Data & Analytics Engineer

• 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.

Application Programming Interface (API), Architectural Analysis, Battery Engineering, Build Management, Calibration, Data Analysis, Data Management, Data Modeling, Data Processing, Data Quality, Data Sets, Documentation, Government, Hospital, Manufacturing, Manufacturing Automation, Manufacturing Automation Software, Manufacturing Equipment, Manufacturing Systems, Manufacturing/Industrial Processes, Manufacturing/Production Testing, Metadata, Metrics, Performance Testing, Printed Circuit Board Assembly (PCBA), Process Improvement, Product Testing, Production Systems, Regulations, Reporting Dashboards, Scalable System Development, Software Engineering, Software Testing, Standards Development, System Validation, Systems Engineering, Test Data, Test Plan/Schedule, Test Tools, Testing, Traceability, Trend Analysis, United States Citizen, Validation Testing, Workflow Analysis

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., Amazon.com Inc At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

It’s Always Day 1 At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day - to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

Our Leadership Principles Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

Company Size: 10,000 employees or more

Industry: Retail