Sr. Data & Analytics Engineer, Amazon Leo

Amazon Leo is Amazons 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 Amazons 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 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
- Bachelors 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.

- Bachelors degree in computer science or equivalent
- Masters degree or above in computer science engineering mathematics or equivalent or Masters 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 for more information. If the country/region youre applying in isnt 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 WA Redmond - 168100.00 - 227400.00 USD annually