivery culture. Leverage AI-powered coding assistants like GitHub Copilot/Claude to enhance productivity and code quality Participate in peer reviews, knowledge-sharing, and team retrospectives to support ongoing team growth and collaboration. Here is what we expect from the candidate: You have built and maintained at least one data pipeline or data product in a production environment, ideally in cloud infrastructure (e.g., AWS, GCP, Azure) You have strength in a programming language relevant to data (e.g. Scala, Spark), moderate familiarity in other applicable languages. You're experienced with SQL and working with both traditional RDBMS and distributed data storage systems. You have exposure to technologies like Hive, Airflow, Iceberg, Colibra, Power BI, Qubole You value testing, monitoring, and alerting as core parts of building reliable systems. You're comfortable working in an agile, collaborative team environment, and can clearly communicate trade-offs and design decisions to technical and non-technical stakeholders. Educational background and certifications Bachelor’s degree in Computer Science, Information Systems, or a related field is typically required or preferred. Desired soft skills Strong communication and collaboration skills to interact with various stakeholders. Ability to mentor and support junior team members. Strong analytical and problem-solving skills, with a focus on data quality and operational efficiency. Ability to adapt and thrive in a fast-paced, agile environment Work Authorization Must be authorized to work in United States and hold a valid passport Travel This position may require travel. Most travel is outside the local area and overnight. Some of the travel is international. At IBS you can look forward to: Operating with the brightest minds in the hotel software industry Receiving global exposure Benefiting from continuous learning programs Performance-based career growth Competitive compensation that includes fixed compensation, and variable compensation based on achieving set sales goals, company paid employee benefits, vacation, sick and personal leave, company matched 401k IBS is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans status or any other characteristic protected by law. IBS as an equal opportunity employer bases its hiring decisions on the business need and the best qualified candidates available, and does not discriminate in its employment decisions on the basis of any protected category. Candidates who are offered employment may be subject to a criminal record and other background checks as permitted or required by company policy or applicable law.

Software Engineer, Backend - Blockchain Platform (Staking Data)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Software Engineer III - Big Data

$130,000 - $160,000/yr

Role Overview We are seeking a highly skilled Big Data Software Engineer to design, build, and operate scalable, secure, cloud-native data platforms at Sightview Software LLC. In this role, you will develop high-quality production code, design end-to-end data pipelines, and influence system architecture, data frameworks, and analytics capabilities across our products. You will serve as a subject-matter expert in big-data technologies, ETL/ELT, analytics dashboards, and AWS data services, partnering closely with engineering, operations, and business stakeholders to deliver reliable, analytics-ready data solutions that support informed decision-making and product innovation. Job responsibilities Regularly provides technical guidance and direction to support the business and its technical teams, contractors, and vendors Develops secure and high-quality production code and reviews code written by others Drives decisions that influence the product design, application functionality, and technical operations and processes Serves as a function-wide subject matter expert in areas of Big Data, ETL, Analytic Dashboards, and AWS data tooling Influences peers and project decision-makers to consider the use and application of leading-edge technologies Adds to the team culture of diversity, opportunity, inclusion, and respect Designs and develops end-to-end data pipelines using Python (PySpark), Scala, and AWS services Utilizes programming languages such as Typescript, works with NoSQL databases and SQL, and leverage container orchestration services, including Kubernetes or ECS, along with a variety of AWS tools and services Defines and implements backup, recovery, and archiving strategies in partnership with Operations team members Generates advanced data models, versioned data sets, and data analytics dashboards in QuickSight Acts as Technical Lead for additional team members, including mentorship, task allocation, and pair programming Required qualifications, capabilities, and skills Formal training or certification in software engineering concepts and 3+ years of applied experience Hands-on practical experience delivering system design, application development, testing, and operational stability Advanced in one or more programming language(s) – Python (PySpark), Scala, Typescript Hands-on practical experience in developing Spark-based Frameworks for end-to-end ETL, ELT \& reporting solutions using key components like Spark SQL \& Spark Streaming. Experience with AWS cloud technologies, including S3, RedShift and Quicksight Experience with Relational and No SQL databases Cloud implementation experience with AWS including: AWS Data Services: Proficiency in Lake formation, Glue ETL (or) EMR, S3, Glue Catalog, Athena, Airflow (or) Lambda + Step Functions + Event Bridge Data De/Serialization: Expertise in Parquet, Iceberg AWS Data Security: Good Understanding of security concepts such as Lake formation, IAM, Service roles, Encryption, KMS, Secrets Manager, and RedShift Data Sharing Advanced knowledge of software applications and technical processes with considerable in-depth knowledge in one or more technical disciplines (e.g., cloud, artificial intelligence, machine learning, mobile, etc.) Ability to tackle design and functionality problems independently with little to no oversight Practical cloud native experience Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field Preferred qualifications, capabilities, and skills Experience with building a data lake, building data platforms, building data frameworks, Built/Design of Data as a Service API In-depth knowledge of the US healthcare industry and its IT systems

Engineering Manager - Data Platform

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Director, Data Engineering & Infrastructure (Customer Success)

About Toast At Toast, we’re building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we’re transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. Role Overview The Director of Data Infrastructure & Engineering in Customer Succ

ETL / ELT Architect (Azure Data Engineering)

Job Title: ETL / ELT Architect (Azure Data Engineering)Experience Level 8–10 years of overall data engineering experience, with at least 4–5 years in cloud-based data platforms and 2–3 years in an architecture or lead design role. Role Overview The ETL / ELT Architect will lead the design and governance of scalable, secure, and high-performance data pipelines on Microsoft Azure. This role is responsible for defining enterprise-wide Bronze → Silver → Gold (Medallion) architecture standards, Databricks ETL frameworks, and orchestration patterns supporting both batch and streaming workloads. The architect will act as the technical authority for ETL design decisions, performance optimization, schema evolution, and reliability across the data platform. Key ResponsibilitiesETL / ELT Architecture \& Standards · Define and govern Medallion Architecture (Bronze, Silver, Gold) standards across the program. · Establish ELT-first design principles using Azure Databricks and Delta Lake. · Design reusable, metadata-driven ETL frameworks supporting multiple ingestion patterns. · Define ingestion strategies for CDC, full loads, and streaming data from Azure Event Hub and databases. Databricks \& Delta Lake Architecture · Design and implement Databricks Auto Loader for scalable ingestion with schema drift handling. · Define merge and upsert strategies using Delta Lake for Silver and Gold layers. · Establish best practices for: o Schema evolution and validation o Late-arriving data handling o Idempotent processing · Define Delta Lake maintenance strategies (OPTIMIZE, VACUUM, Z-ORDER). Performance \& Optimization · Define partitioning strategies based on data volume, access patterns, and downstream usage. · Optimize Spark workloads for joins, aggregations, and large-scale transformations. · Ensure efficient cluster sizing and job configuration for cost and performance balance. Orchestration \& Workflow Design · Define orchestration approaches using Azure Data Factory and Databricks Workflows. · Design dependency management across Bronze, Silver, and Gold pipelines. · Enable parameterized and reusable pipelines supporting multi-tenant and multi-source ingestion. Error Handling, Monitoring \& Reliability · Define standardized error handling, retry, and recovery mechanisms. · Implement data quality checks and validation at each layer. · Design observability using Azure Monitor and Alerts. · Ensure pipeline resilience and operational stability. Governance \& Downstream Enablement · Align ETL design with Azure security, governance, and lineage standards (Microsoft Purview). · Design Gold-layer data models optimized for Synapse Dedicated SQL Pool, reporting, and analytics. · Support secure data sharing through Azure Data Share and external consumption platforms. Required Skills \& ExperienceExperience · 8–10 years in data engineering and ETL/ELT development. · 4+ years designing and implementing cloud-based data platforms (Azure preferred). · 2+ years in an architecture, lead, or technical design role. Technical Skills · Strong expertise in Azure Databricks architecture and Spark-based ETL. · Deep hands-on experience with Delta Lake (MERGE, schema evolution, ACID guarantees). · Experience with Databricks Auto Loader for streaming and incremental ingestion. · Proven experience designing enterprise-grade ETL frameworks. · Strong knowledge of schema drift handling, CDC patterns, and incremental processing. · Hands-on experience with Azure Data Factory for orchestration. · Expertise in performance tuning and optimization for Databricks and Spark workloads. · Experience with real-time and streaming data pipelines. · Exposure to data migration and legacy system decommissioning programs. · Strong understanding of error handling, retry logic, and fault-tolerant pipeline design. Cloud \& Data Platform · Strong experience with Azure ADLS Gen2, Event Hub, Databricks, Synapse. · Familiarity with Microsoft Purview or equivalent governance tools. · Experience supporting downstream analytics, reporting, and data sharing use cases. Soft Skills · Strong architectural thinking and decision-making ability. · Ability to define standards and mentor engineering teams. · Excellent communication and documentation skills. · Experience collaborating with platform, security, and analytics stakeholders. Nice to Have · Knowledge of CI/CD and DevOps practices for Databricks and data pipelines. · Experience working in large enterprise or multi-domain data programs. Pay: $80.00 - $125.00 per hour Work Location: Remote

Engineering Manager - Data Platform

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

ETL / ELT Architect (Azure Data Engineering)

Job Title: ETL / ELT Architect (Azure Data Engineering)Experience Level 8–10 years of overall data engineering experience, with at least 4–5 years in cloud-based data platforms and 2–3 years in an architecture or lead design role. Role Overview The ETL / ELT Architect will lead the design and governance of scalable, secure, and high-performance data pipelines on Microsoft Azure. This role is responsible for defining enterprise-wide Bronze → Silver → Gold (Medallion) architecture standards, Databricks ETL frameworks, and orchestration patterns supporting both batch and streaming workloads. The architect will act as the technical authority for ETL design decisions, performance optimization, schema evolution, and reliability across the data platform. Key ResponsibilitiesETL / ELT Architecture \& Standards · Define and govern Medallion Architecture (Bronze, Silver, Gold) standards across the program. · Establish ELT-first design principles using Azure Databricks and Delta Lake. · Design reusable, metadata-driven ETL frameworks supporting multiple ingestion patterns. · Define ingestion strategies for CDC, full loads, and streaming data from Azure Event Hub and databases. Databricks \& Delta Lake Architecture · Design and implement Databricks Auto Loader for scalable ingestion with schema drift handling. · Define merge and upsert strategies using Delta Lake for Silver and Gold layers. · Establish best practices for: o Schema evolution and validation o Late-arriving data handling o Idempotent processing · Define Delta Lake maintenance strategies (OPTIMIZE, VACUUM, Z-ORDER). Performance \& Optimization · Define partitioning strategies based on data volume, access patterns, and downstream usage. · Optimize Spark workloads for joins, aggregations, and large-scale transformations. · Ensure efficient cluster sizing and job configuration for cost and performance balance. Orchestration \& Workflow Design · Define orchestration approaches using Azure Data Factory and Databricks Workflows. · Design dependency management across Bronze, Silver, and Gold pipelines. · Enable parameterized and reusable pipelines supporting multi-tenant and multi-source ingestion. Error Handling, Monitoring \& Reliability · Define standardized error handling, retry, and recovery mechanisms. · Implement data quality checks and validation at each layer. · Design observability using Azure Monitor and Alerts. · Ensure pipeline resilience and operational stability. Governance \& Downstream Enablement · Align ETL design with Azure security, governance, and lineage standards (Microsoft Purview). · Design Gold-layer data models optimized for Synapse Dedicated SQL Pool, reporting, and analytics. · Support secure data sharing through Azure Data Share and external consumption platforms. Required Skills \& ExperienceExperience · 8–10 years in data engineering and ETL/ELT development. · 4+ years designing and implementing cloud-based data platforms (Azure preferred). · 2+ years in an architecture, lead, or technical design role. Technical Skills · Strong expertise in Azure Databricks architecture and Spark-based ETL. · Deep hands-on experience with Delta Lake (MERGE, schema evolution, ACID guarantees). · Experience with Databricks Auto Loader for streaming and incremental ingestion. · Proven experience designing enterprise-grade ETL frameworks. · Strong knowledge of schema drift handling, CDC patterns, and incremental processing. · Hands-on experience with Azure Data Factory for orchestration. · Expertise in performance tuning and optimization for Databricks and Spark workloads. · Experience with real-time and streaming data pipelines. · Exposure to data migration and legacy system decommissioning programs. · Strong understanding of error handling, retry logic, and fault-tolerant pipeline design. Cloud \& Data Platform · Strong experience with Azure ADLS Gen2, Event Hub, Databricks, Synapse. · Familiarity with Microsoft Purview or equivalent governance tools. · Experience supporting downstream analytics, reporting, and data sharing use cases. Soft Skills · Strong architectural thinking and decision-making ability. · Ability to define standards and mentor engineering teams. · Excellent communication and documentation skills. · Experience collaborating with platform, security, and analytics stakeholders. Nice to Have · Knowledge of CI/CD and DevOps practices for Databricks and data pipelines. · Experience working in large enterprise or multi-domain data programs. Pay: $80.00 - $125.00 per hour Work Location: Remote

Director, Data Engineering & Infrastructure (Customer Success)

About Toast At Toast, we’re building the restaurant platform that helps restaurants adapt, take control, and thrive. The Customer Success (CS) organization plays a pivotal role in helping customers get the most out of our products and we’re transforming our data capabilities to drive a new era of proactive, data-informed customer engagement. Role Overview The Director of Data Infrastructure & Engineering in Customer Succ

Software Engineer, Backend - Blockchain Platform (Staking Data)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Senior Software Engineer, Blockchain Platform (Blockchain Data Processing)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Manager - Messaging Data Science & Engineering

