Staff Data Engineer, Enterprise Data & AI Platform

Rivian and Volkswagen Group Technologies; Palo Alto (CA); On-site; USD 167,000 - 230,000; Full time

Benefits offered by this job

Equity RSUs

Annual bonus program

Comprehensive benefits

Job summary

Rivian and Volkswagen Group Technologies is hiring a Staff Data Engineer to lead the enterprise data and AI platform. You will design trusted data products, set architecture standards, and solve complex problems across ingestion, transformation, governance, and AI-powered analytics.

You will stay hands-on while guiding initiatives that span multiple domains, ensuring AI insights are accurate, explainable, and grounded in certified data.

Qualifications

• 8+ years in Data or Software Engineering with SQL and Python.
• Deep proficiency with dbt and cloud data platforms (Databricks preferred).
• Hands-on GenAI, LLM agents, or RAG architectures experience.
• Production-grade interactive apps using Streamlit or React and BI tools.
• CI/CD, Git-based collaboration; strong cross-functional communication.

Responsibilities

• Design and implement scalable ELT pipelines and semantic models using dbt, SQL, and Python on Databricks.
• Contribute to a unified executive analytics portal with embedded analytics and AI-assisted insights.
• Develop conversational AI agents over enterprise data products with robust guardrails.
• Partner with Finance, People, Privacy, and Legal to translate priorities into data products.
• Define end-to-end engineering standards across the Enterprise Insights domain.

Skills

SQL

Python

Data Engineering

System Design

Leadership

Education

B.S./M.S. in CS/Engineering/Math

Tools

dbt

Databricks

React

Streamlit

BI Tools (Tableau/Power BI/Hex)

Job description

Rivian and Volkswagen Group Technologies is hiring a Staff Data Engineer to lead the enterprise data and AI platform. You will design trusted data products, set architecture standards, and solve complex problems across ingestion, transformation, governance, and AI-powered analytics.

You will stay hands-on while guiding initiatives that span multiple domains, ensuring AI insights are accurate, explainable, and grounded in certified data.