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Data Engineering Intern - AI & Analytics (January - August 2027)

Rivian & Volkswagen Group TechnologiesPalo Alto, CaliforniaTechnology and Innovation
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Salary
$40 – $51 per hour
Job type
Internship
Work mode
Remote
Posted
8 Sept 2026
Status
Open · checked 7d ago

About this role

The Data Engineering Intern - AI & Analytics position at Rivian & Volkswagen Group Technologies is a temporary internship running from January to August 2027 in Palo Alto, California, with remote flexibility. This role suits currently enrolled university students looking to build software-defined vehicle data infrastructure.

Role Overview

Rivian & Volkswagen Group Technologies seeks a Data Engineering Intern for its AI, Data, and Analytics teams. Software-defined vehicles generate massive amounts of telemetry, manufacturing, and fleet data that require reliable pipelines and infrastructure. Selected candidates are matched to a specific team based on background and interests during the interview process, with project areas ranging from machine learning platforms to analytics workflows and manufacturing applications.

Key Responsibilities

Design, build, or maintain data pipelines, analytics workflows, or machine learning supporting infrastructure.
Write Python and SQL code to process, transform, and validate data efficiently.
Collaborate closely with data scientists, analysts, and software engineers to address platform and data needs.
Contribute to automated testing initiatives focused on data quality and pipeline reliability.
Document completed work and share regular progress updates with the team throughout the internship duration.

Requirements

Currently enrolled in a Bachelor's or Master's degree program at an accredited US university.
Proficiency in Python and SQL programming languages.

Nice to Have

Actively pursuing a degree in Computer Science, Mathematics, Data Science, or a closely related field with the intent to return to school after the internship.
Prior coursework or project experience involving data engineering, analytics, or machine learning.
Familiarity with cloud data platforms such as Databricks, Snowflake, or Google BigQuery.
Exposure to data transformation tools like dbt or infrastructure-as-code tools like Terraform.
Interest in applying data engineering skills to vehicle, fleet, or manufacturing use cases.

Skills and Tools

Python
SQL
Snowflake
dbt
Terraform
Databricks
Google BigQuery

Salary and Benefits

The hourly pay rate for this position is between 40 and 51 USD per hour. Full-time positions are eligible for comprehensive benefits programs covering health, wellbeing, and financial futures, alongside discretionary annual performance bonus programs and equity in the form of Restricted Stock Units, subject to plan terms and board approval.

About the Company

Rivian and Volkswagen Group Technologies is a joint venture bringing together industry leaders to shape the future of automotive technology. Combining expertise in connectivity, artificial intelligence, security, and cloud solutions, the organization addresses electric vehicle challenges to establish global standards for software-defined vehicles.

How to Apply

To submit an application for this position, please visit the official Rivian and Volkswagen Group Technologies careers site.

Skills and tech stack

Questions candidates ask

What are the dates for the internship?

The internship runs from January to August 2027.

Where is the position located?

The role is based in Palo Alto, California, with remote flexibility.

What qualifications are required to apply?

Applicants must be currently enrolled in a Bachelor's or Master's program at an accredited US university and demonstrate proficiency in Python and SQL.

What is the hourly pay rate for this role?

The hourly compensation ranges from 40 to 51 USD per hour.

How do I apply for this position?

External candidates can apply directly through the Rivian and Volkswagen Group Technologies careers site.

Ready to apply?

The application is on the official Rivian & Volkswagen Group Technologies careers page.

Apply on company site