From $480,000/yr

At Netflix, our mission is to entertain the world. Together, we are writing the next episode - pushing the boundaries of storytelling, global fandom and making the unimaginable a reality. We are a dream team obsessed with the uncomfortable excitement of discovering what happens when you merge creativity, intuition and cutting-edge technology. Come be a part of what’s next. The Messaging Data Science and Engineering team aims to drive our Data Science, Analytics, and Data Engineering strategies for our messaging domain (off-service communications to our existing member base). In many ways, this space functions as a “mini Netflix”; it is a highly cross-functional team that sits at the intersection of our content, product, and algos domains. A strong messaging strategy is essential to ensure we meet both our member and business needs, whether that involves ensuring our members are aware of the content available to them or ensuring new business lines (Live, Games) are effectively supported. We are looking for an exceptional technical leader to manage a team with a variety of role profiles and guide and shape our science and analytics approach to Messaging. The ideal candidate has a passion for diving into complex systems to shape the technical strategy of the team. Additionally, strong cross-functional collaboration skills are a must; the messaging space has a complex stakeholder landscape, and we sit at the intersection of it all. In success, this leader will help shape our broader messaging strategy in a way that drives strong impact across a multitude of business needs across Netflix. In this role, you will: Lead a team of mixed technical roles (Data Scientists, Analytics Engineers, and Data Engineers). Drive the vision and roadmap for the team, balancing the needs of multiple business. stakeholders while ensuring we maximize impact on the business. Be a strategic thought partner to shape the strategy of the broader Messaging domain; This is not a “sit back and let people tell you what to do” role. Drive a culture of innovation through collaboration with other leaders in the broader Data Science and Engineering space. Embody Netflix values in daily work and interactions. You have: Demonstrated experience leading Data Science or related area teams - particularly in domains with complex stakeholder environments or with greater flexibility to decide what the team focuses on. Exceptional interpersonal and communication skills, including proven ability to effectively collaborate with a variety of technical and non-technical business partners and other data science leaders. A passion for driving and influencing product strategies in a fast-paced, cross-functional environment. Ability to deal with ambiguity; a strong ownership mindset, a desire to thrive on minimal oversight and process, and a willingness to learn and rapidly absorb business context. Masters or PhD in Statistics, Computer Science, Mathematics, or related field preferred. Generally, our compensation structure consists solely of an annual salary; we do not have bonuses. You choose each year how much of your compensation you want in salary versus stock options. To determine your personal top of market compensation, we rely on market indicators and consider your specific job family, background, skills, and experience to determine your compensation in the market range. The range for this role is $480,000.00 - $750,000.00. This compensation range will vary based on location. Netflix provides comprehensive benefits including Health Plans, Mental Health support, a 401(k) Retirement Plan with employer match, Stock Option Program, Disability Programs, Health Savings and Flexible Spending Accounts, Family-forming benefits, and Life and Serious Injury Benefits. We also offer paid leave of absence programs. Full-time hourly employees accrue 35 days annually for paid time off to be used for vacation, holidays, and sick paid time off. Full-time salaried employees are immediately entitled to flexible time off. See more details about our Benefits here . Netflix is a unique culture and environment. Learn more here . Inclusion is a Netflix value and we strive to host a meaningful interview experience for all candidates. If you want an accommodation/adjustment for a disability or any other reason during the hiring process, please send a request to your recruiting partner. We are an equal-opportunity employer and celebrate diversity, recognizing that diversity builds stronger teams. We approach diversity and inclusion seriously and thoughtfully. We do not discriminate on the basis of race, religion, color, ancestry, national origin, caste, sex, sexual orientation, gender, gender identity or expression, age, disability, medical condition, pregnancy, genetic makeup, marital status, or military service. Job is open for no less than 7 days and will be removed when the position is filled.

Engineering Manager, Platform - Data Layer

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Senior Engineering Manager (Data Platform)

Ready to be pushed beyond what you think you’re capable of? At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system. To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of cryp

Senior Software Engineer I or II- Data Platform

$95,000 - $150,000/yr

Description Location: Remote, USA How You'll Contribute to Our Mission At Frontline Education, our mission is we transform how schools work, so every educator and student succeeds. Our vision is every school thriving. Every community stronger. We're hiring for multiple positions at either a Senior Software Engineer I or Senior Software Engineer II level to join our Data Platform Engineering team. The Data Platform team builds and evolves the cloud-native data capabilities that power analytics, reporting, operational insights, interoperability, and future AI-enabled experiences across Frontline's product ecosystem. Our team creates reusable platform services and trusted data foundations that allow product teams to publish, discover, govern, and consume data products at scale. As a Senior Software Engineer, you'll help shape the next generation of Frontline's data platform. You'll contribute beyond implementation by influencing technical decisions, improving engineering practices, strengthening platform reliability, and building scalable data capabilities that support educators, administrators, and school communities. Your work will help ensure that data remains accessible, trustworthy, interoperable, and ready to support both today's business needs and tomorrow's AI-powered innovations. How You'll Drive Success Data Platform Engineering* Design, build, test, deploy, and support cloud-native data platform capabilities and shared platform services. * Develop scalable ingestion, transformation, orchestration, and data access solutions that support operational and analytical workloads. * Build reusable and discoverable data products that enable reporting, analytics, and business decision-making across Frontline. * Design and support distributed data workflows leveraging event-driven architectures and messaging technologies such as Kafka. * Contribute to data modeling and persistence strategies across relational, analytical, event-oriented, and semi-structured data systems. * Support modernization initiatives that improve scalability, interoperability, governance, and maintainability across the data ecosystem. * Contribute to observability, resiliency, monitoring, troubleshooting, governance enablement, and operational excellence efforts. * Partner with product engineering, reporting, and analytics teams to improve adoption experiences and reduce integration complexity. Analytics \& AI Enablement* Help establish trusted and scalable data foundations that support reporting, analytics, operational insights, and future AI-enabled capabilities. * Collaborate with analytics, reporting, and application teams to support self-service analytics, operational reporting, and interoperable data access patterns. * Design solutions that improve data accessibility, discoverability, quality, governance, and operational readiness. * Contribute to evolving AI-related platform requirements, including feature preparation, retrieval patterns, operational data access, and scalable data consumption. * Help teams make pragmatic decisions that balance traditional analytics approaches with emerging AI opportunities. Technical Design \& Collaboration* Participate in discovery, refinement, and design discussions to evaluate requirements, identify tradeoffs, and shape practical platform solutions. * Collaborate closely with Product Managers, QA Engineers, Architects, Technical Leads, analytics teams, and Engineering Managers throughout the development lifecycle. * Contribute to architectural discussions while aligning solutions to platform standards, governance expectations, and long-term engineering objectives. * Communicate technical concepts, implementation approaches, operational considerations, and platform adoption strategies effectively to both technical and non-technical audiences. * Build strong partnerships across geographically distributed and cross-functional teams. Engineering Excellence* Develop secure, scalable, maintainable, and high-performing platform solutions. * Contribute to automated testing strategies including unit, integration, operational, and data validation testing. * Participate in code reviews and provide thoughtful technical feedback that improves engineering quality and consistency. * Support CI/CD automation and continuous delivery practices. * Contribute to improvements in observability, governance, resiliency, interoperability, scalability, and developer productivity. * Promote reusable engineering approaches, platform consistency, and sustainable development practices. * Mentor fellow engineers and contribute to a culture of ownership, collaboration, and continuous learning. AI-First Engineering* Leverage modern AI-assisted development tools such as GitHub Copilot, Claude Code, OpenAI Codex, and emerging technologies to accelerate development, testing, troubleshooting, documentation, and solution exploration. * Apply strong engineering judgment when evaluating and validating AI-generated outputs. * Use AI to improve productivity while maintaining high standards for governance, security, maintainability, scalability, and operational integrity. * Champion responsible and effective AI adoption across engineering workflows. What You Bring to Help Us Grow Placement will be determined based on experience, technical depth, scope of influence, and demonstrated impact. Senior Software Engineer I You will typically bring:* Bachelor's degree in Computer Science or a related field, or equivalent professional experience. * 5+ years of professional software engineering, platform engineering, or data platform engineering experience. * Experience designing and building cloud-native data platform capabilities. * Strong understanding of data ingestion, transformation, orchestration, and integration patterns. * Experience working with event-driven architectures, distributed systems, and modern data platforms. * Ability to independently design and deliver complex platform capabilities with high levels of quality, reliability, and maintainability. * Experience participating in technical design discussions and evaluating implementation tradeoffs. * Strong understanding of testing, scalability, governance, interoperability, and operational excellence. * Experience mentoring engineers and contributing to engineering best practices. * Experience leveraging AI-assisted development tools to improve engineering productivity while applying sound judgment and validation practices. Senior Software Engineer II You will typically bring:* Bachelor's degree in Computer Science or a related field, or equivalent professional experience. * 8+ years of professional software engineering, platform engineering, or data platform engineering experience. * Deep expertise designing, building, and evolving large-scale cloud-native data platforms and reusable data services. * Experience leading technical solutions that span multiple teams, data domains, or platform capabilities. * Proven success influencing engineering standards, data architecture decisions, governance practices, and platform direction. * Strong systems-thinking capabilities with experience balancing scalability, governance, interoperability, reliability, and customer outcomes. * Experience driving adoption of reusable data products and self-service platform capabilities across multiple teams. * Demonstrated success mentoring engineers and elevating engineering practices across broader organizations. * Experience influencing technical strategy, platform modernization initiatives, analytics enablement efforts, and long-term platform evolution. * Experience establishing effective AI-assisted engineering practices and helping teams adopt modern development workflows responsibly. * Ability to anticipate downstream impacts and guide engineering decisions that improve long-term platform sustainability and interoperability. Required Technical Experience for Both Levels* Experience designing and building cloud-native data platform capabilities. * Strong understanding of: * + Data ingestion and transformation patterns + Event-driven architectures + Distributed data systems + Data interoperability and integration patterns + Analytical and operational data workloads * Experience with AWS cloud-native services including: * + S3 + Lambda + EC2 + SNS/SQS + Container-based workloads + Data and analytics services * Experience with: * + Kafka or equivalent messaging technologies + Relational and analytical data systems + Distributed data processing concepts + Docker + CI/CD pipelines * Familiarity with modern data platform approaches including reusable data products, self-service platform capabilities, and data mesh concepts. * Experience working within Agile software development environments. * Strong communication, collaboration, and problem-solving skills. Preferred Qualifications* Experience with Snowflake, Databricks, Redshift, or similar analytical platform technologies. * Experience with analytics enablement platforms and reporting ecosystems. * Experience building shared platform capabilities consumed across multiple product teams. * Experience supporting AI or machine learning enablement through scalable data platform design. * Familiarity with governance concepts including lineage, discoverability, access control, metadata management, and data quality. * Experience with distributed streaming or CDC-based architectures. * Familiarity with Kubernetes or container orchestration platforms. * Experience working within multi-tenant SaaS environments. * Experience collaborating with geographically distributed engineering teams. * Experience leveraging AI-assisted or agentic development workflows in professional software engineering environments. What You'll Need to Thrive* A strong ownership mindset that reflects our value of Act like an owner. * A collaborative approach that reflects our belief that we're Better Together. * A commitment to understanding customer needs and delivering trusted data capabilities that create meaningful outcomes. * Strong systems-thinking capabilities that balance local decisions with broader platform impact and interoperability requirements. * Curiosity, adaptability, and a passion for learning and applying emerging technologies. * Comfort navigating ambiguity while maintaining focus on delivery, reliability, governance, and customer success. * A desire to build scalable, reusable data foundations that empower educators, administrators, and the teams that serve them. * A passion for enabling analytics, operational insights, interoperability, and future AI innovation through trusted data platforms. Our Mission, Our People, Our Purpose At Frontline Education, we’re reimagining what’s possible by becoming an AI-first organization, transforming how we think, work, and serve the educators who shape our schools every day. By using AI in thoughtful, practical ways, we’re creating tools that help educators save time, gain insights, and focus more on what matters most — their students. As part of our team, you’ll be expected and empowered to build and apply AI skillsets that grow with you, because at Frontline Education, technology amplifies what matters most: the human drive to learn, improve, and make a difference. How We Support Growth, Balance, and Well-Being * Personalized Time Off: Take time when it’s needed most — whether that’s a family vacation, a reset day, or simply time to rest and refocus. * Paid Sick Time: Separate, dedicated sick leave to care for yourself or loved ones. * Volunteer Time Off: Paid time to give back and support causes that matter to you. * Ten Paid Holidays: Enjoy meaningful moments and traditions throughout the year. * Our Philosophy: We believe time away from work helps you bring your best self to it. Continuous Learning and Growth * World-Class Learning Access: Explore thousands of on-demand courses through platforms like LinkedIn Learning. * Leadership \& Technical Skill Building: Develop new capabilities and chart your own professional path. * AI Empowerment: Use OpenAI tools to build fluency with emerging technology and harness AI as a creative partner for innovation and problem-solving. * Tuition Reimbursement: Invest in formal education to advance your skills and career. * Ongoing Learning Culture: Participate in company-led webinars on AI, inclusion, and industry trends—designed to inspire curiosity and continuous improvement. Health, Happiness, and Purpose * Wellness Initiatives: Company-sponsored programs that support physical, mental, and emotional well-being. * Employee Assistance Program (EAP): Confidential support for you and your family’s needs. * Comprehensive Benefits: Health and financial benefits that support your happiness and future. * A Culture That Cares: At Frontline Education, we want every team member to learn, grow, and thrive—personally, professionally, and purposefully. Compensation \& Benefits The full base compensation range for the Level I role is: $95,000-$125,000 The full base compensation range for the Level II role is: $135,000-$150,000 Frontline offers a competitive compensation package designed to reward impact and support your well-being, including:* Competitive base salary aligned to level, experience, skills, and market data. * Annual bonus opportunity. * 401(k) with company match. * Comprehensive medical, dental, and vision coverage. * Employee stock purchase opportunities where applicable. * Tuition reimbursement and professional development support. * Flexible time off and wellness-focused benefits. Inclusion, Belonging \& Equal Opportunity Frontline Education is an equal opportunity/affirmative action employer. We aspire to have an inclusive workplace and strongly encourage suitably qualified applicants from a wide range of backgrounds to apply and join our team. Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement. Interview Process \& Data Privacy As part of our interview process, Frontline uses video conferencing tools that include photo capture and may include automated transcription features. A screenshot or photo will be taken at the start of the interview for internal identification and record-keeping purposes only, and transcription may be used to support notetaking and evaluation consistency. These materials are used solely by our recruiting and hiring teams, stored securely, and not shared outside the hiring process. Candidates may opt out of transcription at any time by notifying their recruiter in advance. Frontline processes this information in accordance with applicable data privacy laws and only for legitimate business purposes related to recruitment and hiring. Our Privacy Policy: Your privacy is important to us. Click here to read our general Privacy Statement and click here to read our Applicant Privacy Statement.

