Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto. The Tesla Data Engineer, Fleet Analytics Internship 2027 is a paid Winter/Spring 2027 internship in Palo Alto, California, offering students the opportunity to work with petabyte-scale real-world data generated by Tesla vehicles, Robotaxis, Superchargers, energy-storage products and Optimus robots. The role pays an expected $40–$50 per hour plus benefits, requires full-time on-site work for at least 12 weeks, and is designed for students pursuing degrees in Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics or another related technical field.
The internship is expected to begin around:
JANUARY 2027
and continue through the:
SPRING TERM
ending approximately:
MAY 2027 OR LATER
where availability allows.
⚠️ Important Accuracy Note
The exact official role title is:
INTERNSHIP, DATA ENGINEER, FLEET ANALYTICS (WINTER/SPRING 2027)
with:
REQUISITION ID 283138.
The published expected compensation is:
$40.00–$50.00 PER HOUR + BENEFITS.
Tesla says actual pay can vary according to factors including:
- Market location
- Job-related knowledge
- Skills
- Experience.
This is also not a remote internship.
Tesla requires interns in this role to work:
40 HOURS PER WEEK
and:
ON-SITE IN PALO ALTO, CALIFORNIA.
The official vacancy currently does not publish a specific application deadline, so interested candidates should apply while the position remains active rather than assuming a future closing date.
📊 Tesla Data Engineer Fleet Analytics Internship 2027: Quick Overview
| Detail | Information |
|---|---|
| Employer | Tesla |
| Role | Internship, Data Engineer, Fleet Analytics |
| Term | Winter/Spring 2027 |
| Requisition ID | 283138 |
| Category | Engineering & Information Technology |
| Location | Palo Alto, California |
| Job Type | Intern / Apprentice |
| Expected Start | Around January 2027 |
| Expected End | Approximately May 2027 or Later |
| Minimum Duration | 12 Weeks |
| Hours | 40 Hours Per Week |
| Work Model | On-Site |
| Pay | $40–$50 Per Hour + Benefits |
| Student Status | Must Be Actively Enrolled |
| Expected Graduation | 2027 or 2028 |
| Relevant Degrees | Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics or Related Technical Field |
| Programming | Python, Java, Scala or Similar |
| Core Data Stack | Spark, Trino, Python, SQL, React, Jupyter, Airflow |
| CPT Students | Must Confirm Ability to Work 40 Hours/Week |
| Application Deadline | Not Published on Current Official Vacancy |
| Application | Tesla Careers |
🚘 About Tesla Fleet Analytics
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
Tesla’s Fleet Analytics team sits at the centre of the company’s:
DEVICE TELEMETRY
and:
REAL-WORLD DATA ANALYSIS.
The team works with enormous volumes of information generated by Tesla products and converts that data into:
ACTIONABLE ENGINEERING INSIGHTS.
Tesla says its data comes from products including:
🚗 VEHICLES
🚕 ROBOTAXIS
⚡ SUPERCHARGERS
🔋 ENERGY STORAGE DEVICES
and:
🤖 OPTIMUS ROBOTS.
This makes the internship broader than a conventional business-intelligence placement.
The work supports engineers across:
AUTOMOTIVE
ENERGY
ROBOTICS
AI-ENABLED SYSTEMS
and:
INFRASTRUCTURE.
📈 What Does Fleet Analytics Do?
Tesla says Fleet Analytics uses real-world data to help:
IMPROVE VEHICLE FIRMWARE RELIABILITY
OPTIMIZE HARDWARE DESIGNS
PROACTIVELY DETECT FAULTS
IMPROVE ROBOTICS SYSTEMS
and:
BALANCE LOAD ON THE ELECTRICAL GRID.
The team follows products and their software throughout their lifecycle to identify:
PATTERNS
and:
AREAS FOR IMPROVEMENT.
🌐 A Central Engineering Team
Fleet Analytics works directly with several engineering organisations, including:
FIRMWARE
HARDWARE
ROBOTICS
AUTONOMY
INTEGRATION
and:
AUTOMATION.
Interns therefore need to be comfortable communicating with people from different technical backgrounds.
💾 Petabyte-Scale Data
One of the strongest technical features of this role is its scale.
