Tesla is hiring students for a Winter/Spring 2027 Data Engineer Internship in Palo Alto, offering full-time on-site work, $40–$50 per hour and hands-on data experience.
Tesla is inviting applications for its Internship, Data Engineer, Fleet Analytics (Winter/Spring 2027) in Palo Alto, California. The internship is designed for actively enrolled students interested in data engineering, analytics, software development and large-scale data systems.
The internship is expected to begin around January 2027 and continue through the spring term, with a minimum commitment of 12 weeks at 40 hours per week.
Opportunity Overview
| Detail | Information |
|---|---|
| Company | Tesla |
| Programme | Data Engineer, Fleet Analytics Internship |
| Request ID | 283138 |
| Location | Palo Alto, California, USA |
| Start | Around January 2027 |
| Duration | Minimum 12 weeks |
| Work schedule | Full-time, 40 hours per week |
| Work arrangement | On-site |
| Expected graduation | 2027 or 2028 |
| Pay | $40–$50 per hour + benefits |
| Employment type | Intern/Apprentice |
What the Internship Involves
The Fleet Analytics team works with large volumes of real-world telemetry data from vehicles, Robotaxis, Superchargers, energy storage devices and Optimus robots.
Interns will work with engineers and technical stakeholders to turn complex data into useful insights, dashboards, datasets, applications and internal tools.
Tesla’s technology stack for this work includes Spark, Trino, Python, SQL, React, Jupyter and Airflow, together with other technologies needed for large-scale data work.
Key Responsibilities
The internship may involve:
- Turning business and engineering problems into analytical or technical scopes.
- Performing reproducible analysis on large-scale fleet data.
- Communicating assumptions, methods, limitations and findings.
- Building data pipelines and production datasets.
- Creating dashboards, applications and tools for engineering teams.
- Improving workflows for data discovery, analysis and debugging.
- Working with engineers to drive adoption of data tools and applications.
- Writing clean, tested and maintainable code.
Who Can Apply?
Applicants must be currently pursuing a degree in a technical field such as:
Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics or a related discipline.
Candidates should have an expected graduation date in 2027 or 2028 and must be able to work on site in Palo Alto, California.
Tesla is looking for students with strong programming skills, particularly in Python, Java, Scala or another general-purpose programming language, as well as experience working with data through coursework, research, internships or personal projects.
Strong communication, curiosity, ownership and the ability to work through ambiguity are also important.
Salary and Benefits
Tesla lists an expected compensation range of $40.00–$50.00 per hour, plus benefits.
Eligible full-time interns may receive benefits that include medical, dental and vision plans, retirement and financial benefits, paid holidays, sick and vacation time, commuter benefits, employee discounts and other support programmes, subject to applicable eligibility requirements.
Internship Requirements
Tesla states that internships are intended for students who are actively enrolled in an academic programme.
The position is expected to start around January 2027 and continue through the entire spring term, approximately until May 2027 or later if available. Interns must be available for at least 12 weeks, full-time and on-site.
Recent graduates who are no longer returning to school are directed to apply for full-time positions rather than internships.
Opportunities Feed Assessment
This internship is particularly relevant to students pursuing data engineering, data science, software engineering and analytics who want experience working with very large datasets and engineering systems.
The combination of production data pipelines, analytics, full-stack tools and real-world telemetry makes this a strong technical internship for students interested in data-intensive engineering environments.
The role is fully on-site in Palo Alto, so applicants should consider the location and full-time schedule before applying.
Application Deadline
The supplied Tesla vacancy does not provide a specific closing date.
Students should apply while the vacancy remains active, particularly because Tesla internships can depend on business and hiring needs.
How to Apply
Applications should be submitted through Tesla’s official Careers website.
Apply for the Tesla Data Engineer, Fleet Analytics Internship 2027
Frequently Asked Questions
What is the Tesla Data Engineer Fleet Analytics Internship?
It is a technical internship focused on large-scale fleet data, analytics, data pipelines and engineering tools within Tesla’s Fleet Analytics team.
Where is the internship located?
The internship is based in Palo Alto, California.
When does the internship start?
The role is expected to start around January 2027.
How long is the internship?
Tesla requires a minimum commitment of 12 weeks, with the internship continuing through the spring term.
Is the internship full-time?
Yes. Interns must be available for 40 hours per week.
Is the internship remote?
No. The position requires interns to work on site in Palo Alto.
What degree do I need?
Relevant fields include Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics and related technical disciplines.
When should I graduate?
Applicants should have an expected graduation date in 2027 or 2028.
How much does Tesla pay interns in this role?
The listed expected compensation is $40–$50 per hour, plus benefits.
Can recent graduates apply?
The source states that Tesla’s internship programme is for actively enrolled students. Recent graduates who are not returning to school should apply for full-time positions instead.
Disclaimer
Opportunities Feed is sharing this opportunity for informational and career purposes. We are not affiliated with Tesla and do not recruit applicants on its behalf. Applicants should verify the latest requirements, compensation, schedule and vacancy status on the official Tesla Careers website before applying.
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