Senior Data & Analytics Engineer - Battery Data Platforms

Amazon; Redmond (WA); On-site; USD 168,000 - 227,000; Full time

Job summary

Amazon Leo Battery division seeks a Senior Data & Analytics Engineer to own data infrastructure connecting battery development, test, manufacturing and production data. You will enable end-to-end traceability, automate data processing, and build scalable tools for engineers to analyze performance and trends.

You will collaborate with multiple teams to translate engineering needs into data solutions, establishing quality standards and reusable APIs for broad access to battery data.

Qualifications

• 5+ years of non-internship professional software development experience.
• 5+ years programming with at least one software programming language experience.
• 5+ years leading design or architecture of new and existing systems.
• 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 related 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.

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.

Skills

Software development

Programming experience

System design

Mentorship

Python

ETL pipelines

AWS

Education

Bachelor's degree in CS/EE/Data Science

Master's degree in CS/Engineering/Analytics

Tools

SQL

Python

AWS

Job description

Amazon Leo Battery division seeks a Senior Data & Analytics Engineer to own data infrastructure connecting battery development, test, manufacturing and production data. You will enable end-to-end traceability, automate data processing, and build scalable tools for engineers to analyze performance and trends.

You will collaborate with multiple teams to translate engineering needs into data solutions, establishing quality standards and reusable APIs for broad access to battery data.