Tesla explicitly describes the team as working with:
PETABYTE-SCALE REAL-WORLD DATA.
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
That means interns can gain exposure to data-engineering problems involving:
MASSIVE DATASETS
DISTRIBUTED COMPUTING
DATA PIPELINES
ANALYTICS SYSTEMS
and:
PRODUCTION TOOLS.
🛠️ What Will the Intern Do?
The role combines:
DATA ENGINEERING
ANALYSIS
SOFTWARE DEVELOPMENT
and:
ENGINEERING SUPPORT.
Tesla lists responsibilities across both analytical and production engineering work.
🔍 1. Turn Ambiguous Problems Into Clear Technical Work
The intern will work with stakeholders to take:
VAGUE PROBLEM STATEMENTS
and translate them into:
CLEAR ANALYTICAL
or:
ENGINEERING SCOPES.
This means candidates need more than coding ability.
They also need to understand:
WHAT QUESTION ACTUALLY NEEDS TO BE ANSWERED
and:
HOW DATA CAN SUPPORT A DECISION.
📊 2. Analyse Fleet-Scale Data
Interns will perform:
REPRODUCIBLE DATA ANALYSES
using petabytes of fleet data and modern:
OPEN-SOURCE TECHNOLOGIES.
Strong candidates should therefore be comfortable with:
LARGE DATASETS
QUERYING
STATISTICS
and:
REPRODUCIBLE ANALYSIS.
🧾 3. Explain Methodology and Limitations
Tesla expects interns to communicate:
ASSUMPTIONS
METHODOLOGY
LIMITATIONS
and:
RESULTS
clearly to technical audiences.
This is important because analytics work is useful only when engineers can understand:
HOW THE RESULT WAS PRODUCED
and:
HOW MUCH CONFIDENCE TO PLACE IN IT.
🔄 4. Build Production Data Pipelines
Another major responsibility is converting valuable one-off analyses into:
PRODUCTION DATASETS
DASHBOARDS
or:
APPLICATIONS.
This distinguishes the role from a pure data-analyst internship.
The successful candidate is expected to help move useful analytical work into:
RELIABLE ENGINEERING TOOLS.
📈 5. Build Metrics and Applications
The intern will help design and implement:
METRICS
APPLICATIONS
and:
TOOLS
that allow engineers and:
AI AGENTS
to access data insights more easily.
🤖 AI-Enabled Decision Making
Tesla specifically describes Fleet Analytics as building tools that make:
AI-DRIVEN DECISION MAKING EASIER.
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
This may involve building systems that allow human engineers and AI-based tools to work with:
STRUCTURED DATA
METRICS
and:
ACTIONABLE ANALYTICS.
🧭 6. Improve Internal Engineering Workflows
Interns may improve workflows related to:
DATA DISCOVERY
ANALYSIS
DEBUGGING
ONBOARDING
and:
OPERATIONAL SUPPORT.
The goal is to help hundreds of engineers:
FIND INFORMATION FASTER
and:
MAKE BETTER TECHNICAL DECISIONS.
🤝 7. Work Directly With Engineers
The role also involves partnering with engineers to encourage adoption of:
APPLICATIONS
DATASETS
and:
TOOLS
built by the Fleet Analytics team.
This makes communication and product thinking especially important.
💻 8. Write Production-Quality Code
Tesla wants interns who can write:
CLEAN
TESTED
and:
MAINTAINABLE CODE
that other engineers can extend.
🧰 Technologies Used by the Team
Tesla’s Fleet Analytics stack currently includes:
SPARK
TRINO
PYTHON
SQL
REACT
JUPYTER
and:
AIRFLOW.
Tesla also makes clear that the team is willing to use other technologies where they solve the problem effectively at:
PETABYTE SCALE.
🐍 Python
Python is especially relevant for:
DATA ANALYSIS
DATA ENGINEERING
AUTOMATION
and:
INTERNAL TOOLING.
Tesla accepts strong programming ability in:
PYTHON
JAVA
SCALA
or:
ANOTHER GENERAL-PURPOSE LANGUAGE.
🗃️ SQL
Because the position works heavily with structured fleet data, candidates should expect:
SQL
to be an important practical skill.
