Internship, Data Engineer, Energy (Fall 2025)

Consider before submitting an application:

This position is expected to start August 2025 and continue through the entire Fall term (i.e. through December 2025) or into Spring 2026 if available. We ask for a minimum of 12 weeks, full-time and on-site, 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.

Energy | Asset Management

TheEnergy 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 framework
• Build tools and frameworks to help users summarize and explore the data
• Automate reporting and data quality checks
• Provide ongoing support for deployed pipelines

Energy | Service Transformation & Analytics

The 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 infrastructure
• Create and maintain analytics dashboards (using Tableau, PowerBi and similar tools)
• Create and maintain data ELT pipelines using Python and Airflow scheduling
• Use Git and Jira for workflow tracking

Energy | Service Engineering Data Analytics and Infrastructure, Query Optimization

The Tesla Energy Service Engineering Data Analytics and Infrastructure team is responsible for leveraging the vastamount of data from the Energy fleet to ensure the best customer experience and fleet availability across the entireTesla Energy portfolio; Industrial, Residential, Supercharger, and Solar. In this internship you will have a mandate toidentify and improve the underlying algorithms and infrastructure supporting the entire Energy organization.

• Optimizeand undertake advanced SQL queries on massive datasets to create analytics that provide insightto drive action using various SQL languages and Spark distributed infrastructure
• Createand maintain analytics dashboards (using Tableau and similar tools)
• Createand maintain data ELT pipelines using Airflow scheduling
• UseGit and Jira for workflow tracking

Energy | Product Engineer

• Tesla 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 inour fleet of renewable energy hardware.
• The person in this role would play a central role in ensuring wehave 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 firmwarechanges, hardware design changes, manufacturing process or installation process changes, etc.

• Bachelor's Degree in Computer Science, Computer Engineering or equivalent in experience
• Strong knowledge of SQL and Python
• Demonstrated experience building data pipelines using Airflow
• Working knowledge of Spark and big data processing
• Experience with Git or other source control software
• Scala experience is a plus

As a full-time Tesla Intern, you will be eligible for:

• Aetna PPO and HSA plans > 2 medical 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
• Employee Assistance Program
• Sick time after 90 days of employment 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

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.