Lead Data Center Engineer

From $127/yr

<h2>About Nubank</h2> <p>Nu is one of the largest digital financial platforms in the world, with more than 127 million customers across Brazil, Mexico, and Colombia. Guided by our mission to fight complexity and empower people, we are redefining financial services in Latin America – and this is still just the beginning of the purple future we're building. Listed on the New York Stock Exchange (NYSE: NU), we combine proprietary technology, data intelligence, and an efficient operating model to deliver financial products that are simple, accessible, and human. Our impact has been recognized by global rankings such as Time 100 Companies, Fast Company’s Most Innovative Companies, and Forbes World’s Best Bank. <br>Learn more at our careers page: https://international.nubank.com.br/careers/.</p> <h2><strong>About the role</strong></h2> <p>We are looking for a Lead Data Center Engineer to be the technical anchor for Nubank’s physical infrastructure and data center operations, ensuring reliability, scalability, and standardization across our global colocation footprint. The Data Center Eng team owns the physical layer of our infrastructure – from power, cooling, fire protection, security systems to structured cabling and operations – in data centers and technical rooms that host Nubank’s platforms.<br><br>As a key lead you will be a main point of contact for solving complex infrastructure inquiries, connecting multiple projects and stakeholders, and guiding the standardization of contracts, technical requirements, equipment, and documentation across all our data centers. </p> <h3><strong>As a Lead Data Center Engineer, </strong><strong>You'll be Responsible For</strong></h3> <ul> <li>Leading the technical direction of Nubank’s physical infrastructure and data center operations, acting as the main technical reference for the team on all infrastructure-related questions (power, cooling, space, cabling, safety, standards).</li> <li>Owning standardization across all data centers in terms of contracts, technical and operational requirements, equipment, and processes, ensuring a consistent, high-maturity setup in every site.</li> <li>Designing and maintaining robust, senior-level documentation (standards, procedures, runbooks, capacity, topology), making sure it is clear, up to date, and usable by different stakeholders across Nubank.</li> <li>Acting as the primary interface between Nubank teams and external data center providers, translating business needs into infrastructure requirements, work orders, change requests, and negotiations with vendors.</li> <li>Coordinating the design and deployment of infrastructure in third‑party data centers (space, racks, cages, power, cooling, cabling), ensuring compliance with Nubank’s safety, redundancy, and performance requirements – always focused on managing our space in colocation sites, not building our own data centers from scratch.</li> <li>Ensuring alignment between physical infrastructure and IT operations, including service installation, cabling changes, capacity planning, and estimating provider hours needed to deploy or modify environments.</li> <li>Supporting the manager in leading the team technically, helping to decompose work, review solutions, mentor engineers, and be the first escalation point for complex technical decisions so the manager can focus on strategy and broader topics.</li> <li>Interconnecting projects and maintaining standards across multiple data centers, making sure that, over time, all sites converge to the same level of standardization and quality in terms of infrastructure, contracts, and documentation.</li> <li>Driving continuous improvements in availability, resilience, and efficiency of our physical infrastructure (power systems, generators, UPS, cooling, fire protection, structured cabling, and more), in close collaboration with providers and internal stakeholders.</li> <li>Contributing to training and knowledge sharing within the team, helping to design and follow up on technical training, and creating clarity on expectations and standards for the broader group.</li> </ul> <h3><strong>We Are Looking for a Person Who Has</strong><strong><br></strong></h3> <ul> <li>Bachelor’s degree in Engineering (Mechanical, Electrical, Control/Automation, or related fields).</li> <li>8–10 years of experience in data center and technical room environments, including deployment and operations of physical infrastructure and IT infrastructure in colocation or enterprise data centers.</li> <li>Solid, hands-on experience with physical infrastructure systems such as power distribution, generators, UPS, cooling/HVAC, fire detection and suppression, and structured cabling in data centers.</li> <li>Proven experience working closely with data center IT operations (service installation, cabling changes, capacity planning, provider work orders and hours, and environment deployment activities).</li> <li>Demonstrated ability to act as a technical lead / anchor for a team, being the person others go to first for infrastructure questions and decisions, and ensuring consistent technical standards across multiple sites or projects.</li> <li>Strong track record of creating and maintaining clear, robust, senior-level technical documentation for infrastructure standards, procedures, and designs.</li> <li>Availability and interest to work based in São Paulo, Brazil, in a hybrid set‑up, with close proximity to the manager and most of the team.</li> </ul> <h4><strong><br></strong><strong>Nice to have</strong><strong><br></strong></h4> <ul> <li>Experience in large-scale technology or cloud companies and/or major data center providers, where you developed knowledge about power, cooling, equipment installation, structured cabling and vendor management.</li> <li>Experience supporting global, multi-site operations and collaborating with teams distributed across different countries.</li> <li>Previous experience mentoring or technically leading small engineering teams, especially in infrastructure or facilities-related contexts.</li> <li>Familiarity with financial services or other highly regulated industries and their expectations for reliability, resilience, and risk management.</li> </ul> <h2><strong>Location</strong></h2> <p>São Paulo, Brazil</p> <h2><strong>Our</strong><strong> </strong><strong>Benefits</strong></h2> <ul> <li>Chance of earning equity at Nubank</li> <li>Food/ Meal Card (Vale-Refeição and/or Vale Alimentação)</li> <li>Public Transportation Commuting Benefit (Vale-Transporte)</li> <li>NuCare – Psychological, Financial and Legal Assistance Program</li> <li>Life Insurance</li> <li>Medical Plan</li> <li>Dental Plan</li> <li>NuLanguage – Language Course Program</li> <li>Nucleo - Our learning platform of courses</li> <li>Extended Parental Leave</li> <li>Daycare Allowance</li> <li>Parental Consultancy</li> <li>Work-from-home Allowance</li> <li>Gym Partnerships</li> <li>30 days of paid vacation</li> <li>Relocation Assistance Package, if applicable</li> </ul> <h3><br><strong>Work Model for this Role</strong></h3> <p><strong>Hybrid 2-3 times/week</strong>: Our hybrid work model brings us to the office at least twice a week, on strategic days designed to maximize team connection and collaboration. For more details, visit&nbsp;<a href="https://building.nubank.com/nu-hybrid-work-model/">https://building.nubank.com/nu-hybrid-work-model/</a></p> <p><br><br></p>

Lead Data Engineer

Summary The Lead Data Engineer will design, build, and maintain the organization’s enterprise data platform, leading the technical implementation of data pipelines, warehouses, and analytics infrastructure that powers business intelligence, reporting, and advanced analytics across the PBM and Pharmacy organization. This hands-on technical leadership role sets data engineering standards, mentors team members, and partners with business and technology stakeholders to deliver trusted, well-governed, and timely data products. * Essential Duties and Responsibilities * Data Platform Engineering: * Design and build scalable, reliable data pipelines that ingest, transform, and load data from operational systems, clinical platforms, claims, and third-party sources. * Develop and maintain the enterprise data warehouse, data lake, and analytical data models that serve reporting and analytics use cases. * Design data services and event-driven integration patterns that enable scalable downstream consumption by analytics platforms, operational systems, APIs, and AI-enabled applications. Technical Leadership * Serve as the senior technical authority for data engineering, setting standards for code quality, pipeline design, data modeling, and testing across the team. * Lead technical planning for data engineering initiatives, breaking work into well-scoped tasks and coordinating delivery across team members. * Mentorship and Collaboration: * Provide technical direction and code review for data engineers, ensuring consistency, quality, and adherence to standards. * Participate in hiring and onboarding of data engineering team members, including technical interviews and skills assessments. * Mentor data engineers across all levels, fostering a culture of technical excellence, knowledge sharing, and continuous improvement. Data Architecture And Modeling * Partner with the Architecture team to define and implement data architecture, including data warehouse models, data lake structures, and integration patterns. * Apply dimensional modeling, normalization, and modern data modeling techniques (e.g., Kimball, Data Vault) to support analytics and reporting requirements. Performance And Reliability * Optimize query performance, storage costs, and pipeline runtime across the data platform. * Implement observability, monitoring, and alerting for production data pipelines, and partner with operations to ensure timely incident response. * Identify reliability, data quality, and performance risks and develop mitigation strategies to ensure platform stability and data trustworthiness. Data Governance And Compliance * Implement controls to ensure compliance with HIPAA, PHI/PII handling, and other regulatory requirements applicable to the healthcare and pharmacy sectors. * Partner with security and compliance teams on access control, encryption, audit logging, and data lineage for sensitive data assets. * Design and enable scalable, governed data access patterns that support AI/ML systems, intelligent automation, and emerging agentic workflows, including structured, semantic, and real-time data consumption patterns. Business Partnership * Partner with analytics, business intelligence, and product teams to understand data needs and deliver fit-for-purpose datasets, models, and pipelines. * Translate business and reporting requirements into well-designed technical data engineering solutions. Tooling And Innovation * Evaluate and recommend new data engineering tools, frameworks, and cloud services that improve productivity, scalability, or cost-efficiency. * Stay current on advances in cloud data platforms, lakehouse architectures, streaming technologies, and AI/ML data infrastructure. Support And Troubleshooting * Provide production support for critical data pipelines, participating in on-call rotations as needed. * Diagnose and resolve complex data quality, performance, and integration issues spanning multiple systems and platforms. Operational Oversight * Implement data quality validation, backup and recovery, and pipeline monitoring to ensure continuous data delivery. * Recommend tooling and infrastructure needed to support the enterprise data platform. * Prepare and review data platform health metrics, pipeline performance reports, and project status updates. Documentation * Implement and maintain metadata, lineage, cataloging, and semantic data definitions that improve discoverability, trust, and machine usability of enterprise data assets. Education And Experience * Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field or relevant experience. Master’s degree in a relevant discipline preferred. * 8+ years of professional data engineering experience, with at least 2 years in a senior or technical lead capacity preferred. * Hands-on experience designing and operating enterprise data platforms in a healthcare, pharmaceutical, or Pharmacy Benefit Management environment preferred. * Prior experience implementing real-time data streaming pipelines that power reporting, dashboards, and operational visibility preferred. Knowledge, Skills, And Abilities * Expert-level proficiency in SQL, Python, and modern data engineering frameworks (e.g., Spark, dbt, Airflow). * Deep experience with cloud data platforms (Snowflake, Databricks, Redshift, or BigQuery) and storage layers (S3, ADLS). * Strong understanding of data modeling, warehousing patterns (Kimball, Data Vault), and lakehouse architectures. * Strong understanding of regulatory standards affecting the healthcare and pharmacy sectors, including HIPAA. * Proficient in modern cloud platforms (AWS, Azure), CI/CD for data, and infrastructure-as-code tools (Terraform, CloudFormation). * Experience building data foundations for AI agents and RAG-based applications, including semantic modeling, metadata enrichment, vector-search integration, governed APIs/tools, and secure access patterns for machine-consumable enterprise data. * Familiarity with Microsoft Power BI, including semantic models, datasets, and enablement of self-service reporting and dashboards. * Familiarity with real-time and streaming data technologies (e.g., Kafka, Kinesis, Spark Streaming, Flink) supporting reporting and operational visibility. * Excellent communication skills, capable of explaining technical concepts to both engineering and business stakeholders. * Ability to lead technical initiatives end-to-end while mentoring engineers and driving quality and reliability. Work Environment / Physical Demands This position is in a typical office environment which requires prolonged sitting in front of a computer. Requires hand-eye coordination and manual dexterity sufficient to operate standard office equipment including operation of standard computer and phone equipment. May have occasional high stress when dealing with customers/clients. Some travel may be required. EOE M/F/D/V