The current team stack explicitly includes SQL.
⚡ Spark
Apache Spark supports:
LARGE-SCALE DISTRIBUTED DATA PROCESSING
and is particularly relevant when dealing with:
PETABYTE-SCALE DATASETS.
Spark is part of the Fleet Analytics technology stack.
🔎 Trino
Trino is also part of the current stack and supports:
DISTRIBUTED SQL QUERYING
across large datasets.
🌬️ Airflow
Airflow is commonly used to:
ORCHESTRATE DATA PIPELINES
and:
SCHEDULE WORKFLOWS.
Tesla lists it among the technologies used by Fleet Analytics.
📓 Jupyter
Jupyter can support:
INTERACTIVE ANALYSIS
EXPERIMENTATION
and:
DATA EXPLORATION.
⚛️ React
Tesla also includes:
REACT
in the stack.
This reflects the fact that Fleet Analytics does not only build back-end data infrastructure.
The team also develops:
FULL-STACK APPLICATIONS
and:
INTERACTIVE TOOLS.
🎓 Who Can Apply?
Applicants must currently be pursuing a degree in:
💻 COMPUTER SCIENCE
📊 DATA SCIENCE
⚡ ELECTRICAL ENGINEERING
⚙️ MECHANICAL ENGINEERING
📈 STATISTICS
or:
A RELATED TECHNICAL FIELD.
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
📅 Expected Graduation
Candidates should expect to graduate in:
2027
or:
2028.
⚠️ Current Students Only
Tesla states that its internship programme is intended for students who are:
ACTIVELY ENROLLED IN AN ACADEMIC PROGRAMME.
Recent graduates who have finished school and are:
NOT RETURNING TO STUDY
should apply for:
FULL-TIME TESLA POSITIONS
instead of internships.
💻 Programming Requirement
Candidates need:
STRONG PROGRAMMING ABILITY.
Tesla specifically mentions:
PYTHON
JAVA
SCALA
or another:
GENERAL-PURPOSE LANGUAGE.
📊 Data Experience
Applicants should have experience working with data through one or more of:
COURSEWORK
RESEARCH
INTERNSHIPS
or:
PERSONAL PROJECTS.
This means prior professional data-engineering employment is:
NOT REQUIRED.
Strong academic or personal projects can also demonstrate relevant capability.
🧠 Systems Thinking
Tesla also wants candidates who can reason about:
TECHNICAL SYSTEMS
and learn domain-specific concepts quickly.
This could involve understanding:
VEHICLE SYSTEMS
ELECTRICAL SYSTEMS
or:
ENERGY SYSTEMS.
🗣️ Communication Skills
Applicants need strong communication skills and should be able to explain:
TECHNICAL WORK CLEARLY.
🔍 Curiosity
Tesla also lists:
CURIOSITY
as an important quality.
🚀 Ownership
Candidates should be comfortable:
TAKING OWNERSHIP
of problems and solutions.
🌫️ Comfort With Ambiguity
The team also wants people who are comfortable working through:
AMBIGUITY.
In practical terms, this means problems may not come with:
PERFECT REQUIREMENTS
or:
A PREDEFINED SOLUTION.
📍 Location
The internship is based in:
📍 PALO ALTO, CALIFORNIA, UNITED STATES.
🏢 Is the Internship Remote?
No.
Tesla requires:
ON-SITE WORK.
The intern must be able to work:
40 HOURS PER WEEK IN PALO ALTO.
⏱️ Minimum Internship Length
Tesla asks for a minimum commitment of:
12 WEEKS.
📅 When Does It Start?
The expected start is around:
JANUARY 2027.
📅 When Does It End?
The role is expected to continue through the full Spring academic term, ending approximately:
MAY 2027
or later if the intern remains available.
💰 Salary
Tesla publishes the expected compensation as:
$40.00–$50.00 PER HOUR + BENEFITS.
At:
40 HOURS PER WEEK
this translates roughly to:
| Hourly Rate | Approx. Weekly Gross Pay |
|---|---|
| $40/hour | $1,600/week |
| $45/hour | $1,800/week |
| $50/hour | $2,000/week |
These figures are simple gross-pay calculations and do not include:
TAX
DEDUCTIONS
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
or:
BENEFIT EFFECTS.
