Data Engineer

Job description

Ten-Nine creates new materials for new economies. Our proprietary nano-additive, TENIX®, dramatically improves the function of cathodes - the primary driver of battery cost, performance, and greenhouse gas emissions. It’s a simple powder, produced sustainably and domestically, that can be integrated into manufacturing lines for all kinds of batteries, from single-use primary cells to rechargeable EV packs.

Role Overview

The Data Engineer will help build and maintain data infrastructure, analyze battery test and operational data, and work closely with R&D, manufacturing, and quality teams to drive improvements in battery optimization, processes, and performance. This role combines data-driven and AI methods with engineering expertise to model, predict, and optimize battery behavior under real-world conditions.

Key Responsibilities

• Design, build, and maintain data pipelines and data stores (test data, manufacturing data, sensor data, etc.).
• Clean, preprocess, and validate large datasets from battery cycling tests, diagnostics, environmental tests, and field usage.
• Develop machine learning and statistical models to predict metrics such as state-of-charge (SoC), state-of-health (SoH), degradation, thermal behavior, and safety events.
• Perform exploratory data analysis to identify patterns, anomalies, and correlations in battery performance.
• Collaborate with battery engineers, electrochemists, and manufacturing staff to define data requirements and design experiments.
• Implement monitoring tools, dashboards, and visualization to track battery health, production quality, and performance over time.
• Establish guidelines and best practices for data collection, versioning, quality assurance, and metadata management for battery datasets.
• Optimize data flows for computational efficiency and scalability, including high-frequency sensor data, large test datasets, and real-time streaming.
• Integrate battery system simulations and connect with physics-based models for predictive analysis.

Day-to-Day Responsibilities

Qualifications Required

Preferred

Seniority / Levels

This role is open to candidates at multiple levels of experience. Consideration will be given to both early-career and experienced professionals with the required skills and interest listed above.

Location

Tulsa, Oklahoma | Global Remote Consideration Available

Why Join Us