Lead Data Engineer - Primary Care

$142,300 - $195,700/yr

Become a part of our caring community ========================================= The Lead Data Engineer oversees data processing architectures and solutions ensuring the efficient conversion of structured and unstructured data to insights at enterprise scale. You will work on problems of diverse scope and complexity ranging from moderate to substantial. You will report to the Director, Business Intelligence. * You will ingest data from internal and external sources using cloud native platforms and software development best practices and patterns. * You will develop software tools using artificial intelligence, machine learning, and big data to turn data into insights that improve member outcomes. * You will exercise decision-making on complex issues regarding job responsibilities and related tasks, requiring analysis of variable factors and determining the best course of action. * You will lead the development of PCO Analytics' data warehouse using Medallion architecture and Kimball modeling to deliver optimized, business-ready data marts and star schemas for analytics. * You will lead the Information Architecture of PCO Analytics, establishing well-governed processes to ensure holistic metadata, reference data management, ontologies, and semantic layers. * You will collaborate with partners to develop data governance frameworks and standards. Required Qualifications * Bachelor's degree and 8+ years of technical experience in data engineering OR Master's degree and 4+ years of experience. * Expertise in Medallion architecture and Kimball dimensional modeling. * Experience integrating semantic and organizational data assets with leading AI platforms. * 2+ years of project leadership experience. * Advanced experience working with big and complex data sets within large organizations. * Advanced in SQL, Snowflake, Databricks, or other data systems. * 2+ years' experience in dbt. * Proficiency in understanding Healthcare related data. * Ability to work within the EST time zone. Use your skills to make an impact ===================================== Preferred Qualifications * Advanced Degree in a quantitative discipline, such as Mathematics, Economics, Finance, Statistics, Computer Science, Engineering or related field. * Experience creating analytics solutions for several healthcare sectors. * Cloud certification in leading cloud or AI platform such as Snowflake, Azure, Databricks, AWS, or GCP. Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required.Scheduled Weekly Hours 40Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance.Description of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. Application Deadline: 07-03-2026About us ============ About CenterWell Senior Primary Care: CenterWell Senior Primary Care provides proactive, preventive care to seniors, including wellness visits, physical exams, chronic condition management, screenings, minor injury treatment and more. Our unique care model focuses on personalized experiences, taking time to listen, learn and address the factors that impact patient well-being. Our integrated care teams, which include physicians, nurses, behavioral health specialists and more, spend up to 50 percent more time with patients, providing compassionate, personalized care that brings better health outcomes. We go beyond physical health by also addressing other factors that can impact a patient’s well-being. About CenterWell, a Humana company: CenterWell is a leading healthcare services business focused on creating integrated and differentiated experiences that put our patients at the center of everything we do. The result is high-quality healthcare that is accessible, comprehensive and, most of all, personalized. As the largest provider of senior-focused primary care, a leading provider of home healthcare and a leading integrated home delivery, specialty, hospice and retail pharmacy, CenterWell is focused on whole health and addressing the physical, emotional and social wellness of our patients. CenterWell is part of Humana Inc. (NYSE: HUM). Learn more about what we offer at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

IT Lead Data Engineer

From $138,000/yr

Job Summary JOB DESCRIPTION The Lead Data Engineer is expected to be an expert at effectively working with business partners to understand their data needs and develop technical designs and requirements to meet those needs. This role is the team leader in helping extract, transform, and store the Firm’s valuable data assets to achieve better operational efficiencies and provide better services to its clients through modern data movement pipelines. This role, in collaboration with other data engineers, data architects, and other IT teams, will operationalize and document data extraction and ingestion platforms. This role is the team’s leader for developing strategies, policies, and governance models to ensure the Firm’s data remains accurate, timely and relevant to the Firm’s goals. This role will provide guidance and mentorship to junior data engineers, as well as helping delegate work items and tickets across the Data Engineering team. Job Duties * Works with stakeholders and data architects to define and design data solutions to support the Firm’s data initiatives * Understands and locates where data assets exist within the Firm’s systems and design solutions integrating disparate data sources to solve problems and provide business value * Collaborates with project managers to provide effort estimates and provides technical leadership in solution design and requirements * Works closely with data governance to ensure principles are followed through the course of day-to-day data usage and solution design * Prepares mock-up solution designs, visualizations and reports to effectively demonstrate proposed solutions and deliverables * Acts as a subject matter expert, evangelist and catalyst to educate on the Firm’s data platforms and best practices as they relate to the usage and hygiene of the Firm’s data assets * Meets regularly with business line customers to gain a better understanding of their business processes and of the customer's evolving data needs to help identify potential data-related projects * Works with data scientists and developers to use emerging and advanced technologies such as artificial intelligence and machine learning to identify and extrapolate hidden patterns and trends, increasing the value of the Firm’s data * Builds and maintains constructive working relationships with project team members, vendors and other departments involved with projects, systems, and IT strategies * Serves as a technical expert and lead to other team members, reviewing proposed solution designs, conducting code reviews, and troubleshooting advanced technical issues * Identifies and executes continuous improvement efforts to ensure the Firm’s data remains accurate and timely * Works closely with the Information Security and Compliance teams to ensure the firm’s data strategy and technologies meet or exceed both internal policies and external regulatory requirements * Collaborates with BDO Global and other BDO member firms to ensure standards between organizations are followed in support of reusable models and rapid deployment of shared technology * Understands and follows Project Management basics and Project Management Office policies and procedures * Other duties as required Supervisory Responsibilities * N/A Education Qualifications, Knowledge, Skills, and Abilities: * High School Diploma or GED, required * Bachelor’s Degree in Computer Science, Information Management, Mathematics, or Statistics, preferred Experience * Eight (8) or more years working as a data engineer, data analyst or similar analyst/engineer roles, required * Eight (8) or more years working with PowerBI, Tableau or similar data visualization products, required * Five (5) or more years working within commercial cloud platforms such as Microsoft Azure, AWS, or GCP, required * Three (3) or more years using version control tools (Azure DevOps, GitHub), required * Demonstrable proficiency in developing and understanding custom and ad-hoc SQL queries, required * Experience working within a large, complex enterprise with significant regulatory and compliance requirements, preferred * Experience using a modern scripting language such as Python, Scala, R, or Java, preferred * Professional service firm experience, preferred Software * Strong proficiency in the use of Microsoft Office suite, specifically Excel, required * Strong proficiency in the use of SQL Server Management Studio (SSMS), or similar, required * Strong proficiency in the use of PowerBI, Tableau, Looker, Qlik, or similar, required Other Knowledge, Skills \& Abilities * Strong analytical, organizational and problem-solving skills * Excellent written communication skills, maintaining accurate documentation and technical authorship of complex documents * Ability to facilitate meetings efficiently and effectively * Ability to follow an issue through to its logical conclusion, and escalate as necessary * Ability to work independently as well as part of a team, including providing technical leadership to less experienced colleagues * Excellent interpersonal and customer relationship skills * Capable of working in a deadline-driven environment, while handling multiple complex projects/tasks simultaneously with a focus on details * Capable of working well under pressure while dealing with unexpected issues in a professional manner * Ability to work after hours and weekends as needed * Capacity to travel as needed Individual salaries that are offered to a candidate are determined after consideration of numerous factors including but not limited to the candidate’s qualifications, experience, skills, and geography. National Range: $138,000 - $170,000 Maryland Range: $138,000 - $170,000 NYC/Long Island/Westchester Range: $138,000 - $170,000 #Remote About Us Join us at BDO, where you will find more than a career, you’ll find a place where your work is impactful, and you are valued for your individuality. We offer flexibility and opportunities for advancement. Our culture is centered around making meaningful connections, approaching interactions with curiosity, and being true to yourself, all while making a positive difference in the world. At BDO, our purpose of helping people thrive every day is at the heart of everything we do. Together, we are focused on delivering exceptional and sustainable outcomes and value for our people, our clients, and our communities. BDO is proud to be an ESOP company, reflecting a culture that puts people first, by sharing financially in our growth in value with our U.S. team. BDO professionals provide assurance, tax and advisory services for a diverse range of clients across the U.S. and in over 160 countries through our global organization. BDO is the first large accounting and advisory organization to implement an Employee Stock Ownership Plan (ESOP). A qualified retirement plan, the ESOP offers participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. The ESOP stands as a compelling addition to our comprehensive compensation and Total Rewards benefits* offerings. The annual allocation to the ESOP is fully funded by BDO through investments in company stock and grants employees the chance to grow their wealth over time as their shares vest and grow in value with the firm’s success, with no employee contributions. We Are Committed To Delivering Exceptional Experiences To Middle Market Leaders By Sharing Insight-driven Perspectives, Helping Companies Take Business As Usual To Better Than Usual. With Industry Knowledge And Experience, a Breadth And Depth Of Resources, And Unwavering Commitment To Quality, We Pride Ourselves On * Welcoming diverse perspectives and understanding the experience of our professionals and clients * Empowering team members to explore their full potential * Our talented team who brings varying skills, knowledge and experience to proactively help our clients navigate an expanding array of complex challenges and opportunities * Celebrating ingenuity and innovation to transform our business and help our clients transform theirs * Focus on resilience and sustainability to positively impact our people, clients, and communities * BDO Total Rewards that encompass so much more than traditional “benefits.” Click here to find out more! * Benefits may be subject to eligibility requirements. Equal Opportunity Employer, including disability/vets Click here to find out more! All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status. "BDO USA, P.A. is an EO employer M/F/Veteran/Disability"

Lead Data Engineer

From $10/yr

Sr./ Lead Data Engineer About The Role We are seeking an experienced Data Engineer (Lead / Sr) to drive engineering excellence within our team. In this role, you will be responsible for defining the technical vision of our invoicing platform, mentoring engineers, and collaborating closely with Product, Finance, and Operations to deliver scalable and reliable solutions. You will balance hands-on development with strategic oversight, ensuring high-quality delivery while fostering team growth. Key Responsibilities * Lead the design, development, and optimization of scalable invoicing systems, including invoice generation and reconciliation processes * Establish and enforce technical standards, architectural principles, and coding best practices * Serve as the primary technical liaison for cross-functional stakeholders across Finance, Product, and Operations * Perform comprehensive code reviews to ensure quality, maintainability, and security * Drive incident management, root cause analysis, and continuous improvement initiatives * Break down complex requirements into well-defined engineering tasks and delivery milestones * Proactively identify and address technical debt, balancing immediate delivery needs with long-term system sustainability Required Qualifications * 10+ years of software engineering experience, including at least 2 years in a technical leadership role * Strong expertise in backend system design, preferably within the healthcare domain * Proficiency in SQL, Snowflake, DBT, and Dagster * Solid understanding of relational databases, data modeling, and query performance optimization * Experience with cloud platforms and CI/CD pipelines * Proven ability to deliver high-quality solutions in agile environments * Excellent communication skills, with the ability to engage both technical and non-technical stakeholders * Collaborative mindset with a strong focus on mentoring and team development

Lead Data Engineer

From $68,000/yr

Lead Data Engineer London Bridge £68,000 - £80,400 We’re looking for a Lead Data Engineer to play a pivotal role in shaping how Hyde uses data to make better decisions, improve services for residents and operate more effectively. This is an exciting opportunity for an experienced data professional to lead the development of modern, secure and scalable data solutions that support meaningful outcomes across the organisation. In this role, you’ll provide technical leadership across Hyde’s data platforms and pipelines, helping to ensure our systems are reliable, efficient and ready to meet the needs of a data-led organisation. You’ll work at the forefront of our cloud and data engineering capability, supporting better insight, stronger governance and more joined-up services. You’ll also lead and support a team of data engineers, driving high standards in delivery, security and continuous improvement. Working closely with colleagues across technology and the wider business, you’ll help turn complex data needs into practical solutions that improve customer outcomes and strengthen decision-making across Hyde. What you’ll be doing * Lead the design, build and delivery of Hyde’s data platform, including data pipelines, cloud infrastructure and integration solutions. * Ensure data solutions are scalable, secure and reliable, supporting real-time access to high-quality information across the business. * Drive engineering standards, governance and continuous improvement across data architecture, automation and deployment practices. * Work closely with stakeholders, analysts and technical teams to translate business needs into practical, value-driven data solutions. * Lead, coach and develop Data Engineers, creating a collaborative team culture focused on performance, learning and delivery. About you * You have strong experience leading data engineering work in a complex or enterprise environment. * You bring deep technical expertise in modern data platforms, cloud infrastructure and data pipeline development. * You understand data architecture, integration, security and governance, and can apply this knowledge in a practical way. * You can translate complex technical concepts into clear, accessible language for a range of stakeholders. * You’re a collaborative leader who can develop others, build strong working relationships and drive continuous improvement. Why join us? At Hyde, we’re committed to creating great homes and communities where people can thrive. If you’re looking for a leadership role where you can shape our data capability, influence strategic decisions and help deliver better outcomes for customers and colleagues, we’d love to hear from you. Diversity, inclusion and accessibility Equity, diversity and inclusion are central to life at Hyde. We’re committed to creating a truly inclusive workplace where everyone feels respected, valued and able to be themselves. Our aim is to have a workforce that reflects the diversity of the customers and communities we serve, ensuring that different perspectives are represented in decision-making, service delivery, and the way we shape our organisation. As a Disability Confident Employer, we’re happy to provide reasonable adjustments throughout the recruitment process and in the workplace.