Tesla states that actual pay can vary according to individual factors.
🎁 Benefits
Tesla says full-time interns are eligible for a range of benefits.
These include:
🏥 Medical Plans
Some plan options have:
$0 PAYROLL DEDUCTION.
🦷 Dental Insurance
Including:
ORTHODONTIC COVERAGE.
👓 Vision Insurance
Vision plan options are available.
💳 Health Savings Account Contribution
Tesla provides an HSA contribution for eligible employees enrolled in the relevant high-deductible health plan.
💰 401(k)
Interns can be eligible for:
401(k)
and other financial benefits.
📈 Employee Stock Purchase Plan
Tesla also lists:
EMPLOYEE STOCK PURCHASE PLANS.
🛡️ Insurance
Benefits can include company-paid:
BASIC LIFE INSURANCE
AD&D
and:
SHORT-TERM DISABILITY
subject to applicable waiting periods.
🧠 Employee Assistance Programme
Tesla provides access to an:
EMPLOYEE ASSISTANCE PROGRAMME.
🏖️ Time Off
Benefits can include:
SICK TIME
VACATION TIME
and:
PAID HOLIDAYS.
🚆 Commuter Benefits
Tesla also lists:
COMMUTER BENEFITS
which may be especially relevant for an on-site Palo Alto internship.
🌍 Can International Students Apply?
Potentially, yes, where they already have valid U.S. work authorization.
Tesla specifically provides instructions for international students whose authorization is through:
CPT — CURRICULAR PRACTICAL TRAINING.
Students relying on CPT should confirm with their university that they are allowed to work:
40 HOURS PER WEEK
during the academic term.
Tesla warns that many students may be limited to:
PART-TIME WORK
during the academic year.
Because this internship requires:
FULL-TIME ON-SITE WORK,
students who cannot obtain authorization for 40 hours per week would not meet the stated requirement.
⚠️ Does Tesla Guarantee Visa Sponsorship?
The current Fleet Analytics posting discusses students with CPT but does not state a blanket guarantee of employer-sponsored immigration status.
Applicants should therefore not assume:
VISA SPONSORSHIP IS GUARANTEED.
International students should verify their existing U.S. work authorization and university requirements before applying.
🇿🇼 Can Zimbabwean Students Apply?
Potentially, if they are currently enrolled in an eligible academic programme and already have appropriate authorization to work full-time in the United States.
A Zimbabwean student could be academically relevant if studying:
COMPUTER SCIENCE
DATA SCIENCE
ELECTRICAL ENGINEERING
MECHANICAL ENGINEERING
STATISTICS
or a related field.
However, they would also need to:
✅ Be graduating in 2027 or 2028
✅ Be able to work 40 hours per week
✅ Work on-site in Palo Alto
✅ Meet U.S. employment-authorization requirements.
For students studying in the U.S. under F-1 status and relying on CPT, university approval for:
FULL-TIME CPT
would be particularly important.
📝 How to Apply
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
Applications are submitted through:
TESLA CAREERS.
Step 1 — Search Requisition 283138
Look for:
INTERNSHIP, DATA ENGINEER, FLEET ANALYTICS (WINTER/SPRING 2027).
Step 2 — Confirm Student Status
You need to be:
ACTIVELY ENROLLED
and planning to graduate in:
2027 OR 2028.
Step 3 — Check Your Availability
You must be available for:
AT LEAST 12 WEEKS
and:
40 HOURS PER WEEK.
Step 4 — Confirm Palo Alto Availability
This internship is:
ON-SITE.
Make sure you can realistically work in:
PALO ALTO, CALIFORNIA.
Step 5 — Demonstrate Programming Ability
Highlight projects using:
PYTHON
JAVA
SCALA
or another programming language.
Step 6 — Highlight Your Data Projects
Strong examples can include:
DATA PIPELINES
DASHBOARDS
LARGE-SCALE ANALYTICS
MACHINE LEARNING DATASETS
SQL PROJECTS
or:
RESEARCH DATA.
Step 7 — Show Production Thinking
Tesla does not only want ad-hoc analysis.
