Data Engineer Iii Jobs

4 open positions found · Salary range: $22,000 - $160,000

View Software Engineer III, Data Engineering Console
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Software Engineer III, Data Engineering Console

GoogleZurich, Zurich, Switzerlandonsite

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 .

3 months agovia universal intelligenceApply ›
View Software Engineer III - Big Data
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Software Engineer III - Big Data

Sightview SoftwareTampa, FL, US

$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

3 months agovia universal intelligenceApply ›
View Software Engineer III - Big Data
S

Software Engineer III - Big Data

Sightview SoftwareTampa, FL, US

$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

3 months agovia universal intelligenceApply ›

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