Technical Lead – Data Engineering

From $12/yr

Technical Lead – Data Engineering Hybrid – Charlotte, NC 12mo+ Contract Role Overview We are seeking a Technical Lead – Data Engineering to provide hands-on technical leadership across our data engineering platform . This role combines deep technical expertise with collaborative leadership, architectural stewardship, and delivery accountability. In this role, you will partner closely with existing technical leadership within the Data \& Analytics organization, including other technical leads, architects, and senior engineers, to design and evolve scalable data solutions . You will help drive consistency, share best practices, and collectively shape the technical direction of the platform . The role remains highly hands-on , with significant contribution in AWS Glue (PySpark), Python, Kafka, AWS DMS, AWS Lambda, AWS Redshift, and Aurora PostgreSQL , while acting as a key technical voice within the broader data engineering leadership group. Key Responsibilities Technical Leadership \& Collaboration * Act as a hands-on technical leader for the Data Engineering area, collaborating with existing technical leads and architects to define and align on platform standards and architectural direction. * Partner with peer technical leaders to ensure consistency across data ingestion, transformation, streaming, and consumption patterns. * Contribute to shared technical roadmaps, design reviews, and architecture forums. * Provide technical guidance and escalation support while respecting shared ownership and collective decision-making. Architecture \& Engineering Standards * Help design, evolve, \& maintain scalable, fault-tolerant architectures for batch \& streaming data pipelines. * Establish and reinforce engineering standards for: * Pipeline design and reliability * Code quality and testing * Performance and cost optimization * Security and operational best practices * Drive alignment on ingestion strategies, CDC patterns, streaming vs. batch tradeoffs, and data modeling approaches. Hands-On Data Engineering * Lead development of complex ETL/ELT pipelines using AWS Glue (PySpark) and Python. * Build, optimize, and support Kafka-based streaming pipelines, including topic design, partitioning strategies, and consumer patterns. * Implement and tune AWS DMS pipelines for full-load and CDC ingestion. * Develop AWS Lambda functions for orchestration, automation, monitoring, and event-driven workflows. * Design and optimize schemas, queries, and performance for Amazon Aurora PostgreSQL. Platform Reliability, Performance \& Cost * Share ownership of platform reliability, scalability, and performance with other technical leaders. * Identify and resolve bottlenecks in Spark jobs, streaming consumers, and database workloads. * Ensure robust error handling, retries, idempotency, and recovery strategies. * Partner with cloud/platform teams on cost optimization, capacity planning, and infrastructure improvements. Data Quality \& Trust * Partner closely with Data Quality Engineers and peer technical leaders to ensure quality validations are embedded throughout pipelines. * Ensure pipelines support reconciliation, auditability, and observability. * Enforce data freshness, completeness, and accuracy SLAs for downstream consumers, including Qlik. Mentorship \& Team Enablement * Mentor data engineers through code reviews, design sessions, and technical coaching. * Collaborate with other technical leaders to raise the overall engineering maturity of the team. * Contribute to hiring, onboarding, and skills development efforts. * Promote knowledge sharing through documentation, demos, and internal forums. Stakeholder \& Cross-Team Engagement * Work closely with analytics, BI, \& business partners to translate requirements into scalable data solutions. * Partner with BI teams to ensure curated datasets are analytics-ready for Qlik. * Communicate technical decisions, risks, and tradeoffs clearly and collaboratively. Required Qualifications * 8+ years of experience in data engineering or backend data platform development . * 3+ years in a senior or technical leadership role with shared architectural ownership . * Expert-level experience with AWS Glue (PySpark) , Python , and distributed data processing . * Experience with Kafka and streaming architectures . * Hands-on experience implementing and supporting AWS DMS Batch and CDC pipelines . * Advanced SQL skills and experience with Amazon Aurora PostgreSQL . * Experience with AWS Lambda and serverless/event-driven architectures . * Strong understanding of data modeling and batch vs. streaming design patterns . * Demonstrated ability to collaborate effectively with peer technical leaders. * Excellent communication and documentation skills. Preferred Qualifications * Familiarity with orchestration tools ( Step Functions, Airflow ). * Knowledge of data governance , lineage , and cataloging practices . * Experience optimizing Spark workloads for performance and cost. * Experience in enterprise or regulated environments. What Success Looks Like * Strong partnership and alignment with existing technical leadership. * Data engineering standards are well-defined, shared, and consistently applied. * Pipelines are scalable, reliable, and meet performance and quality SLAs. * Engineers are well-supported, mentored, and productive. * Ramp up on product development and implementation within a 30-45 day timeframe. Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment. EEO: We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws. Benefits \& Perks: Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee’s needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc. Pay Disclaimer: The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Senior Lead Data Engineer

$37 - $61/yr

Department Name: IT ClinApps Insurance DivisionWork Shift: DayJob Category: Information Technology Banner Health was named to Fortune’s Most Innovative Companies in America 2025 list for the third consecutive year and named to Newsweek's list of Most Trustworthy Companies in America for the second year in a row. We’re proud to be recognized for our commitment to the latest health care advancements and excellent patient care. The Enterprise Population Health Management Analytics team is responsible for providing vital information that enhances the consumer, patient, provider, and employee experience across Banner Health. The team takes pride in delivering information that is used to provide insight and support key decision-making processes across the organization and with our business partners. This unit supports the critical data analytics needs for Banner Health and delivering the right information in a timely manner supports Banner Health’s mission of making health care easier, so life can be better. As the data engineering lead, you will partner with the business in gathering requirements, evaluating, developing, and implementing solutions that meets the needs of our customers. You will partner with various IT teams and subject matter experts in prioritizing projects and monitoring progress to ensure that deliverables are implemented on time. You will ensure appropriate resourcing is available to support these projects. This is a Monday through Friday position 8am - 5pm AZ Time zone. Your pay and benefits (Total Rewards) are important components of your Journey at Banner Health. Banner Health offers a variety of benefit plans to help you and your family. We provide health and financial security options, so you can focus on being the best at what you do and enjoying your life. Within Banner Health Corporate, you will have the opportunity to apply your unique experience and expertise in support of a nationally-recognized healthcare leader. We offer stimulating and rewarding careers in a wide array of disciplines. Whether your background is in Human Resources, Finance, Information Technology, Legal, Managed Care Programs or Public Relations, you'll find many options for contributing to our award-winning patient care. POSITION SUMMARY This position is a high-level individual contributor with expertise in selected business or healthcare processes and participates in formulating system scope and objectives relative to the company’s requirements. The incumbent participates in meetings, presentations, visioning sessions, planning sessions, implementation activities, and supports functions system wide. Acts independently or as a leader of a team to provide knowledge, guidance, research and fact- finding expertise to define, design and modify specifications and processes of complex information systems. Responsible for establishing system documentation standards and quality assurance methodologies for systems and applications. Maintains current professional and technical knowledge. CORE FUNCTIONS 1. Business Outcomes: Relentless focus on delivering outcomes and value to our business. Partners across organization and related functional areas to understand internal customer needs related to service excellence, including but not limited to analytical, technology and reporting needs; determine the appropriate course of action; make recommendations in an actionable format including to senior management, to achieve desired business results. Facilitates cross-functional teams and/or leads projects with departmental or company-wide scope to implement system changes. This may also include providing oversight, change management, general work direction or leadership to individuals on team; conducts regular meetings with stake holders and uploads necessary documents to the shared information repositories, such as SharePoint or Teams. 2. Technology Standards: Establishes and defines processes, documentation and standards for quality, and provides expert advice to ensure adherence to critical operating standards; mentors junior members of the team; Provides leadership for customers, information technology staff and various committees guiding the design, implementation and maintenance of complex application and system specifications and processes. Participates and may lead task forces to plan, implement, and coordinate facility activities to maximize information technology service quality, effectiveness and efficiency. 3. Innovation and Futures: Analyzes and reports on complex customer needs. Manages and supports the identification and research of new developments and uses of current systems and applications, as well as upgraded systems and applications. 4. Advisor \& Partner: Develops strong relationships with internal and business partners; collaborate in appropriate areas, including application design, system optimization, programming complex models, transferring large data feeds, and staying current on emerging technology related to all systems. 5. Communication: Presents information or ideas to the interests, level and needs of the audience. Actively engages participants and encourages input. Uses group process skills to ensure that the agenda is met. Promotes and facilitates free and open communication. Adapts choice of language and presentation of ideas to fit various needs and perspectives of audiences. 6. Measurements: Ensures Key Performance Indicators are developed and tracked in all levels of work effort. Clearly defines success and implements the measurements to understand when success is achieved. 7. Strategic: Designs and administers complex standards and policies regarding application and end user customer documentation. Ensures that department and company standards are implemented. 8. This position has responsibility for selected area of responsibility. Work is performed in a fast-paced multi-tasked environment where there may be conflicting priorities or tight deadlines. The incumbent must have significant knowledge about cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. The incumbent has collaborative decision-making authority for projects and applications and works at peer and leader levels. The incumbent may also be expected to troubleshoot issues at a complex level and appropriately escalate issues to other resources, as needed. The incumbent participates in meetings, presentations, visioning sessions, planning sessions, implementation activities, and supports functions system wide. May be responsible for leading cross functional teams using project management skills to achieve desired results. MINIMUM QUALIFICATIONS Must possess strong technical and business knowledge as typically obtained through the completion of Bachelor’s degree in Statistics, Epidemiology, Computer Sciences, Process Engineering, Business, Healthcare, Information systems or related field. A minimum of four to seven years of experience or equivalent as typically obtained in one or multiple areas: reporting and/or analytics in clinical, financial, insurance, utilization, patient satisfaction, supply chain, HR, clinical application configuration, or related field. Must possess significant knowledge of cross functional departments in order to serve as a liaison and provide relevant guidance or leadership. Must possess strong project management skills and ability to work independently, manage large, multiple projects, complex reports, while organizing priorities. Excellent communication, interpersonal and critical thinking skills are required. Strong technical skills as appropriate for position (SQL/Ansi SQL, SAS, Tableau, Excel, clinical software applications, etc.). PREFERRED QUALIFICATIONS Experience with system implementation and project management. Additional experience with specialized applications in related area also preferred. Experience with department specific software (Cerner, NextGen, Centricity, TSI, and Quality Advisor, SAS or SSRS), including advanced integrated or independent report writing applications. Master’s degree or higher in relevant field. Advanced knowledge in area of expertise. Additional related education and/or experience preferred. Estimated Pay Range: $37.14 - $61.90 / hour Banner Health is committed to pay equity and transparency. The posted compensation range is a reasonable estimate that extends from the lowest to the highest pay Banner Health in good faith believes it might pay for this particular job, based on the circumstances at the time of posting. This range is based on possible base salaries and does not include the value of our total rewards package. Actual pay determined at offer will be based on years of relevant work experience, education, certifications, skills, and geographic location, along with a review of current employees in similar roles to ensure pay equity is achieved and maintained. EEO Statement: EEO/Disabled/Veterans Our organization supports a drug-free work environment. Privacy Policy: Privacy Policy

Lead Data Engineer

From $215,200/yr

Lead Data Engineer Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. As a Capital One Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the Team: The Transaction Core team, a key part of the PINT (Payments Intelligence) organization, is dedicated to building and maintaining the foundational data platforms that empower Capital One to understand and act on customer spend. Our mission is to provide an actionable understanding of purchase transactions to enrich our customer's financial lives through real-time, intelligent, and resilient platform-based services. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal \& external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 4 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * 7+ years of experience in application development including Python, SQL, Scala, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience with NoSQL implementation (Mongo, Cassandra) * 4+ years of data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion At this time, Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (i.e. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-2, E-3, L-1 and O-1, or any EADs or other forms of work authorization that require immigration support from an employer). The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. San Francisco, CA: $215,200 - $245,600 for Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Lead Data Engineer