Highlight experience where you turned an analysis into:
A TOOL
A PIPELINE
A DASHBOARD
or:
A REUSABLE APPLICATION.
Step 8 — Apply While the Vacancy Is Active
The current official posting does not state a fixed closing date.
📋 Application Checklist
Before applying, confirm:
✅ Current Student
Required.
✅ Expected Graduation
2027 or 2028.
✅ Relevant Technical Degree
Required.
✅ Programming
Python, Java, Scala or equivalent.
✅ Data Experience
Coursework, research, internships or personal projects accepted.
✅ 40 Hours Per Week
Required.
✅ Minimum 12 Weeks
Required.
✅ Palo Alto
Must be able to work on-site.
✅ CPT
If applicable, confirm full-time eligibility with your university.
✅ Resume
Tailored toward data engineering and analytics.
✅ Application Deadline
No fixed date published on current posting.
🎯 How to Strengthen Your Application
🐍 Build a Strong Python Story
Do not simply list:
PYTHON
under skills.
Show how you used it for:
DATA PROCESSING
ANALYSIS
AUTOMATION
or:
APPLICATION DEVELOPMENT.
🗄️ Demonstrate SQL Ability
Because Tesla’s stack includes SQL and Trino, demonstrate that you can:
JOIN LARGE DATASETS
AGGREGATE METRICS
DEBUG QUERIES
and:
TURN RAW DATA INTO INSIGHTS.
🔄 Show Pipeline Experience
Even a university project can be valuable if it demonstrates:
DATA INGESTION
TRANSFORMATION
VALIDATION
and:
OUTPUT.
📊 Build Dashboards
Tesla specifically values people who can turn messy data into:
DASHBOARDS
INTERACTIVE VISUALISATIONS
and:
INTERNAL TOOLS.
⚡ Learn Distributed Data Concepts
Experience with:
SPARK
or related large-scale data technologies can make an application more relevant.
🌬️ Learn Airflow
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
Understanding workflow orchestration can help demonstrate readiness for:
PRODUCTION DATA PIPELINES.
🧠 Explain Trade-Offs
Tesla wants candidates who can communicate:
ASSUMPTIONS
and:
LIMITATIONS.
When describing a project, explain:
WHAT YOU CHOSE
WHY YOU CHOSE IT
and:
WHAT LIMITATIONS REMAINED.
🚗 Learn Tesla’s Product Ecosystem
The team works with data from:
VEHICLES
ROBOTAXIS
SUPERCHARGERS
ENERGY STORAGE
and:
OPTIMUS.
Understanding these systems can help you discuss why fleet-scale analytics matters.
⚠️ Common Application Mistakes
Avoid:
- Applying after graduation when you are not returning to school
- Assuming this is a remote role
- Ignoring the 40-hour weekly requirement
- Ignoring CPT limits during the academic year
- Listing Python without projects
- Treating the role as pure data analysis
- Failing to show software-engineering ability
- Ignoring data-pipeline experience
- Failing to explain your technical decisions clearly
- Assuming Tesla guarantees visa sponsorship
- Claiming a fixed $50/hour salary for every candidate
- Waiting for an application deadline that Tesla has not published
❓ Frequently Asked Questions
Is the Tesla Fleet Analytics Internship 2027 open?
Yes.
The current Tesla Careers posting is active for:
INTERNSHIP, DATA ENGINEER, FLEET ANALYTICS (WINTER/SPRING 2027).
What is the requisition number?
283138.
Where is the internship based?
PALO ALTO, CALIFORNIA.
Is it paid?
Yes.
Expected compensation is:
$40–$50 PER HOUR + BENEFITS.
Is $50 per hour guaranteed?
No.
Tesla gives a range of:
$40–$50 PER HOUR
and says actual pay depends on factors including skills, knowledge, experience and market location.
When does it start?
Around:
JANUARY 2027.
How long does it last?
At least:
12 WEEKS.
The internship is expected to continue through approximately:
MAY 2027 OR LATER.
Is it full-time?
Yes.
40 HOURS PER WEEK.
Is it remote?
No.
The role is:
ON-SITE.
What degree subjects are eligible?
