Jobs at Tesla

Internship, Data Engineer, Energy (Summer 2025)

at Tesla • Internship

Location

in-office (Austin, United States / Palo Alto, United States)

Duration

3 months

Must have skills

Good to have skills

About this Opportunity

What to Expect

Consider before submitting an application:  

This position is expected to start May 2025 and continue through the entire Summer term (i.e. through August/September 2025) or into Fall 2025 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. 

Locations: Palo Alto, CA or Austin, TX

What You’ll Do

Applicants may be reviewed by one or more of the following teams:

Energy | Autobidder

The mission of the Autobidder team is to accelerate the world's transition to sustainable energy by maximizing the value of storage and renewable assets. We achieve this by building state-of-the-art software products for monetizing front-of-the-meter and behind-the-meter energy storage systems. Our flagship product, Autobidder, is an end-to-end automation suite for wholesale electricity market participation of grid-connected batteries and renewable resources that maximize revenues by optimally bidding in all available revenue streams in these markets. We are a multidisciplinary algorithmic trading team with expertise in machine learning, numerical optimization, software engineering, distributed systems, electricity markets, and trading. We have a proven track record of operating storage assets and delivering high revenues in both utility-scale and Virtual Power Plant (VPP) settings. Our products currently manage over 7GWh of energy storage worldwide and have returned over $420 million in trading profits, and we're slated for rapid growth on the horizon.


Energy | Asset Management

The Energy Asset Management team is responsible for preparing data for analytical and operational uses across all of 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 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 perform advanced SQL queries on large-scale datasets across various SQL dialects, leveraging Spark/Trino for distributed computing and actionable analytics.

  • Apply outlier detection and unsupervised learning techniques to uncover patterns and anomalies.

  • Develop high-performance data processing jobs with advanced Python skills, leveraging PySpark for optimized, scalable solutions.

  • Build and maintain data ELT pipelines through Airflow scheduling to ensure efficient data flow.

  • Use Git for version control and Jira for workflow management and 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 in our fleet of renewable energy hardware

  • The 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 Bring

  • 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

Compensation and Benefits

Benefits

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

Tesla is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to any factor, including veteran status and disability status, protected by applicable federal, state or local laws.

Tesla is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process.

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