Amazon·E-commerce·4 days ago
4 days ago
Sr. Data & Analytics Engineer, Amazon Leo
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What you'll do
- Architect and maintain scalable data pipelines and platforms for battery test, manufacturing, laboratory, and production systems.
- Build unified data models connecting cells, PCBAs, battery packs, test results, manufacturing processes, equipment, configurations, and quality records.
- Establish end-to-end product and test traceability across serial numbers, cell lots, hardware and software revisions, test procedures, equipment, calibration status, and nonconformance data.
- Develop automated data ingestion, transformation, validation, and processing from test systems, manufacturing equipment, databases, APIs, and engineering files.
- Build engineering analytics, dashboards, and tools for test performance, lifecycle data, FPY, SPC, production trends, equipment performance, and failure investigations.
- Develop automated data-analysis and reporting workflows that convert raw test data into engineering metrics, pass/fail results, trends, and actionable insights.
- Establish data quality, lineage, metadata, and schema standards to ensure engineering data is accurate, reproducible, and trustworthy.
- Develop reusable APIs, libraries, datasets, and applications that allow engineering teams to efficiently access and analyze battery data.
- Partner with Battery Test, Systems, Manufacturing Automation, ATE Software, Quality, Reliability, Manufacturing, and Production teams to translate engineering needs into scalable data and analytics solutions.
- Drive technical architecture, analytics standards, tool development, documentation, and long-term battery data strategy.
What they're looking for
- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields
- Experience developing scalable data pipelines, databases, data models, APIs, or engineering data platforms.
- Strong programming experience with Python or another modern programming language and strong SQL skills.
- Experience developing data-analysis, visualization, or engineering applications using large or complex datasets.
- Experience with ETL/ELT pipelines, data validation, schema design, and integration of multiple data sources.
- Experience translating engineering or customer requirements into scalable software, data, or analytics solutions.
Nice to have
- Bachelor's degree in computer science or equivalent
- Master's degree or above in computer science, engineering, mathematics or equivalent, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience working with hardware development, automated test, manufacturing, aerospace, automotive, semiconductor, battery, or other complex engineering environments.
- Experience analyzing high-volume or time-series data from test equipment, sensors, instrumentation, or manufacturing systems.
- Experience developing engineering dashboards, automated reports, statistical analysis tools, or data-driven applications.
- Experience integrating data with MES, manufacturing traceability, quality management, laboratory, or equipment-monitoring systems.
- Experience with AWS data technologies, APIs, streaming architectures, data lineage, metadata management, or schema versioning.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Amazon Leo is Amazon's low Earth orbit satellite network. Our mission is to deliver fast, reliable internet connectivity to customers beyond the reach of existing networks. From individual households to schools, hospitals, businesses, and government agencies, Amazon Leo will serve people and organizations operating in locations without reliable connectivity.
The Amazon LEO Battery organization develops and validates advanced battery systems that power Amazon’s Low Earth Orbit satellite constellation. Our team works across battery engineering, test and validation, manufacturing, automation, systems engineering, quality, reliability, software, and production operations.
As a Senior Data & Analytics Engineer, you will own the data infrastructure, analytics, and engineering tools that connect battery development, test, manufacturing, and production data. You will enable end-to-end traceability, automate data processing and reporting, and develop scalable tools that help engineers understand product performance, identify failures and trends, improve processes, and make faster technical decisions.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Architect and maintain scalable data pipelines and platforms for battery test, manufacturing, laboratory, and production systems.
- Build unified data models connecting cells, PCBAs, battery packs, test results, manufacturing processes, equipment, configurations, and quality records.
- Establish end-to-end product and test traceability across serial numbers, cell lots, hardware and software revisions, test procedures, equipment, calibration status, and nonconformance data.
- Develop automated data ingestion, transformation, validation, and processing from test systems, manufacturing equipment, databases, APIs, and engineering files.
- Build engineering analytics, dashboards, and tools for test performance, lifecycle data, FPY, SPC, production trends, equipment performance, and failure investigations.
- Develop automated data-analysis and reporting workflows that convert raw test data into engineering metrics, pass/fail results, trends, and actionable insights.
- Establish data quality, lineage, metadata, and schema standards to ensure engineering data is accurate, reproducible, and trustworthy.
- Develop reusable APIs, libraries, datasets, and applications that allow engineering teams to efficiently access and analyze battery data.