$125,000 - $150,000/yr

Overview: We're looking for a Lead Data Engineer to own the reliability and operational excellence of our data platform. You'll work hands-on across Snowflake, Airflow, AWS, Python, and SQL, building and operating systems that support analytics, machine learning, and business decisions. This is a technical leadership role, but it is also deeply hands-on. You'll write code, debug pipelines, tune performance, and operate production systems. You’ll also set standards, lead incidents, drive cost optimization, and remove technical blockers across teams. The expectation is simple: you do the work, and you set up the bar for how the work gets done. Responsibilities:* Build, maintain, and operate data pipelines and curated data products across Snowflake, Airflow (MWAA), AWS, Python, and SQL. * Optimize Snowflake architecture at scale. Design warehouse strategies, implement clustering and materialized views, enforce resource monitors, control costs, and tune performance across large datasets. * Implement observability and data quality controls. Build monitoring for freshness, volume, schema, distribution, and lineage. Define data quality SLOs and ensure teams can see issues before users do. * Support and operate production data systems. Troubleshoot failures, respond to alerts, debug pipeline issues, and improve system behavior based on real incidents. * Own SLAs, uptime, and service commitments for data platforms and critical services. Monitor performance, track reliability metrics, and make sure availability and freshness targets are met. * Lead major incident responses and postmortems. Coordinate resolution during critical outages, drive root cause analysis, and implement corrective actions that prevent recurrence. * Architect data platforms across dev, test, and production. Design for disaster recovery, upgrades without downtime, automation that recovers from failure, and availability that supports business continuity. * Define and enforce data platform standards. Establish orchestration patterns, DAG anti-patterns, deployment practices, observability standards, data quality patterns, and operational runbooks used across the organization. * Lead cost optimization programs. Identify savings across Snowflake (compute/storage) and AWS resources, forecast capacity needs, and balance cost against reliability and performance goals. * Lead AI and LLM adoption and governance. Build and validate AI-assisted pipelines, define approved use cases and guardrails, and ensure AI-generated output meets reliability and quality expectations. * Make architectural decisions with an organization-wide impact. Evaluate build versus buy, set migration strategies for legacy systems, define data contracts and API standards, and balance innovation with operational stability. * Lead technical planning and remove blockers. Coordinate with Cloud, Security, Analytics, Data Science, and Product teams to resolve dependencies and keep delivery moving. * Prevent knowledge silos. Write documentation, maintain runbooks, record architectural decisions, and create shared practices that let engineers operate independently and onboard quickly. * Design and enforce data governance controls for regulated environments. Implement PII handling, access controls, audit logging, data retention policies, and compliance validation for SOC 2, GDPR, HIPAA, or similar frameworks. Qualifications: * Deep hands-on experience with Snowflake, Airflow (MWAA), AWS, Python, and SQL in production environments. * Strong ability to design, build, debug, and operate data pipelines at scale. * Experience owning production systems with uptime and reliability expectations. * Proven ability to lead incident response and drive postmortems that result in real system improvements. * Solid data architecture and system design skills, including disaster recovery, high availability, and upgrades without downtime. * Experience implementing observability and data quality controls across complex data systems. * Demonstrated success defining and enforcing engineering standards adopted by other teams. * Strong cost management experience, including running optimization efforts and forecasting capacity. * Experience leading technical initiatives across teams without direct authority. * Experience implementing governance and compliance controls in regulated or high-risk environments. * Ability to mentor through standards, examples, and shared practices rather than formal people management. * 8+ years of data engineering experience, with several years owning critical platforms or services. Preferred qualifications * Experience leading AI and LLM adoption in data platforms, including validation of AI-generated pipelines and guardrail design. * Advanced Airflow experience, including reusable DAG patterns, scheduler tuning, and failure prevention. * Experience with dbt at scale, including testing standards, macros, and deployment practices. * Experience with OpenLineage, schemachange, or similar tools for lineage and schema management. * Experience leading platform migrations or modernization efforts with minimal disruption. * Experience streaming or near-real-time data systems such as Kafka, Kinesis, or Flink. * Experience running resilience testing such as failure injection or disaster recovery drills. * Cloud certifications such as AWS Certified Solutions Architect, AWS Data Analytics Specialty, or Snowflake SnowPro. * Bachelor's or master's degree in computer science, Data Engineering, or equivalent practical experience Base Salary: $125,000 -$150,000 USD The base salary range represents the low and high end of the anticipated salary range for this position based on the U.S. average. The actual base salary offered for this full-time position will be determined by various factors, including but not limited to, location, skills, knowledge, competencies, and experience. All full-time salaried employees are eligible for the following benefits, starting on day one: Flexible Paid Time Off Program, Medical, Dental, Vision, Life Insurance, Disability, and other voluntary coverages. You will also be eligible to participate in our 401k program, starting on the first of the month following 30 days of employment with a company match. This employer participates in E-Verify for US-based hires. #AttainFinance EEO Statement: Attain Finance Supports Equal Employment Opportunity. CURO (dba Cash Money®, LendDirect®, Heights Finance, Southern Finance, Covington Credit, Quick Credit, and First Heritage Credit) is committed to a policy of providing equal employment opportunity to all qualified employees and applicants. This commitment is reflected in all aspects of our daily operations. We do not discriminate on the basis of race, color, sex, religion, national origin, marital status, age, disability, veteran status, or genetic information in any personnel practice, including recruitment, hiring, training, compensation, promotion, and discipline. Additionally, we do not discriminate based on any other characteristic protected by applicable state/provincial or local law where a particular employee works. In addition, it is the policy of Attain Finance to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by federal law and any state/provincial law where a particular employee works. Notice to Attain Finance job applicants: Attain Finance will never ask for your personal banking information, transfer of funds, a credit card, or for you to purchase any equipment to process a job application or for training. Authorized Attain Finance representatives' email addresses will end in @attainfinace.com, @curo.com, @first-heritage.com, @heightsfinance.com, and @cashmoney.ca.

Lead Data Engineer

$100,000 - $200,000/yr

Who We Are: Galaxy is a global leader in digital assets and data center infrastructure, delivering solutions that accelerate progress in finance and artificial intelligence. We believe that blockchain and digital asset innovation will transform how value moves through the world – and we're building the products and services to make that future a reality. Our institutional digital assets platform spans trading, investment banking, asset management, staking, self-custody, and tokenization technology. We also invest in and operate cutting-edge data center infrastructure to power AI and high-performance computing, addressing the growing demand for scalable energy and compute in the U.S. We work at the intersection of finance and technology, helping institutions, startups, and developers navigate a digitally native economy. Led by CEO and Founder Michael Novogratz, our team blends deep crypto expertise with institutional experience and a shared commitment to shaping the future of Web3 and AI. Galaxy is headquartered in New York City, with offices across North America, Europe, the Middle East, and Asia. To learn more about our businesses and products, visit www.galaxy.com. What We Value: We are a diverse team of free thinkers, and fast movers united to help investors and creators energize the global economy. We are looking for individuals who thrive in a culture of builders and overachievers and embrace high performance, transparent feedback, and a mission-first approach. Our culture shapes our way of working and gets us where we want to be. Seek Excellence.* Be Selective To Be Effective.* Be Highly Aligned, Loosely Coupled.* Disagree Transparently.* Encourage Independent Decision-Making.* Build Dream Teams.* Who You Are: You're a senior, hands-on data engineer with 8+ years of experience designing, building, and operating production data platforms at scale — and you're ready to lead. You set the technical direction for data infrastructure, mentor other engineers, and raise the bar for engineering quality across the team. You're fluent in Python or Java and deeply experienced across the modern data stack — AWS, Databricks/Spark, dbt, and Airflow. You care about data quality, write clean and well-tested code, and own systems end-to-end from architecture through production. You're curious about crypto and energized by working at the intersection of finance and emerging technology. What You'll Do: * Set the technical vision and roadmap for Galaxy's data platform, partnering across business lines (Trading, Custody, Asset Management, Mining) to deliver reliable, scalable infrastructure * Architect, build, and operate scalable batch and streaming data pipelines, owning them from design through production * Develop and operate high-throughput, low-latency data processing systems * Work within the Databricks and Spark ecosystem to support large-scale data workloads * Build and maintain cloud-native data solutions on AWS * Leverage dbt for transformation, data modeling, testing, and documentation * Use Airflow (or similar orchestration tools) to manage and schedule data workflows * Write clean, efficient, and well-tested code, following best practices in software engineering * Mentor and develop other engineers, lead code reviews, and raise the bar for engineering quality across the team * Drive technical design discussions and decisions across teams, and continuously improve system performance, scalability, and reliability * Own production reliability — lead incident response, root-cause analysis, and long-term remediation * Partner with product, analytics, and infrastructure teams to deliver impactful data solutions aligned to business priorities What We're Looking For: * Bachelor's or Master's degree in Computer Science, Engineering, or related field * 8+ years of professional experience in data engineering or distributed systems, including time spent in a technical leadership or staff-level role * Expert hands-on coding experience in Python, Java, or similar languages * Proven track record of leading the design and delivery of large-scale data platforms in production * Experience building and operating both batch and streaming data pipelines * Deep experience with AWS, Databricks/Spark, and modern data architectures (lakehouse, streaming, real-time analytics) * Hands-on experience with dbt for transformations and Airflow (or similar) for orchestration * Solid understanding of data modeling, data quality, and production data systems * Experience working with relational and non-relational databases (e.g., Postgres, SQL Server) * Strong working knowledge of CI/CD, testing frameworks, and monitoring/observability tools * Experience mentoring engineers and influencing technical direction across teams Bonus Points: * Experience with dependency injections frameworks, ideally: Spring, Guice, HK2 * Experience with Docker * Full lifecycle development of a commercial system, including: requirements definition, agile planning, releasing, and production support * Experience in Crypto What We Offer: * Competitive base salary and discretionary bonus * Hybrid/Flexible Working Arrangements * Flexible Time Off (paid) * 3% 401(k) company contribution * Company-paid health and protective benefits for employees, partners, and other dependents * Generous paid Parental Leave * Competitive family planning benefits for US employees * Opportunities to learn about the Crypto industry * Smart, entrepreneurial, and fun colleagues * Free daily snacks and weekly breakfasts/lunches * Employee Resource Groups * Free coaching and counseling sessions through Headspace Apply now and join us on our mission to engineer a new economic paradigm. Galaxy respects diversity and seeks to provide equal employment opportunities to all employees and job applicants for employment without regard to actual or perceived age, race, color, creed, religion, sex or gender (including pregnancy, childbirth, lactation and related medical conditions), gender identity or gender expression (including transgender status), sexual orientation, marital or partnership or caregiver status, ancestry, national origin, citizenship status, disability, military or veteran status, protected medical condition as defined by applicable state or local law, genetic information or predisposing genetic characteristic, or other characteristic protected by applicable federal, state, or local laws and ordinances. We will endeavor to make a reasonable accommodation to the known limitations of a qualified applicant with a disability unless the accommodation would impose an undue hardship on the operation of our business. If you believe you require such assistance to complete the application process or to participate in an interview, please contact careers@galaxy.com.

Lead Data Engineer - Data Platform Engineering (Hybrid)

From $174/yr

174891 Job Description We're looking for a hands-on Lead Data Engineer to architect and build the data pipelines and infrastructure that power our analytics, ML, and business intelligence capabilities. You'll design greenfield data solutions while modernizing our existing systems to create a scalable, reliable, and performant data platform. Leads the implementation of information systems to manage financial functions for Patient Financial Services/Accounts. Oversees projects and initiatives to meet user requirements. Serves as a liaison between department (user) and vendors. Ensures systems compliance to applicable laws, regulatory standards and policies. This is a unique opportunity to own critical data infrastructure from the ground up. You'll spend your time building robust ETL/ELT pipelines, optimizing data models, building reusable and extensible frameworks, and mentoring the team all while solving complex challenges around data ingestion, transformation, and orchestration at scale. Job Responsibility * Coordinates implementation of information system initiatives to meet user requirements. * Communicates with user departments and project teams regarding implementation activities and system changes to ensure feasibility. * Develops system specifications that appropriately meet department requirements. * Develops systems to track data in comprehensive and innovative ways. * Collaborates with hospital departments and outside vendors to facilitate managed care contract implementation. * Coordinates and maintains communication between the hospital and vendor(s) regarding system applications. * Performs periodic post-installation reviews of system initiatives. * Conducts system-wide in-services with managers and staff, as necessary. * Ensures systems compliance to applicable laws, regulatory standards and policies. * Uses knowledge and skills to contribute to the development of functional objectives and principles to achieve goals in innovative ways. Problems addressed are of diverse scope and complexity ranging from moderate to substantial. * Performs related duties as required. All responsibilities noted here are considered essential functions of the job under the Americans with Disabilities Act. Duties not mentioned here, but considered related are not essential functions. Job Qualification * Bachelor's Degree required, or equivalent combination of education and related experience. * 5-7 years of relevant experience including technical experience with Apache Hadoop, NoSQL, setting up cloud clusters, Apache Spark, and other advanced data science and big data technologies, required. Highly Preferred * Extensive Google Cloud Platform (GCP) experience * Previous experience as a Data Platform Engineer/ Data Engineer/ Analytics Engineer for a large organization * Experience in/ with Python (FastAPI, Pandas, Polars, etc.) * Experience with infrastructure as code, specifically Terraform * Extensive experience with Airflow, DBT, and/ or Dataform * Experience with OpenLineage, OpenMetadata and data contracts * Extensive experience with BigQuery, CloudSQL, Pub/ Sub, Dataflow, Cloud Storage, etc. * Experience with the Cloud Healthcare API/ FHIR/ HL7 * Additional Salary Detail The salary range and/or hourly rate listed is a good faith determination of potential base compensation that may be offered to a successful applicant for this position at the time of this job advertisement and may be modified in the future.When determining a team member's base salary and/or rate, several factors may be considered as applicable (e.g., location, specialty, service line, years of relevant experience, education, credentials, negotiated contracts, budget and internal equity).

