Internship, Data Engineer, Applications Engineering (Fall 2025)

Consider before applying: This position is expected to start around Aug/Sep and continue through Dec/Jan. Internships are in-person for 40 hours a week for a minimum of 12 weeks. Please consider before submitting an application.
International Students: If your work authorization is through CPT, please consult your school before applying. You must be able to work 40 hours per week. Many students will be limited to part-time depending on their academic standing.

The Internship Recruiting Team is driven by the passion to recognize emerging talent. Our year-round program places the best students in positions that they will grow both technically and personally through their experience working closely with their Manager, Mentor, and team. We are dedicated to providing an experience that allows for the intern to experience life at Tesla by giving them ownership over projects that are critical to their team's success.

About the Team
The Data Engineering team is building a state-of-the- art analytics platform for business and operation intelligence. At Tesla, we have enormous amounts of data and we want to give meaning to it and help business users to make data driven decisions. Our platform will allow users to answer "what", "when" and "how" questions as well as allow them to ask "what if?". Interns will help design, develop, maintain and support our Enterprise Data Warehouse & BI platform within Tesla. This position offers a unique opportunity to impact to the entire organization by developing data tools and creating a data driven culture.
Locations: Austin, TX; Bellevue, WA; Fremont, CA

Responsibilities

• Analyze data and extract useful statistics and insights to drive meaningful improvements to production quality and customer experience
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Interpret data and analyze results using statistical techniques to provide ongoing reports
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Acquire data from primary or secondary data sources and maintain databases/data systems to empower operational and exploratory analysis
• Drive underlying data systems improvement by working with key cross-functional stakeholders

Requirements

• Currently pursuing a degree in Computer Science, Information Technology or a related field of study and graduating between 2025-2026
• Proficiency in one or more of the following developer skills: Python, Java, Go, C/C++, Ruby, SQL or other common industry languages
• Familiarity with database concepts such as MySQL, MS SQL
• Nice to have: AirFlow, Splunk, Kafka, Spark
• Excellent grasp of fundamental computer science concepts and ability to write well-organized code
• Eagerness to collaborate cross-functionally with other engineering teams while able to work independently; detail-oriented and execution focused

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
Expected Compensation

$32.45 - $45.43 + 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.