Race Data Acquisition Engineer

Also called: Data Engineer (Motorsports)

Analyzes sensor and telemetry data from race cars after each session for a racing team, finding where the driver loses time and suggesting setup changes.

A day in the life

A race data engineer studies sensor data from the car after every practice, finds where the driver is losing time, and suggests setup changes. Race weekends are packed with analysis.

Pay over a career

Starting
$65k
Typical
$95k
High
$150k

Approximate.

Approximate: anchored on Bureau of Labor Statistics data for a broader job group.

Training

Bachelor's degree (4-year), about 4 years after high school. A bachelor's in mechanical engineering, ideally with Formula SAE or racing team experience during college.

Ways in: 4-year college. Training cost: $15k – $60k.

Majors to look at: Mechanical Engineering.

Outlook

Growing about average. Steady.

Will it last? Our AI estimate

Medium risk for 10 years. Software and AI automate data analysis; setup decisions and sensor installs stay human.

Start now, in high school

Classes: AP Physics, AP Computer Science A, AP Statistics.

Official data: O*NET occupation 17-2141.

More Racing: Motorsports & Equestrian careers

Career Universe is an early version. Pay, training and AI-risk figures are estimates to start your own research, not verified facts. The research was written with AI research assistants, checked by validation scripts and spot-checked by hand. Check anything important with schools, employers and official sources. How the numbers work.