Tesla lists:
COMPUTER SCIENCE
DATA SCIENCE
ELECTRICAL ENGINEERING
MECHANICAL ENGINEERING
STATISTICS
or related technical disciplines.
When should applicants graduate?
Expected graduation should be in:
2027 OR 2028.
Which programming languages are useful?
Tesla lists:
PYTHON
JAVA
SCALA
or another general-purpose language.
What technologies does Fleet Analytics use?
The stack includes:
SPARK
TRINO
PYTHON
SQL
REACT
JUPYTER
and:
AIRFLOW.
Do I need previous internship experience?
Not necessarily.
Tesla accepts data experience from:
COURSEWORK
RESEARCH
INTERNSHIPS
or:
PERSONAL PROJECTS.
Can recent graduates apply?
Not if they have finished school and are not returning to an academic programme.
Tesla directs those candidates toward:
FULL-TIME POSITIONS.
Can international students apply?
Potentially.
Tesla specifically discusses candidates using:
CPT.
They must confirm they can legally work:
40 HOURS PER WEEK.
Does Tesla guarantee sponsorship?
The vacancy does not provide a blanket sponsorship guarantee.
Can Zimbabwean students apply?
Potentially, if they meet the degree, student-status, on-site availability and U.S. work-authorization requirements.
What is the application deadline?
The current official vacancy does:
NOT PUBLISH A SPECIFIC CLOSING DATE.
Candidates should apply while the role remains active.
🚀 Final Thoughts
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto
Tesla Data Engineer Fleet Analytics Internship 2027: $40–$50 Per Hour in Palo Alto. The Tesla Data Engineer Fleet Analytics Internship 2027 is a strong opportunity for students who want practical experience at the intersection of:
📊 DATA ENGINEERING
🚗 AUTOMOTIVE TECHNOLOGY
🤖 ROBOTICS
⚡ ENERGY SYSTEMS
💻 SOFTWARE ENGINEERING
and:
🧠 AI-ENABLED ANALYTICS.
The position is based in:
📍 PALO ALTO, CALIFORNIA
and pays:
💰 $40–$50 PER HOUR + BENEFITS.
Interns work with:
PETABYTE-SCALE REAL-WORLD DATA
generated by:
TESLA VEHICLES
ROBOTAXIS
SUPERCHARGERS
ENERGY STORAGE SYSTEMS
and:
OPTIMUS ROBOTS.
The role includes:
DATA ANALYSIS
PIPELINE DEVELOPMENT
DASHBOARD BUILDING
APPLICATION DEVELOPMENT
METRICS
INTERNAL ENGINEERING TOOLS
and:
AI-ENABLED SELF-SERVICE ANALYTICS.
Tesla’s Fleet Analytics stack includes:
SPARK
TRINO
PYTHON
SQL
REACT
JUPYTER
and:
AIRFLOW.
Applicants must be actively enrolled and expect to graduate in:
2027 OR 2028.
They must also be available for:
AT LEAST 12 WEEKS
40 HOURS PER WEEK
and:
FULL-TIME ON-SITE WORK.
The internship is expected to start around:
📅 JANUARY 2027
and run through approximately:
📅 MAY 2027 OR LATER.
Because Tesla currently publishes no fixed closing date for requisition 283138, qualified students should consider applying while the vacancy remains active.
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🔑 Key Details
Company: Tesla
Role: Internship, Data Engineer, Fleet Analytics
Term: Winter/Spring 2027
Requisition ID: 283138
Category: Engineering & Information Technology
Location: Palo Alto, California
Job Type: Intern / Apprentice
Start: Around January 2027
End: Approximately May 2027 or Later
Minimum Duration: 12 Weeks
Hours: 40 Hours Per Week
Work Arrangement: On-Site
Expected Pay: $40–$50 Per Hour + Benefits
Student Status: Actively Enrolled
Expected Graduation: 2027 or 2028
Eligible Fields: Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, Statistics or Related Technical Field
Programming: Python, Java, Scala or Similar
Technology Stack: Spark, Trino, Python, SQL, React, Jupyter, Airflow
CPT Students: Must Confirm Eligibility for 40 Hours/Week
Recent Graduates: Should Apply to Full-Time Roles if Not Returning to School
Application Deadline: Not Published
Application: Tesla Careers
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