Data Engineering Intern
Rivian and Volkswagen Group Technologies
About the Role
Rivian and Volkswagen Group Technologies is a joint venture focused on automotive technology, from operating systems to cloud and connectivity solutions, aiming to set standards for software-defined vehicles. This is a general application for internship openings across AI, Data, and Analytics teams. Specific team placement will be determined during the interview process.
Specific Internship Roles Included
- Data Engineering Intern - AI & Analytics
- Data Engineering Intern - AI/ML
- Data Engineering Intern - Analytics
- Software Engineering Intern - AI & Machine Learning
- Software Engineering Intern - AI Platform
- Software Engineering Intern - DevOps
- Software Engineering Intern - Execution Apps
- Software Engineering Intern - Fleet Applications
- Software Engineering Intern - Vehicle and Fleet Apps
- Systems Analytics Engineering Intern - Connectivity and Telematics
Role Summary
Software-defined vehicles generate substantial data. As a Data Engineering intern, you will contribute to building usable and reliable data infrastructure and analytics, focusing on data pipelines, machine learning platforms, or software/analytics for fleet and manufacturing applications.
Specific Project Areas 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.
- 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.
- Contribute to automated testing for data quality and pipeline reliability.
- Document work and share progress with the team.
Qualifications
- Currently enrolled in a Bachelor's or Master's program at an accredited US university.
- Proficient in Python and SQL.
Preferred Qualifications
- Actively pursuing a degree in Computer Science, Mathematics, Data Science, or a closely related field, with intent to return to school after the internship.
- 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, or infrastructure as code tools such as Terraform.
- Interest in applying data skills to vehicle, fleet, or manufacturing use cases.