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# Data Engineer - Battery Technology

- **Company:** STEALTH MODE COMPANY
- **Location:** Santa Clara, CA, United States
- **Experience:** Expert
- **Salary:** $140,000.0 - $185,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Dataspaces, Web Development, Python (Programming Language), Network Planning and Design, SQL Databases, Test Data, Git, Software Version Control, Data Pipelines
- **Published:** October 20, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=9b319eaa327781ef

## About the Role

* Masters degree in Data Science or Engineering (Materials, Chemical, Electrical, etc.).
 * 6-8 years of direct work experience with building and/or improving database systems for production tracking.
 * Fluent in Python
 * Direct experience with SQL databases and SQL query writing.
 * Direct experience with building web applications.
 * Familiar with version control software such as Git.
 * Strong independent worker.

## Description

As our first Data Engineer on our data team, this role is better suited for someone senior level. In this role, you will get to architect and implement our data ecosystem and our strategy and system planning. You will work closely with our battery cell R&D team and maintain and improve the company's database that tracks battery materials and components through active materials synthesis, mixing and coating, cell assembly and cell testing. You will build new data analysis and visualization tools and build data pipelines that automatically generate visualizations and reports of cell test data from cycle aging and reference performance tests.

What you'll get to do: The following responsibilities include, but are not limited to:

 * Design and implement the data ecosystem to drive production and technology development.
 * Operate, maintain, troubleshoot and improve raw-materials-to-cell tracking system.
 * Build new data analysis and visualization tools for battery cell cycle aging and reference performance tests.
 * Integrate new and existing data analysis tools into automated data pipelines.
 * Implement and maintain version control for in-house data analysis tools.