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Entry-Level Data Governance Engineer
Entry-Level Data Governance EngineerGeneral Motors • Warren, Michigan, United States of America
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Entry-Level Data Governance Engineer

Entry-Level Data Governance Engineer

General Motors • Warren, Michigan, United States of America
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Job Description

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)​

To help facilitate administration of relocation benefits if you are selected, please apply using the permanent address you would move from.

Work Arrangement

This role is categorized as Hybrid. This means the successful candidate is expected to report to GM offices in Warren, MI or Austin, TX at least 3 days per week, at minimum.

The Role

The GM Data & AI Governance team is seeking entry-level candidates to help design and implement policy, process, and technical solutions that proactively deploy governance for enterprise-scale data and AI platforms. Candidates should have a Master’s degree in Data Science, Computer Science, Information Systems, Business Analytics, or a related field, and be eager to work in a high-intensity, collaborative environment.

What You’ll Do

  • 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.

Required Qualifications :

  • 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.
  • What Will Give You a Competitive Edge (Preferred Qualifications) :

  • Experience or coursework with Atlan, Immuta, or Anomalo (or similar governance, data catalog, data access, data quality platforms).
  • Knowledge of SQL, Java and Python with exposure to modern data engineering practices (ETL / ELT, data modeling).
  • Understanding of data privacy, security, and compliance frameworks.
  • Strong problem-solving, collaboration, and documentation skills.
  • Interest in Data Governance, AI Governance, and Responsible AI.
  • Demonstrated ability to work in fast-paced, high-intensity environments.
  • Strong ability to communicate technical concepts to both technical and non-technical audiences.
  • Compensation

    The base salary will be based on factors relevant to the position, as well as geography of the selected candidate.

  • Bonus Potential : An incentive pay program offers payouts based on company performance, job level, and individual performance.
  • What you’ll get from us (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.
  • About GM

    Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

    Why Join Us

    We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

    Benefits Overview

    From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources .

    Non-Discrimination and Equal Employment Opportunities (U.S.)

    General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

    All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

    We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and / or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire .

    Accommodations

    General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

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    Data Engineer • Warren, Michigan, United States of America

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