Data Engineering Intern – AI & Analytics

Rivian and Volkswagen Group Technologies

. Develop SQL- and Python-based data transformation and pipeline code .

Posted 10/23/2026internshipPalo Alto • California • United StatesEntry Level💰 $40 - $51 per hourWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Proficient in Python and SQL for data transformation and pipeline development, with experience in building ELT pipelines and analytics workflows on platforms like Databricks. Familiarity with machine learning model support and data quality testing is essential.

Highest-signal resume keywords

Python ProgrammingSQL ProficiencyDatabricks ExperienceData Pipeline DevelopmentMachine Learning Support

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationELT Pipeline DevelopmentAnalytics Workflow DesignAutomated TestingData Validation

Soft Skills

CollaborationDocumentation

Tools & Technologies

DatabricksSnowflakeGoogle BigQueryDbtTerraform

Industry Keywords

Data EngineeringAnalyticsMachine LearningFleet ManagementManufacturing Execution

Tech Stack

Tools & technologies

BigQueryPythonSQLTerraform

About the role

Key responsibilities & impact

Develop SQL- and Python-based data transformation and pipeline code
Build and maintain ELT pipelines and analytics workflows on Databricks or similar platforms
Support machine learning model development, evaluation, or deployment infrastructure
Contribute to software for fleet management or manufacturing execution applications
Design, build, or maintain data pipelines, analytics workflows, or ML-supporting infrastructure
Process, transform, and validate data using Python and SQL
Collaborate with data scientists, analysts, and software engineers
Contribute to automated testing for data quality and pipeline reliability
Document work and share progress with the team throughout the internship

Requirements

What you’ll need

Currently enrolled in a Bachelor's or Master's program at an accredited US university
Proficient in Python and SQL
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 Databricks, Snowflake, or Google BigQuery
Exposure to dbt or Terraform
Interest in applying data skills to vehicle, fleet, or manufacturing use cases
Current authorization to work for an employer in the United States is assessed in the application

Benefits

Comp & perks

Eligible for housing stipend
Competitive base salary
Equity in the form of Restricted Stock Units (RSUs), subject to board approval and applicable vesting requirements
Health coverage
Retirement savings
Time off
Family planning programs
Comprehensive benefits package for full-time employees