Analytics / Data Engineer

From $500/yr

Prop Firm Match Global FZCO is a leading platform for discovering, comparing, and selecting top proprietary trading firms. We provide traders with tools and features to easily compare challenge details, read verified reviews, see accurate payout data, and much more. We're a fast-moving, fully remote team with members from all around the world caring deeply about the quality of what we build. Our culture values ownership, clear communication, and practical impact over fluff. Whether you're a trader, technologist, marketer, or operator - your work here shapes how thousands of users find and trust prop firms. About The Department Data \& Analytics is the function that turns raw business data into decisions. We own the data platform, product analytics, marketing attribution, and revenue operations analytics. Our current priority is building reliable data infrastructure that supports both day-to-day reporting and the next wave of AI-driven workflows at PFM. About The Role Own and scale the core data platform that powers reporting, attribution, product analytics, reconciliation, AI workflows, and company-wide decision-making at PFM. Turn fragmented raw data into reliable, reusable business intelligence layers that enable faster decisions and scalable automation. Performance objectives Objective 1 - Own the data platform foundation Outcome: Reliable, well-modelled, documented warehouse data that powers reporting and AI workflows across the company. Typical tasks: * Own BigQuery warehouse architecture and dbt models * Manage Airbyte pipelines and tracking infrastructure * Apply orchestration tools (e.g., Airflow) for recurring workflows * Monitor pipeline reliability and address breakages Objective 2 - Build reliable business data models Outcome: Trusted source of truth across revenue, attribution, product funnels, partner performance, finance, and executive reporting. Typical tasks: * Model revenue and commission flows end-to-end * Model product funnels for conversion analysis * Model partner performance for the Revenue Operations team * Build executive reporting layers Objective 3 - Improve data quality and reduce manual work Outcome: Reduced reconciliation discrepancies; reduced manual reporting overhead across Finance, Analytics, and Partners teams. Typical tasks: * Implement governance, permissions, monitoring, and alerting * Automate recurring reports and reconciliations * Enable self-service analytics for non-technical stakeholders * Improve documentation and discoverability of warehouse tables Objective 4 - Enable AI workflows and new integrations Outcome: AI/automation initiatives scale on clean data; new sources are integrated without manual stitching. Typical tasks: * Integrate QuickBooks, CRM, support, social, and operational systems * Support AI enablement (Claude / internal AI assistants) with structured data * Use AI-assisted coding workflows to speed development * Partner with Engineering on integration architecture Reporting cadence * Reports to: Konstantinos Kattidis, Head of Data \& Analytics * Direct reports: None * Key cross-functional partners: Product, Marketing, Finance, Operations, Analytics, Engineering * Upward reporting cadence: Weekly 1:1 with Head of D\&A; monthly written summary; quarterly OKR review Location \& work setup * Remote, with strong overlap with CET hours (4+ hours of overlap) * Working hours: roughly 9 AM - 6 PM CET, with reasonable flexibility * Employment type: Full-time Compensation: $3,500-$5,500 / month gross Requirements What we look for Must have * 3+ years of experience as a Data Engineer or Analytics Engineer * Strong SQL and warehouse modelling skills (dbt, BigQuery preferred) * Data pipeline engineering experience (Airbyte, orchestration, monitoring) * Comfortable with workflow orchestration tools (Airflow or similar) * Strong data governance, quality, and documentation mindset * Excellent async written communication - we are remote-first Nice to have * AI-assisted coding fluency (e.g., Claude, Cursor, Copilot) * Prior experience in fintech, prop trading, or SaaS * Experience integrating QuickBooks, CRM, or operational systems * Cross-functional partnership experience with Product, Marketing, or Finance Benefits Hiring stages We keep our process simple, transparent, and respectful of your time. Here's what to expect: * Application screening: We carefully review all applications to identify candidates whose background aligns with the role's requirements. You'll receive a timely and transparent update on your application status. * Video intro + role fit questionnaire: A short async step - no scheduling required. You'll record a brief video introduction and complete a written questionnaire. This helps us understand who you are, your relevant background, and how your experience aligns with the role without either side committing to a live call upfront. * Discovery HR Interview A conversation with our HR team focused on company and culture match. We'll walk you through how PFM works, what remote ownership looks like in practice, and what success in this role looks like. You'll have plenty of space to ask questions and share your goals. * Real-world task A short, scoped exercise based on real PFM data challenges - not abstract problems. This stage is designed to give both sides a realistic view of the work before committing further. * A deep-dive Professional interview You will meet the Head of Data \& Analytics at PFM to focus on your technical expertise, analytical methodology, and how you approach real business problems. This is the decisive conversation on domain skills and role-specific experience. * Functional Interview A broader professional conversation with a senior member of the team: We'll explore your analytical thinking, how you communicate insights to different audiences, how you handle ambiguity, and how you operate within cross-functional environments. * Peer \& values conversation A cross-team interview evaluated against PFM's structured values scorecard: You'll meet a peer and a bar raiser from outside the immediate team. If there's a strong mutual match, we start with an informal conversation to align on expectations, then follow up with a formal written offer. Full transparency throughout, and time for you to make an informed decision. Before applying take into account that: ▸ If you don't meet every single qualification but believe you can excel in the role based on what it requires - we encourage you to apply. ▸ We are an equal opportunity employer and welcome applicants from all backgrounds, experiences, and perspectives. ▸ Even if it's not listed as a formal requirement, we truly value candidates who have clear familiarity with the prop trading industry and us, our mission and what we do. Not the right fit for this role? If this role isn't the right match but you have experience in trading operations, customer success, compliance, support, partnerships, or a related area - we still want to hear from you. Join our Talent Pool and we'll reach out when a relevant role opens. Every submission is reviewed, and the pool is always the first place we look before opening a new search.

Lead Data Engineer – Modernization & Reliability

From $142,300/yr

Become a part of our caring community The Lead Data Engineer is responsible for leading the modernization, optimization, and stabilization of the Wisconsin Medicaid Market's data platform ecosystem across two independent health plan technology stacks. This role owns the market's Data Warehouse and ODS, drives ETL/data movement strategy (including SSIS modernization), and improves the reliability, observability, and security posture of data pipelines supporting critical Medicaid operations. The Lead Data Engineer partners closely with the Market BI team as their IT counterpart to improve data access and flow, including establishing and managing Databricks pipeline patterns and platform enablement as the BI environment evolves. The Lead Data Engineer owns and evolves the Wisconsin Medicaid Market's data stores and data movement ecosystem, including the Data Warehouse and ODS, and the ETL processes that connect vendor and internal systems. This role is accountable for modernizing and optimizing the market's data platform to improve reliability, reduce technical debt, strengthen observability/fault tolerance, and increase engineering efficiency in a complex dual-stack environment. The Lead Data Engineer is also the Market BI team's primary IT partner for data platform enablement — improving data access patterns, strengthening pipeline governance, and helping establish a maintainable approach to Databricks pipelines and workflows as the market matures its analytics capabilities. This is a Lead-level individual contributor role where work requires higher autonomy and complexity and includes directing the work of a small number of contract resources while remaining hands-on in delivery. Team Culture \& Expectations On the Wisconsin Medicaid Market IT team, how you show up is as important as what you accomplish. We value a positive attitude, curiosity, ownership, and a desire to learn and make a meaningful difference. This role requires collaboration, high accountability, and comfort operating in ambiguity while continuously improving data reliability, security, and outcomes for associates, members, providers, and other stakeholders. Skills \& Capabilities Use your skills to make an impact The ideal candidate blends deep data engineering fundamentals with the ability to lead through influence — setting direction, improving reliability, and guiding others' work (including contract resources) while staying hands-on. Required Skills * SQL, ETL/ELT \& Data Platform Depth - Proven production experience with SQL Server data engineering, including warehousing patterns, operational support, performance tuning, and ETL/ELT design. Strong experience with SSIS/SSRS and Azure Data Factory (or similar orchestration) in real operating environments. * Integration \& Interoperability Tooling (WI Market Reality) - Experience working across integration engines and healthcare data movement patterns, including tools such as Rhapsody / CorePoint * Modernization, Optimization \& Stabilization Mindset - Demonstrated ability to modernize and optimize fragile pipelines and legacy patterns, reduce technical debt, and improve reliability, observability, and fault tolerance. * Databricks / UDAP Growth Path (directional, not gatekeeping) - Experience with Databricks and/or enterprise data platforms (e.g., UDAP), or strong aptitude and desire to grow into these platforms as part of market modernization and enterprise alignment. * Execution Leadership - Highly organized, self-directed, and able to drive work to outcomes in an ambiguous, rapidly changing environment including planning, sequencing, and communicating progress/risk. Experience creating detailed technical documentation to gain buy-in and drive decisions. Team operates in SAFe Agile practices. * Vendor / Contract Resource Direction - Ability to direct and review contract resource work (clarify requirements, establish standards, review deliverables, ensure maintainability). Preferred Skills * Own the market's data stores (Data Warehouse + ODS) and ensure stability, security, and performance * AI Integration * Lead modernization and optimization of the ETL ecosystem, including SSIS modernization and improved reliability/observability * Drive reduction of legacy report patterns and support transition aligned to enterprise SSRS footprint reduction efforts * Partner with Market BI as their IT counterpart to improve data access and establish/manage Databricks pipeline patterns * Define and enforce data engineering standards aligned with enterprise direction. * Reduce technical debt and streamline workflows to lower operational burden on engineers and increase delivery capacity Additional Information Work-At-Home Requirements * WAH requirements: Must have the ability to provide a high speed DSL or cable modem for a home office. Associates or contractors who live and work from home in the state of California will be provided payment for their internet expense. * A minimum standard speed for optimal performance of 25x10 (25mpbs download x 10mpbs upload) is required. * Satellite and Wireless Internet service is NOT allowed for this role. * A dedicated space lacking ongoing interruptions to protect member PHI / HIPAA information Travel: While this is a remote position, occasional travel to Humana's offices for training or meetings may be required. Scheduled Weekly Hours 40 Pay Range The compensation range below reflects a good faith estimate of starting base pay for full time (40 hours per week) employment at the time of posting. The pay range may be higher or lower based on geographic location and individual pay will vary based on demonstrated job related skills, knowledge, experience, education, certifications, etc. $142,300 - $195,700 per year This job is eligible for a bonus incentive plan. This incentive opportunity is based upon company and/or individual performance. Description Of Benefits Humana, Inc. and its affiliated subsidiaries (collectively, “Humana”) offers competitive benefits that support whole-person well-being. Associate benefits are designed to encourage personal wellness and smart healthcare decisions for you and your family while also knowing your life extends outside of work. Among our benefits, Humana provides medical, dental and vision benefits, 401(k) retirement savings plan, time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave), short-term and long-term disability, life insurance and many other opportunities. About Us About Inclusa: Inclusa manages the provision of a person-centered and community-focused approach to long-term care services and support to Family Care members across the state of Wisconsin. As a values-based organization devoted to building vibrant and inclusive communities, Inclusa deploys a unique approach to managed care with a trademarked model of support named Commonunity® which focuses on the belief in everyone, and from that belief, the common good for all is achieved. In 2022, Inclusa was acquired by Humana. This partnership will allow us to create a model of care that provides industry-leading support for members across the health care continuum. About Humana: Humana Inc. (NYSE: HUM) is a leading U.S. healthcare company. Through our Humana insurance services and our CenterWell healthcare services, we make it easier for the millions of people we serve to achieve their best health – delivering the care and service they need, when they need it. These efforts are leading to a better quality of life for people with Medicare and Medicaid, families, individuals, military service personnel, and communities at large. Learn more about what we offer at Humana.com and at CenterWell.com. Equal Opportunity Employer It is the policy of Humana not to discriminate against any employee or applicant for employment because of race, color, religion, sex, sexual orientation, gender identity, national origin, age, marital status, genetic information, disability or protected veteran status. It is also the policy of Humana to take affirmative action, in compliance with Section 503 of the Rehabilitation Act and VEVRAA, to employ and to advance in employment individuals with disability or protected veteran status, and to base all employment decisions only on valid job requirements. This policy shall apply to all employment actions, including but not limited to recruitment, hiring, upgrading, promotion, transfer, demotion, layoff, recall, termination, rates of pay or other forms of compensation and selection for training, including apprenticeship, at all levels of employment.

Unit Lead - Data Engineer (m/w/d)

Im Zuge unseres weiteren Wachstums möchten wir unser Team verstärken und suchen eine erfahrene Persönlichkeit als Unit Lead Data Engineering (m/w/d) . In dieser Rolle übernimmst du die fachliche und disziplinarische Führung unseres Data-Engineering-Teams, treibst innovative Datenprojekte voran und entwickelst gemeinsam mit uns zukunftsweisende technologische Lösungen. Dich erwartet ein spannender Mix aus Greenfield-Projekten und der Weiterentwicklung bestehender Plattformen mit Fokus auf moderne Data-Lakehouse-Architekturen. Neben deiner technischen und fachlichen Verantwortung gestaltest du aktiv den weiteren Ausbau der Unit – von Strategie und Portfolioentwicklung bis hin zur Unterstützung im Pre-Sales und Business Development. Wenn du den Anspruch hast, Strukturen aktiv zu gestalten, Verantwortung zu übernehmen und deine Erfahrung in anspruchsvollen Kundenprojekten wirkungsvoll einzubringen, freuen wir uns auf deine Bewerbung. Aufgaben Fachliche und disziplinarische Führung des Data-Engineering-Teams Aufbau, Konzeption und Weiterentwicklung moderner Datenplattformen und Data-Lakehouse-Architekturen (z. B. auf Basis von Databricks) Strategische Beratung unserer Kunden bei der Einführung und Skalierung datengetriebener Plattformen in unterschiedlichen Branchen Entwicklung und Optimierung von ETL-/ELT-Pipelines zur Verarbeitung großer Datenmengen in Batch- und Streaming-Szenarien Sicherstellung von Qualität, Best Practices und technischer Exzellenz im Team – von Code Reviews über Architekturentscheidungen bis hin zu Standards für DataOps und CI/CD Aktive Mitgestaltung der Unit-Strategie, des Portfolios sowie Unterstützung bei Go-to-Market- und Pre-Sales-Aktivitäten Qualifikation Du verfügst über Berufserfahrung, Studium oder Ausbildung im Bereich der IT Mehrjährige (5+ Jahre) Erfahrung im Data Engineering Fundierte Erfahrung mit Databricks (z. B. Delta Lake, Spark, Workflows) Erfahrung in der fachlichen oder disziplinarischen Führung von Teams oder der Leitung komplexer Projekte Kenntnisse moderner Datenarchitekturen (z. B. Data Lakehouse, Data Mesh) Sicherer Umgang mit Python, SQL und/oder Scala Erfahrung mit Cloud-Plattformen (Azure, AWS oder GCP) und DevOps-/DataOps-Praktiken (z. B. CI/CD, Git, Terraform) Strukturierte und selbständige Arbeitsweise Gute Kommunikationsfähigkeit sowie eine schnelle Auffassungsgabe Deutsch in Wort und Schrift (C2) / Englisch mind. B2 Benefits Wir bieten dir u.a.: Altersvorsorge Teamorientierte Unternehmenskultur und Teamevents Fachliche Weiterbildung Jobrad und Corporate Benefits Programm Flexible Arbeitszeiten, moderner Arbeitsplatz, Mobile Office Wir freuen uns auf deine Online-Bewerbung – werde Teil unseres Teams und profitiere von unseren länderspezifischen Unternehmens Benefits. Find more English Speaking Jobs in Germany on Arbeitnow

