We are looking for a high-energy, technically-minded Test Data Operations Engineer to bridge the gap between physical benchmarking and digital insights. In this role, you won't just be watching tests; you will influence how test data is captured, refined, and visualized. You will work directly with engineering teams to conduct automotive benchmarking, then leverage modern tools—including SQL and Agentic AI—to turn raw sensor data into actionable narratives for our cross-functional leadership.

This is an ideal role for a recent engineering graduate with a passion for data science and a "hands-on" hardware mindset.

Responsibilities

1. Test Execution & Refinement

• Support physical benchmarking and durability tests as needed, ensuring instrumentation is correctly configured (familiarity with CANalyzer or similar tools is a plus).
• Collaborate with test teams to refine procedures, ensuring that the data coming out of the lab is high-quality and "analysis-ready."
• Act as the feedback loop between the lab and the database, identifying gaps in current data collection methods.

2. Data Engineering & Visualization

• Own the end-to-end data pipeline: collect, store, and visualize test results using SQL, Python, Hex, and advanced dashboarding tools.
• Implement Agentic AI workflows to automate routine data cleaning, summarization, and trend detection.
• Integrate 3rd party industry data to provide competitive context for our internal benchmarking results.

3. Cross-Functional Storytelling

• Translate complex engineering metrics into easy-to-digest "data stories" for Engineering, and Manufacturing teams.
• Maintain a centralized data repository that ensures "one version of the truth" for all performance benchmarks.

Why This Role is Unique

Unlike traditional Test Engineer roles that end when the test is over, or Data Analyst roles that never see the hardware, this position gives you full-stack visibility. You will help generate the data, build the systems that house it, and influence the tools that analyze it.