> Markdown version of [/jobs/ext/3017179-data-analytics-engineer](https://www.wearedevelopers.com/jobs/ext/3017179-data-analytics-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Data & Analytics Engineer

- **Company:** Amazon.com, Inc.
- **Location:** Redmond, WA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Testing (Software), Application Programming Interfaces (APIs), Data Analysis, Systems Engineering, Databases, Data Files, Metadata, Systems Development Life Cycle, Software Engineering, Statistical Process Control (SPC), System Testing, Test Data, Data Processing, Performance Testing, Data Ingestion, Data Strategy, Build Management, Build Process, Data Management, Data Pipelines
- **Published:** September 20, 2026
- **Apply:** https://www.careerbuilder.com/job-details/sr-data-analytics-engineer-amazon-leo-redmond-wa--0907efa1-d14b-4d39-b4ba-888fab619b86

## About the Role

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

## Description

* 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.


## Related Videos

- [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering)
- [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata)
- [Kubernetes and Microservices with Multi-Model Databases](https://www.wearedevelopers.com/videos/382-kubernetes-and-microservices-with-multi-model-databases)
- [Dirty Tests And How To Clean Them](https://www.wearedevelopers.com/videos/515-dirty-tests-and-how-to-clean-them)
- [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros)
- [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology)

## Related Articles

- [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)
- [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story)
- [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)
- [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know)
- [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk)
- [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries)