Data Engineer Intern

What to Expect

Consider before submitting an application:  
This position is expected to start around 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. 

About the Team 

Battery Cells are the common denominator for every Tesla product. Our product requirements demand ground-up cell architectures with state-of-the-art performance, manufactured at volumes that are orders of magnitude higher than the products they power. Our environment is fast-paced and incredibly exciting. Tesla moves quickly, so being passionate and self-motivated to push your limits is critical. Our team works alongside engineering groups across various disciplines, requiring strong communication skills and a team-first mentality. You will work alongside seasoned industry experts, high aptitude recent graduates, and people from every stage in between.

We are seeking a highly motivated quality person to help continuously drive improvements to 4680 quality by gathering and utilizing data from downstream customers as well as the fleet of 4680 products. This person will track all opportunities to improve quality and drive those improvements to the product and process. They will also work with fleet analytics to build and maintain a model for product warranty and relative failure modes. This person is seasoned in manufacturing quality or reliability engineering for high reliability applications such as Li-ion cells, medical or a similar field with several years’ experience.
 

What You’ll Do

• Collaborate with cross-functional software and data teams to design LLM-powered tools that enhance problem-solving efficiency
• Analyze and interpret high volume manufacturing data from various sources and assembly operations to extract useful statistics and insights about the operation
• Work effectively with engineers and conduct end-to-end analyses, from data requirement gathering, to data processing and modeling
• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Monitor key product metrics, understanding root causes of changes in metrics
• Identify, analyze, and interpret trends or patterns in complex data sets and depict the story via dashboards and reports
• Create and maintain standardized reporting tools for the operation, providing results on the health of the business for various audiences, including senior management
• 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
• Perform data quality validations to ensure data creation
• Proactively identify improvement opportunities (potential gaps between process and system) across all business functions, developing tools that allow for visibility into process bottlenecks and inconsistencies
• Work closely with controls, process, and quality engineers to develop and improve data collection activities and reporting tools within a high volume manufacturing environment
• Work with management to prioritize business and information needs

What You’ll Bring

• Degree in quantitative discipline (e.g. Computer Science, Computer Engineering, Business Analytics, Mathematics, Physics, Engineering, Statistics) or the equivalent in experience and evidence of exceptional ability
• Python Programming: Strong proficiency in Python for agent development, data processing, and system integration
• Machine Learning & AI: Familiarity with LLMs, prompt engineering, and AI agent architectures and popular frameworks
• Database Experience: Working knowledge of SQL databases and vector databases. Understanding of vector database principles and semantic search
• Data Integration: Experience connecting to data sources (e.g., APIs, databases)
• Version Control: Proficiency with Git and collaborative development workflows
• A passion and curiosity for data, machine learning and data-driven decision making
• Be a team player and have the ability to collaborate well across diverse functional groups
• Strong verbal and written communication skills to manage and communicate the health and integrity of the data and systems

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.

For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here). Please contact accommodationrequest@tesla.com for additional information or to request accommodations.

Privacy is a top priority for Tesla. We build it into our products and view it as an essential part of our business. To understand more about the data we collect and process as part of your application, please view our Tesla Talent Privacy Notice .