Senior Data Engineer, Exposure

The engineering team at Chainalysis is inspired by solving the hardest technical challenges and creating products that build trust in cryptocurrencies. We’re a global organization with teams in Denmark, UK, Canada, the USA who thrive on the challenging work we do and doing it with other exceptionally talented teammates. Our industry changes every day and our job is to create user facing products supported by a flexible and scalable data platform allowing us to adapt to those rapid changes and bring value to our customers. Chainalysis has become known as the leader in blockchain investigation and compliance software. Our products have built trust in blockchains by taking down terrorist financing campaigns , disrupting major ransomware operations , identifying the Twitter hackers , and more. We are building the data platform for blockchain, cryptocurrency, and web3. We’re looking to bring onboard experienced Senior Software Engineers who execute high-impact projects and are excited about building at a significant scale! In this role, you’ll: Build cloud-native data ingest and aggregation processes that intake gigabytes of data per day. Develop and optimize high-performance Spark jobs in Python to detect activities for market manipulation, fraud, behavioral patterning, and more. Build and improve batch-based applications as well as real-time streaming pipelines processing billions of records per day. Architect and maintain scalable data lakehouse environments using formats like Parquet, Iceberg, and Delta Lake. Collaborate on building scalable API services on AWS that interface with our data layer to handle 1,000s of requests per second. Help the team modernize our data stack to operate at 10x current capacity, moving toward highly automated, serverless architectures. Debug production data quality issues and performance bottlenecks across distributed systems and microservices. We’re looking for candidates who have: Experience in designing and implementing cloud-native, distributed data processing systems in a major cloud provider (AWS preferred). Deep expertise in Python and Apache Spark, with a strong understanding of performance tuning and distributed computing principles. A bias to ship and iterate alongside product management and design partners to turn raw data into actionable insights. A technical background with extensive experience working directly on backend systems and large-scale data architecture. Pride in materializing complex product ideas into stable, production-grade data pipelines. Exposure to or interest in the cryptocurrency technology ecosystem and the unique data challenges it presents Mentored other engineers, leading cross-team data initiatives, and driving design and technology decisions is a plus Worked with Terraform and Kubernetes (EKS) for orchestrating data workloads is a plus A genuine excitement for significantly scaling large data systems and exploring the latest in "Modern Data Stack" technologies Technologies we use (experience not required): Languages : Python, Java Big Data : Spark (PySpark), Flink, Databricks Storage : Parquet, Iceberg, Delta Lake, Paimon Cloud/Infra : AWS (Serverless, EMR, Lambda), Kubernetes, Terraform CI/CD : GitHub including GitHub Actions Database : PostgreSQL, Snowflake/Redshift About Chainalysis Blockchain technology is powering a growing wave of innovation. Businesses and governments around the world are using blockchains to make banking more efficient, connect with their customers, and investigate criminal cases. As adoption of blockchain technology grows, more and more organizations seek access to all this ecosystem has to offer. That’s where Chainalysis comes in. We provide complete knowledge of what’s happening on blockchains through our data, services, and solutions. With Chainalysis, organizations can navigate blockchains safely and with confidence. You belong here. At Chainalysis, we believe that diversity of experience and thought makes us stronger. With both customers and employees around the world, we are committed to ensuring our team reflects the unique communities around us. We’re ensuring we keep learning by committing to continually revisit and reevaluate our diversity culture. We encourage applicants across any race, ethnicity, gender/gender expression, age, spirituality, ability, experience and more. If you need any accommodations to make our interview process more accessible to you due to a disability, don't hesitate to let us know. You can learn more here . We can’t wait to meet you.

Senior Lead Data Engineer (Bank Tech)

From $229,900/yr

Senior Lead Data Engineer (Bank Tech) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Senior LeadData Engineers who are passionate about marrying data with emerging technologies. As a Capital One Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One. About the team: The Bank Tech Data, Decisioning, \& Market Services Domain serves as the analytical engine of the bank, building the infrastructure that turns data into smart, fast decisions. We integrate data and AI capabilities into a single, cohesive platform that supports our business and capital market teams. Our focus is on creating a modern data architecture that allows us to leverage information responsibly, providing the predictive insights needed to deliver better outcomes for our clients. Looking ahead, our imperatives are centered on evolving our predictive insights and scaling our AI-driven decisioning models. What You’ll Do: * Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies * Lead a team of developers with deep experience in machine learning, distributed microservices, and full stack systems * Utilize programming languages like Python and Java and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake * Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal \& external technology communities, and mentoring other members of the engineering community * Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment * Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: * Bachelor’s Degree * At least 6 years of experience in application development (Internship experience does not apply) * At least 2 years of experience in big data technologies * At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Preferred Qualifications: * Master's Degree * 9+ years of experience in application development including Python, SQL, or Java * 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) * 5+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL) * 4+ year experience working on real-time data and streaming applications * 4+ years of experience with NoSQL implementation (Mongo, Cassandra) * 4+ years of data warehousing experience (Redshift or Snowflake) * 4+ years of experience with UNIX/Linux including basic commands and shell scripting * 2+ years of experience with Agile engineering practices * Experience leveraging interactive AI tooling to accelerate productivity, utilizing capabilities beyond basic code completion Capital One will consider sponsoring a new qualified applicant for employment authorization for this position. The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked. McLean, VA: $229,900 - $262,400 for Sr. Lead Data Engineer Wilmington, DE: $209,000 - $238,500 for Sr. Lead Data Engineer Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. This role is expected to accept applications for a minimum of 5 business days. No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries. If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

Solution Architect - Database & Data Engineering (m/f/d)

From $170/yr

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas: Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D. The whole world trusts us when it comes to physical or digital currencies. We increase the security and efficiency of the cash cycle in collaboration with central banks and the entire currency industry. As the market leader in advanced currency management, would you like to join us in shaping the future of payments? To strengthen our architecture capabilities, G+D is seeking an experienced Solution Architect (m/f/d) with a strong focus on database and data engineering. In this role, you will support the evolution of our software solutions portfolio—ranging from high-performance banknote processing systems to SaaS offerings—used by leading central and commercial banks worldwide.You will design scalable and resilient data(-base) architectures across on-premises and cloud environments, integrating classical relational database systems with modern data lake and analytics architectures on Azure. Working closely with development teams, Product Management, and other stakeholders, you will ensure that data platforms meet functional, non-functional, and regulatory requirements.A key aspect of this role is hands-on collaboration with engineering teams: validating architectural decisions through prototypes, defining reusable patterns and reference architectures, and supporting the implementation and evolution of both relational database platforms and modern data lake solutions. Your Responsibilities * Design and validate scalable data models and storage concepts across relational and NoSQL technologies. * Guide teams in adopting modern cloud data patterns (e.g. lakehouse, event-driven data flows, API-centric services) and ensure architectural consistency across data products. * Define and oversee batch and streaming data pipelines to enable secure, reliable, and efficient data ingestion, transformation, and distribution. * Ensure data governance, security, privacy, and compliance in alignment with internal policies, customer requirements, and regulatory standards. * Lead proof-of-concepts to evaluate and validate emerging technologies for data integration, analytics, and cloud-based data management. * Collaborate with development teams in Munich and India across all phases of the product development lifecycle, supporting architecture-driven decisions from ideation through deployment and operations. * Partner closely with Product Management, Service, Security, and Legal to translate business, operational, and regulatory requirements into practical, scalable, and secure architectural solutions. Your Requirements * Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field. * 8+ years of professional experience in data engineering, data architecture, or platform architecture roles. * Proven experience designing and implementing Azure-based data solutions (e.g. Azure Data Factory, Databricks, Event Hub). * Strong expertise in relational database systems (e.g. Oracle, PostgreSQL) and NoSQL technologies (e.g. MongoDB). * Solid understanding of modern data architectures, including data lakes, lakehouse concepts, and event-driven data platforms. * Hands-on experience with batch and streaming data integration technologies (e.g. ETL tools, Kafka, Azure Event Hub). * Deep technical knowledge of data modeling, performance optimization, partitioning, indexing, and scaling strategies. * Familiarity with analytics, BI, data governance, or ML-related platforms is a plus. * Strong stakeholder management and communication skills, with the ability to explain complex data concepts to non-technical audiences. * Very good written and spoken German and English skills. * Proven ability to collaborate effectively with globally distributed and cross-functional teams.

Blockchain Data Infrastructure Engineer

From $200/yr

Blockchain Data Infrastructure Engineer Company: Kednus Employment Type: Full-time / Part-time / Contract Work Arrangement: Remote Experience Level: Senior (5–7 years) Education: Associate degree or equivalent experience Role Purpose Kednus is building institutional-grade blockchain financial infrastructure. As a Blockchain Data Infrastructure Engineer , you will own the blockchain data layer that transforms complex, fragmented multi-chain activity into standardized, reconciled, and audit-ready financial records. You will design and build systems that make blockchain data reliable, structured, and usable for accounting, analytics, and compliance across 200+ blockchains. Key Responsibilities * Build scalable ingestion pipelines for blockchain, wallet, exchange, DeFi, custodian, and off-chain transaction data. * Normalize and standardize transactions across multiple chains, token standards, smart contracts, NFTs, stablecoins, and DeFi protocols. * Develop classification systems for blockchain activities such as swaps, transfers, staking, lending, bridging, gas fees, rewards, liquidations, and contract interactions. * Implement wallet-level cost basis tracking, entity mapping, reconciliation, and sub-ledger generation. * Design and maintain chain adapters and robust data quality systems (duplicate detection, missing data handling, failed transactions, and consistency checks). * Collaborate with product and accounting teams to translate blockchain events into finance-grade transaction categories. * Build monitoring and alerting systems for indexing health, chain availability, reorgs, API latency, and provider outages. * Ensure data accuracy and reliability across large-scale multi-chain datasets powering institutional financial reporting. Required Qualifications * 5+ years of experience in data engineering, blockchain infrastructure, crypto accounting systems, or distributed systems. * Strong understanding of blockchain fundamentals including wallets, smart contracts, token standards, RPC nodes, indexers, and event logs. * Hands-on experience building ETL/ELT pipelines, streaming systems, or large-scale transactional data systems. * Proficiency in Python , SQL , and TypeScript (or similar languages such as Go or Rust). * Experience working with APIs, RPC endpoints, webhooks, and blockchain data providers. * Strong ability to design resilient systems that handle inconsistent, missing, or conflicting data across sources. Preferred Qualifications * Experience with major blockchain ecosystems such as Ethereum, EVM-compatible chains, Bitcoin, Solana, Cosmos, Polygon, Base, Arbitrum, Optimism, or Avalanche. * Familiarity with DeFi protocols, bridges, custodians, centralized exchanges, and tokenized real-world assets. * Experience with graph databases, entity resolution, wallet clustering, or fraud detection systems. * Understanding of crypto accounting principles and financial treatment of blockchain transactions. First 90-Day Success Outcomes * Deliver a prioritized roadmap for blockchain chain coverage expansion. * Build reusable and scalable chain adapter architecture. * Establish a standardized transaction normalization schema across supported chains. * Improve accuracy of transaction classification and reconciliation systems. * Strengthen overall data reliability for institutional-grade reporting.

IS Population Health Data Engineer

Company Mission Statement: Our mission is to inspire and empower people to seek and maintain recovery and health. Daymark Recovery Services, Inc. is a mission driven, comprehensive community provider of culturally sensitive mental health and substance abuse services. Comprehensive Benefits Package: * Medical, Dental and Vision Insurance * Health Spending Account * Company-Paid Life Insurance * Short Term Disability * 401(k) * Paid Holidays * Paid Vacation and Sick Leave * Employee Assistant Program * Referral Bonus Opportunities * Extensive Internal Training Program Pay Scale: 48k-50k Summary: The IS Population Health Data Engineer is a vital member of the Information Systems team responsible for developing and maintaining data tools that support population health management, quality reporting, and value-based care initiatives. This position works in close collaboration with the agency’s Quality Improvement (QI) team, but focuses primarily on the technical and analytical side—building SQL queries, validating performance metrics, and developing reports that identify gaps in care and documentation. Using the NextGen Population Health platform (formerly EagleDream), the engineer translates clinical and regulatory quality measures into actionable logic and dashboards that help frontline staff and leadership monitor compliance and improve outcomes. In addition to data development, this role supports clinical and operational teams in designing workflows that resolve care gaps, improve documentation, and meet reporting standards such as UDS, HEDIS, and payer-based programs. The ideal candidate combines strong SQL and data modeling skills with an understanding of healthcare operations and a passion for transforming raw data into meaningful action. Essential Duties and Responsibilities: * Develop and validate SQL-based logic to support the calculation and tracking of clinical quality measures (e.g., UDS, HEDIS, CMS) within the population health platform * Collaborate with clinical teams to design workflows that improve provider compliance with quality measures and care gap resolution * Monitor and troubleshoot data pipelines feeding the population health platform, including resolving discrepancies between EHR and reporting output * Translate performance metrics into technical specifications for reporting and EHR prompts * Assist in the creation of dashboards, alerts, and patient lists to support proactive care outreach * Stay up to date with payer requirements and industry standards for quality reporting and interoperability (e.g., FHIR, NCQA) * Perform miscellaneous job-related duties as assigned Special Attributes: * Strong knowledge of clinical quality reporting standards and population health frameworks * Ability to analyze, interpret, and validate health data from diverse sources * Familiarity with electronic health record systems (NextGen preferred) * Strong SQL skills and comfort working in structured data environments Qualification Requirements: * Ability to interpret technical specifications for quality measures (e.g., UDS, HEDIS, MIPS) * Strong communication skills to collaborate with clinical, operational, and technical teams * Comfort with clinical workflows and aligning data tools to frontline care practices * Proficiency with relational databases and performance measure development Education and/or Experience: * Bachelor’s degree in Public Health, Data Science, Health Informatics, or a related field preferred * At least 2 years of experience in population health, EHR data reporting, or clinical analytics * Experience with SQL and healthcare quality reporting systems required * Experience with NextGen Population Health or similar platforms strongly preferred