Data Engineer, Fleet Data, Self-Driving

About the role

• Data Engineer, Fleet Data, Self-Driving | Tesla (Tesla SI)
• Location: Palo Alto, California | Req ID: 279540 | Job Type: Full-time
• What to Expect

Help power the future of Full Self-Driving by unlocking the immense potential of data from millions of Tesla vehicles worldwide.

On the Self-Driving Fleet Data team, you’ll work at the intersection of data engineering, analytics, and data science: building reliable pipelines and critical infrastructure for FSD model evaluation and improvements. This role owns critical data pipelines that feed landmark projects like the Full Self-Driving Vehicle Safety Report and surfaces the most valuable real-world scenarios from the fleet for training and evaluation. It builds the data foundation for setting priorities, measuring progress, and curating diverse datasets, work that has tangible impact on making scalable autonomy a reality.

What You'll Do

• Design and maintain data platforms that make it easy for teams across the org to discover, query, and explore fleet data
• Design and implement data pipelines from ingestion to visualization to unlock the full potential of Tesla’s fleet data by sourcing, transforming, and serving new datasets
• Define and build metrics that measure Self-Driving performance and specific driving events, then turn them into insights that drive decisions
• Monitor and maintain infrastructure health with robust alerting, logging, and automation for scale and reliability
• Build automation, developer tools, internal libraries, and agentic tools that accelerate analysis and visualization across the company
• Manage inflow rate of fleet data to ensure consumers have a high volume of diverse data
• Iterate with SI (Super Intelligence) engineering partners on effectiveness of new datasets
• Deliver world class, interactive visualizations and tooling that turns complex data into actionable insights

What You'll Bring

• Bachelor's Degree in Computer Science, Engineering, Physics, Math, proof of exceptional skills in related field, or equivalent experience
• Proficient in Python and SQL with experience building data models, performant queries, and ETLs at scale (e.g. PostgreSQL, Clickhouse, Pyspark, Dagster)
• Experience across the data lifecycle including sourcing, ingestion, transformation, analytics, and visualization
• Ability to own projects end-to-end from defining the right data to collect, building robust pipelines, to delivering actionable metrics and tooling
• Ability to thrive in a rapidly changing environment with high ambiguity; self-starter mentality
• Passion for the future of transportation and AI technologies

Benefits

Along with competitive pay, as a full-time Tesla employee, you are eligible for the following benefits at day 1 of hire:

• Medical plans > plan options with $0 payroll deduction
• Family-building, fertility, adoption and surrogacy benefits
• Dental (including orthodontic coverage) and vision plans, both have options with a $0 paycheck contribution
• Company Paid (Health Savings Accounts) HSA Contribution when enrolled in the High-Deductible medical plan with HSA
• Healthcare and Dependent Care Flexible Spending Accounts (FSA)
• 401(k) with employer match, Employee Stock Purchase Plans, and other financial benefits
• Company paid Basic Life, AD&D
• Short-term and long-term disability insurance (90 day waiting period)
• Employee Assistance Program
• Sick and Vacation time (Flex time for salary positions, Accrued hours for Hourly positions), and Paid Holidays
• Back-up childcare and parenting support resources
• Voluntary benefits to include: critical illness, hospital indemnity, accident insurance, theft & legal services, and pet insurance
• Weight Loss and Tobacco Cessation Programs
• Tesla Babies program
• Commuter benefits
• Employee discounts and perks program
• Earned Wage Access: Real-time pay access paid daily, subject to eligibility and schedule (applicable for below Sr. Managers levels)

Expected Compensation$140,000 - $300,000/annual salary + cash and stock awards + benefitsPay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The total compensation package for this position may also include other elements dependent on the position offered. Details of participation in these benefit plans will be provided if an employee receives an offer of employment.