- Partner with Battery Test, Systems, Manufacturing Automation, ATE Software, Quality, Reliability, Manufacturing, and Production teams to translate engineering needs into scalable data and analytics solutions.
- Drive technical architecture, analytics standards, tool development, documentation, and long-term battery data strategy.
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields
- Experience developing scalable data pipelines, databases, data models, APIs, or engineering data platforms.
- Strong programming experience with Python or another modern programming language and strong SQL skills.
- Experience developing data-analysis, visualization, or engineering applications using large or complex datasets.
- Experience with ETL/ELT pipelines, data validation, schema design, and integration of multiple data sources.
- Experience translating engineering or customer requirements into scalable software, data, or analytics solutions.
- Master's degree or above in computer science, engineering, mathematics or equivalent, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience working with hardware development, automated test, manufacturing, aerospace, automotive, semiconductor, battery, or other complex engineering environments.
- Experience analyzing high-volume or time-series data from test equipment, sensors, instrumentation, or manufacturing systems.
- Experience developing engineering dashboards, automated reports, statistical analysis tools, or data-driven applications.
- Experience integrating data with MES, manufacturing traceability, quality management, laboratory, or equipment-monitoring systems.
- Experience with AWS data technologies, APIs, streaming architectures, data lineage, metadata management, or schema versioning.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually
The Amazon LEO Battery organization develops and validates advanced battery systems that power Amazon’s Low Earth Orbit satellite constellation. Our team works across battery engineering, test and validation, manufacturing, automation, systems engineering, quality, reliability, software, and production operations.
As a Senior Data & Analytics Engineer, you will own the data infrastructure, analytics, and engineering tools that connect battery development, test, manufacturing, and production data. You will enable end-to-end traceability, automate data processing and reporting, and develop scalable tools that help engineers understand product performance, identify failures and trends, improve processes, and make faster technical decisions.
Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
- Architect and maintain scalable data pipelines and platforms for battery test, manufacturing, laboratory, and production systems.
- Build unified data models connecting cells, PCBAs, battery packs, test results, manufacturing processes, equipment, configurations, and quality records.
- Establish end-to-end product and test traceability across serial numbers, cell lots, hardware and software revisions, test procedures, equipment, calibration status, and nonconformance data.
- Develop automated data ingestion, transformation, validation, and processing from test systems, manufacturing equipment, databases, APIs, and engineering files.
- Build engineering analytics, dashboards, and tools for test performance, lifecycle data, FPY, SPC, production trends, equipment performance, and failure investigations.
- Develop automated data-analysis and reporting workflows that convert raw test data into engineering metrics, pass/fail results, trends, and actionable insights.
- Establish data quality, lineage, metadata, and schema standards to ensure engineering data is accurate, reproducible, and trustworthy.
- Develop reusable APIs, libraries, datasets, and applications that allow engineering teams to efficiently access and analyze battery data.
- Partner with Battery Test, Systems, Manufacturing Automation, ATE Software, Quality, Reliability, Manufacturing, and Production teams to translate engineering needs into scalable data and analytics solutions.
- Drive technical architecture, analytics standards, tool development, documentation, and long-term battery data strategy.
Basic Qualifications
- 5+ years of non-internship professional software development experience- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team
- Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or majors relating to these fields
- Experience developing scalable data pipelines, databases, data models, APIs, or engineering data platforms.
- Strong programming experience with Python or another modern programming language and strong SQL skills.
- Experience developing data-analysis, visualization, or engineering applications using large or complex datasets.
- Experience with ETL/ELT pipelines, data validation, schema design, and integration of multiple data sources.
- Experience translating engineering or customer requirements into scalable software, data, or analytics solutions.
Preferred Qualifications
- Bachelor's degree in computer science or equivalent- Master's degree or above in computer science, engineering, mathematics or equivalent, or Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent
- Experience working with hardware development, automated test, manufacturing, aerospace, automotive, semiconductor, battery, or other complex engineering environments.
- Experience analyzing high-volume or time-series data from test equipment, sensors, instrumentation, or manufacturing systems.
- Experience developing engineering dashboards, automated reports, statistical analysis tools, or data-driven applications.
- Experience integrating data with MES, manufacturing traceability, quality management, laboratory, or equipment-monitoring systems.
- Experience with AWS data technologies, APIs, streaming architectures, data lineage, metadata management, or schema versioning.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.
USA, WA, Redmond - 168,100.00 - 227,400.00 USD annually
E-commerce
Company
AmazonE-commerce
Redmond, United States of America
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