Test Data Operations Engineer

Premier Staffing Solution • Tustin, CA

6h

About The Position

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.

Requirements

• Bachelor's degree in Mechanical Engineering, Automotive Engineering, Data Science, or a related technical field.
• You believe that data is only useful if it's understandable and accessible
• Strong interpersonal skills to navigate a matrixed environment and the ability to explain technical concepts to non-engineers.
• Foundational knowledge of SQL for data extraction.
• Exposure to or a deep interest in Agentic AI tools
• Experience with (or ability to quickly learn) automotive communication tools like CANalyzer.
• Curious mindset: You aren't afraid to get your hands dirty in the lab to understand why a data point looks "off."

Nice To Haves

• Familiarity with CANalyzer or similar tools is a plus.

Responsibilities

• Support physical benchmarking and durability tests as needed, ensuring instrumentation is correctly configured.
• 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.
• 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.
• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level