Internship, Data Engineer, Energy (Fall 2026)

What To ExpectConsider before submitting an application:This position is expected to start August 2026 and continue through the entire Fall term (i.e., through December) or into early Spring 2027, if available. We ask for a minimum of 12 weeks, full-time, for most 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.The Internship Recruiting Team is driven by the passion to recognize and develop emerging talent. Our year-round program places the best students in positions where they will grow technically, professionally, and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows the intern to experience life at Tesla by including them in projects that are critical to their team’s success.What You'll DoApplicants may be reviewed by one or more of the following teams:Energy | Asset ManagementThe Energy Asset Management team is responsible for preparing data for analytical and operational uses across all energy products. The team builds and maintains data pipelines that consolidate data from different systems into a structured format that can be consumed by the team to build reports, dashboards and drive decisions.Deploy data pipelines that transforms data into structure output for analytics in a robust, efficient and scalable frameworkBuild tools and frameworks to help users summarize and explore the dataAutomate reporting and data quality checksProvide ongoing support for deployed pipelinesEnergy | Service Transformation & AnalyticsThe Energy Services Transformation & Analytics team is embedded in daily operations, supporting both near-term execution and long-term planning. Team members are expected to partner closely with the business to analyze technical data, provide recommendations, and lead cross-functional decision-making and implementation of the recommendations.Perform Advanced SQL queries on massive datasets to create analytics that provide insight to drive action using various SQL languages and Spark distributed infrastructureCreate and maintain analytics dashboards (using Tableau, PowerBi and similar tools)Create and maintain data ELT pipelines using Python and Airflow schedulingUse Git and Jira for workflow trackingEnergy | Service Engineering Data Analytics and Infrastructure, Query OptimizationThe Tesla Energy Service Engineering Data Analytics and Infrastructure team is responsible for leveraging the vast amount of data from the Energy fleet to ensure the best customer experience and fleet availability across the entire Tesla Energy portfolio; Industrial, Residential, Supercharger, and Solar. In this internship you will have a mandate to identify and improve the underlying algorithms and infrastructure supporting the entire Energy organization.Optimize and undertake advanced SQL queries on massive datasets to create analytics that provide insight to drive action using various SQL languages and Spark distributed infrastructureCreate and maintain analytics dashboards (using Tableau and similar tools)Create and maintain data ELT pipelines using Airflow schedulingUse Git and Jira for workflow trackingEnergy | Product EngineerTesla Energy Products Service Engineering and Fleet Analytic team utilize fleet data and engineering fundamentals to monitor product performance, and root cause design, process, or firmware failures in our fleet of renewable energy hardwareThe person in this role would play a central role in ensuring we have the highest quality products for our customers. This person will work with a cross-functional team of engineers to define and track product KPIs, troubleshoot and diagnose device issues, deploy necessary corrective actions ranging from firmware changes, hardware design changes, manufacturing process or installation process changes, etc.What You'll BringCurrently pursuing a Bachelor’s Degree in Computer Science, Computer Engineering or equivalent in experienceStrong knowledge of SQL and PythonDemonstrated experience building data pipelines using AirflowWorking knowledge of Spark and big data processingExperience with Git or other source control softwareScala experience is a plusBenefitsCompensation and BenefitsAs 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 programExpected Compensation$25.00 - $50.00/hour + 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., Tesla