Internship, Data Engineer, Fleet Analytics (Winter/Spring 2027)

Description

Consider before submitting an application: 

This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 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

Come join a small team of versatile engineers and data enthusiasts who sit at the center of Tesla’s device telemetry and turn the petabyte-scale real-world data firehose into actionable insights.  

Data powers Tesla’s product and engineering culture. We leverage massive volumes of real-world data to improve vehicle firmware reliability, optimize hardware designs, proactively detect faults, enhance robotics systems, and balance load on the electrical grid. We collect data from our vehicles, Robotaxis, Superchargers, energy storage devices, and Optimus robots and follow the full lifecycle of these products and their software — uncovering patterns and driving improvements that make our products better and our customers safer.  

Fleet Analytics is a central team that partners directly with firmware, hardware, robotics, autonomy, integration, automation, and other engineering teams. We help them through deep hands-on analysis and by building the production tools they rely on every day. We’re looking for someone who has repeatedly turned messy, high-volume data into dashboards, internal tools, interactive visualizations, and enable AI driven decision making easier.  

As builders, we transform high-value insights into robust full-stack web applications, software frameworks for efficient training and modeling, complex systems that drive action, and self-serve platforms so hundreds of engineers can move faster. You will own these applications from concept to production — including deployment, ongoing maintenance, community support, and on-call. Our stack runs on Spark, Trino with Python, SQL, React, Jupyter, Airflow (and whatever else gets the job done cleanly at petabyte scale).  

Responsibilities

• Work with stakeholders to turn vague problem statements into clear analytical or engineering scopes, then use the results to drive informed decisions
• Write reproducible data analyses over petabytes of fleet-scale data using modern open-source technologies
• Clearly communicate analysis assumptions, methodology, limitations, and results to technical audiences 
• Build data pipelines that promote high-value ad-hoc analyses into production datasets, dashboards, or applications that engineers can rely on
• Design and implement metrics, applications, and tools that help engineers and AI agents self-serve data insights
• Improve internal workflows for data discovery, analysis, debugging, onboarding, and operational support 
• Partner with engineers to drive adoption of the applications, datasets, and tools you build 
• Write clean, tested, maintainable code that can be extended by other engineers

Requirements

• Currently pursuing a degree in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics, or a related technical field, with expected graduation in 2027 or 2028 
  
• Able to work on site in Palo Alto, CA 
• Strong programming ability in Python, Java, Scala, or another general-purpose language
• Experience working with data through coursework, research, internships, or personal projects
• Ability to reason about technical systems and learn domain concepts quickly, including vehicle, electrical, or energy systems 
• Strong communication skills and the ability to explain technical work clearly
• Curiosity, ownership, and comfort working through ambiguity

Compensation and Benefits

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)
• 401(k), 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.