Internship, Data Engineer, Fleet Analytics (Summer 2026)

Consider before submitting an application

This position is expected to start May 2026 and continue through summer term ending approximately August 2026 or later if available. We ask for a minimum of 12 weeks full-time 40 hours/week and on-site for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions not internships.

International Students If your work authorization is through CPT please consult your school on your ability to work 40 hours per week before applying. You must be able to work 40 hours per week on-site. Many students will be limited to part-time during the academic year.

About the Team

Data is deeply embedded in the product and engineering culture at Tesla. We rely on data - lots of it - to improve autopilot, optimize hardware designs to proactively detect faults and optimize load on the electrical grid. We collect data from each of our cars, Superchargers, and energy storage devices to make these products better and our customers safer.

The Fleet Analytics team is a central team that helps many teams leverage the data we collect. We help engineers through direct support by doing data analysis for them and through applications and tools so they can self-serve those analyses in the future. To do so, we leverage our internal data platform built on top of AWS S3, Spark, Trino, using open-sourced data science tools such as Jupyter notebooks, Pandas, Bokeh, Superset, and Airflow.

Our work has a direct impact on Teslas product and enables the work of hundreds of engineers across disciplines throughout the company.

Responsibilities

• Work with stakeholders to take a vague problem statement, refine the scope of the analysis, and use the results to drive informed decisions
• Write reproducible data analysis over petabytes of data using cutting-edge open-source technologies
• Summarize and clearly communicate data analysis assumptions and results
• Build data pipelines to promote your ad-hoc data analyses into production dashboards that engineers can rely on
• Design and implement metrics, applications, and tools that will enable engineers by allowing them to self-serve their data insights
• Work with engineers to drive usage of your applications and tools
• Write clean and tested code that can be maintained and extended by other software engineers

Requirements

• Pursuing a degree in Computer Science, Data Science, or related field and graduating in 2026-2027
• Able to work on-site in Palo Alto, CA
• Strong proficiency in Python, SQL
• Able to understand electrical systems
• Strong foundation in statistics
• Experience building data visualizations
• Experience writing software in a professional environment
• Experience with data science tools such as Pandas, NumPy, R, Matlab, Octave (a plus)
• Experience building data pipelines and web applications (nice to have)

Benefits

• As a full-time Tesla Intern, you will be eligible for: • Medical plans > plan options with 0 payroll deduction • Family-building fertility adoption and surrogacy benefits • Dental including orthodontic coverage and vision plans. Both have an option with a 0 payroll contribution • Company Paid Health Savings Account (HSA) Contribution when enrolled in the High Deductible Medical Plan with HSA • Healthcare and Dependent Care Flexible Spending Accounts (FSA) • 401k Employee Stock Purchase Plans and other financial benefits • Company Paid Basic Life AD&D and short-term disability insurance (90 day waiting period) • Employee Assistance Program • Sick and Vacation time • Flex time for salary 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 • Commuter benefits • Employee discounts and perks program

Expected Compensation

• 40.00 - 50.00 benefits
• Pay 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.