Data Engineering Intern

About the Role

Rivian and Volkswagen Group Technologies is a joint venture focused on the next chapter of automotive technology, including operating systems, zonal controllers, cloud, and connectivity solutions for software-defined vehicles. This is a general application for multiple internship openings across AI, Data, and Analytics teams.

Role Summary

As a Data Engineering intern, you will help transform the enormous amounts of data generated by software-defined vehicles into usable, reliable infrastructure and analytics. You will work on data pipelines, machine learning platforms, or software and analytics supporting fleet and manufacturing applications. Specific project areas will vary by team and may include:

• Developing SQL and Python based data transformation and pipeline code.
• Building and maintaining ELT pipelines and analytics workflows on platforms like Databricks.
• Supporting machine learning model development, evaluation, or deployment infrastructure.
• Contributing to software for fleet management or manufacturing execution applications that depend on reliable data.
• Building automated data quality tests and integrating with CI/CD workflows.

Key Responsibilities

• Design, build, or maintain data pipelines, analytics workflows, or ML supporting infrastructure.
• Write Python and SQL code to process, transform, and validate data.
• Collaborate with data scientists, analysts, or software engineers to meet data or platform needs.
• Contribute to automated testing for data quality and pipeline reliability.
• Document your work and share progress with your team throughout the internship.

Requirements & Tech Stack

• Proficient in Python and SQL.
• Coursework or project experience with data engineering, analytics, or machine learning.
• Familiarity with cloud data platforms such as Databricks, Snowflake, or Google BigQuery.
• Exposure to data transformation tools such as dbt.
• Exposure to infrastructure as code tools such as Terraform.
• Interest in applying data skills to vehicle, fleet, or manufacturing use cases.

Qualifications

• Currently enrolled in a Bachelor's or Master's program at an accredited US university.
• Actively pursuing a degree in Computer Science, Mathematics, Data Science, or a closely related field, with intent to return to school after the internship.