Tesla

Makes electric cars, robotaxis and grid batteries

Data Engineering Intern - Data Engineering & Business Intelligence

Data EngineeringConfirmed live in the last 24 hours

Internship · Spring 2027Fremont, CA, USANo salary listed

About the Job

Requirements

Currently pursuing a degree in Computer Science, Engineering, Information Systems, Data Science, or a related field, or equivalent experience, with a graduation date between May 2027 and June 2028.
Strong foundation in SQL, including writing, debugging, and optimizing queries with joins, common table expressions, and window functions.
Solid understanding of Python and basic API development concepts.
Basic knowledge of ETL/ELT concepts and workflow orchestration, such as Airflow or similar tools.
Familiarity with at least one relational database, such as SQL Server, MySQL, PostgreSQL, or Vertica.
Strong written and verbal communication skills, with comfort working with technical and non-technical stakeholders.

Responsibilities

Support development of LLM-based analytics agents by translating business metric requests into accurate SQL, structured configurations, and clear documentation.
Assist in building and maintaining ETL/ELT jobs orchestrated via Apache Airflow.
Write and optimize SQL across SQL Server (T-SQL), Vertica, and Trino for dimension and fact table loads and reporting views.
Help build and extend internal Python APIs using FastAPI, including database connectors, caching, and asynchronous endpoints.
Support incremental and change-data-capture-style loading patterns for fact and dimension tables.
Collaborate with data analysts and stakeholders to translate business questions into data models and metrics.
Monitor pipeline health, troubleshoot job failures, and help improve reliability.
Document pipelines, data flows, and metric definitions for engineers and analysts.

Desired Qualifications

Experience working with large language models, such as prompt engineering, building or integrating with LLM-based agents or tools, or using LLM APIs in a project.
Familiarity with asynchronous API development concepts such as async/await.

Category	Engineering & Information Technology
Location	Fremont, California
Requisition ID	285291
Type	Intern/Apprentice

Job Description

Consider before submitting an application: This position is expected to start around January 2027 and continue through the entire Spring term (ending approximately May 2027 or later, if available). We ask for a minimum of 12 weeks, Full - Time (40 hours/week) and on-site, for most internships. Our internship program is for students who are actively enrolled in an academic program. Recent graduates seeking employment after graduation and not returning to school should apply for full-time positions, not 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. About the TeamWe are looking for a motivated Data Engineering Intern to join our growing Data Engineering & Business Intelligence team, helping build, maintain, and improve the pipelines and services that power analytics across Tesla's product lines, including Vehicles, Semi, Robotaxi, and Optimus. You'll work across our data warehouse, our internal API platform, and our SI Agent Analytics layer, using tools such as Apache Airflow, SQL Server, Vertica, Trino, Python/FastAPI, and LLM-powered analytics agents.

Job Responsibilities

Support development of LLM-based analytics agents, translating business metric requests into accurate SQL, structured configs, and clear documentation
Assist in building and maintaining ETL/ELT jobs orchestrated via Apache Airflow
Write and optimize SQL across SQL Server (T-SQL), Vertica, and Trino for dimension/fact table loads and reporting views
Help build and extend internal Python APIs (FastAPI), including database connectors, caching, and async endpoints
Support incremental/CDC-style loading patterns for fact and dimension tables
Collaborate with data analysts and stakeholders to translate business questions into data models and metrics
Monitor pipeline health, troubleshoot job failures, and help improve reliability
Document pipelines, data flows, and metric definitions clearly for other engineers and analysts

Job Requirements

Pursuing a degree in Computer Science, Engineering, Information Systems, Data Science, or related field (or equivalent experience) with a gradtuation date between May 2027-June 2028
Strong foundation in SQL - writing, debugging, and optimizing queries (joins, CTEs, window functions)
Solid understanding of Python, including basic API development concepts (REST, async/await a plus)
Basic knowledge of ETL/ELT concepts and workflow orchestration (Airflow or similar)
Familiarity with at least one relational database (SQL Server, MySQL, PostgreSQL, Vertica, etc.)
Experience working with LLMs is a plus — e.g. prompt engineering, building or integrating with LLM-based agents/tools, or using LLM APIs in a project
Strong written and verbal communication skills; comfortable working with both technical and non-technical stakeholders
Eagerness to learn modern data engineering practices and take on increasingly complex tasks

About the Company

Tesla

Makes electric cars, robotaxis and grid batteries

Tesla makes electric cars and batteries that store power for homes and utilities, and it develops self-driving software and humanoid robots. In 2023, its Model Y became the first electric vehicle to rank as the world's best-selling car. Buyers order the Model 3 sedan, Model Y SUV, or Cybertruck pickup directly from Tesla instead of through dealers, and they charge on its Supercharger fast-charging network. It also sells Megapack and Powerwall batteries, runs a robotaxi service, and charges drivers a monthly fee for self-driving software that still needs their supervision. Tesla was founded in 2003, with Elon Musk as its lead early investor and a recognized co-founder, and it is based in Austin, Texas.

Company size: 10,001+
Company stage: IPO
Headquarters: Austin, TX
Founded: 2003

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