Data Governance Intern at Zoox working on data cataloging and data governance for autonomous vehicles. Hands-on internship providing industry experience with enterprise data systems.
Responsibilities
Zoox is transforming mobility with fully autonomous, electric vehicles designed from the ground up for a driverless future.
Zoox’s internship program offers hands-on experience with cutting-edge technology, mentorship from some of the industry’s brightest minds, and the opportunity to make meaningful contributions to real projects.
Interns on this team will work on data cataloging, data governance, and data enablement initiatives.
The intern will research and assess current data cataloging and metadata capabilities at Zoox (including platforms such as Databricks and other internal tools), identify gaps and opportunities, and help articulate how these capabilities can better support the organization.
The intern will contribute to foundational data education efforts, helping document and socialize core concepts such as data management, data governance, data lineage, data quality, and data ownership across technical and non-technical stakeholders.
This role offers exposure to enterprise-scale data platforms and the opportunity to influence how teams discover, understand, and trust data.
Requirements
Currently pursuing a B.S. or M.S. in Computer Science, Data Engineering, Information Systems, Business Analytics, Industrial Engineering, or a related field
Plan to return to school after completing the internship.
Maintain good academic standing.
Available to commit to a 12-week internship beginning in May or June 2026.
At least one prior industry internship, co-op, or relevant project experience.
Willing and able to relocate to the Bay Area, California, for the duration of the internship.
Interns may not use proprietary Zoox information in university theses, publications, or share it outside of Zoox.
Strong interest in data platforms, data management, and enterprise systems
Familiarity with basic data concepts (datasets, schemas, metadata, lineage, or analytics)
Comfortable working with structured data and documentation (e.g., SQL basics, Python, notebooks, or technical writing)
Strong analytical and research skills, with the ability to synthesize findings into clear recommendations
Clear written and verbal communication skills; comfortable explaining technical concepts to diverse audiences
Exposure to data cataloging, metadata management, or governance tools (e.g., Databricks, Collibra, Alation, DataHub)
Familiarity with cloud data platforms (AWS, Databricks, Snowflake, etc.)
Prior coursework or projects in data governance, data architecture, or information management
Experience creating documentation, diagrams, or educational material
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