General Motors

Data Governance Engineer

General Motors

full-time

Posted on:

Location Type: Hybrid

Location: Warren • Missouri, Texas • 🇺🇸 United States

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Job Level

Entry Level

Tech Stack

AWSAzureBigQueryCloudGoogle Cloud Platform

About the role

  • Contribute to the design and delivery of data and AI governance solutions across Azure and Databricks platforms.
  • Support integration and optimization of enterprise governance tools, including metadata management, data catalog, lineage, data access, and data quality.
  • Assist in building and maintaining workflows through a custom API layer for metadata management and platform integration.
  • Partner with data engineers, architects, and compliance teams to translate technical requirements into sustainable governance solutions.
  • Participate in developing policies and processes that address data privacy, security, and responsible AI requirements.
  • Document processes, share knowledge, and help advance governance maturity across the enterprise.

Requirements

  • Pursuit of a Master’s degree in one of the following areas: Data Science, Computer Science, Information Systems, Business Analytics, or related field.
  • Must be graduating between Dec 2025 and June 2026.
  • Familiarity with cloud environments (i.e Azure, AWS, GCP, Databricks, Snowflake, BigQuery environments).
  • Knowledge of APIs, metadata management, and basic data engineering concepts.
Benefits
  • GM offers a variety of health and wellbeing benefit programs.
  • Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more.
  • This job may be eligible for relocation benefits.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data governanceAI governancemetadata managementdata catalogdata lineagedata accessdata qualityAPI developmentdata engineeringdata privacy
Soft skills
collaborationcommunicationdocumentationknowledge sharingpolicy development
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