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 three days per week, at minimum.
The Role:
The GM Data Engineering team is seeking entry-level candidates to help build large scale data platforms on cloud environments. The ideal applicants for these roles have a bachelor’s degree in software engineering, computer science, mathematics, information technology or similar.
What You'll Do:
Lead the design and development of migrating on-prem data systems to cloud environments
Design data solutions around current and future data security and privacy requirements
Work with data engineers and data scientists to understand data needs and deliver solutions
Build and maintain operational and analytic datastores
Assist in designing, developing, and maintaining ETL/ELT pipelines
Document processes and contribute to knowledge sharing within the team
Learn how to optimize cloud compute and storage cost
Required Qualifications:
Pursuit of a bachelor’s degree in one of the following areas: Computer Science, Software Engineering, Electrical/Computer Engineering, Information Technology or related degree
Must be graduating between Dec 2025 – June 2026
Able to work fulltime, 40 hours per week
What Will Give You a Competitive Edge (Preferred Qualifications)
Strong SQL skills and familiarity with modern databases
Basic programming experience in Python, Java, and/or Scala
Understanding of data modeling concepts and ETL processes
Excellent problem-solving and communication skills
Eagerness to learn and grow in a collaborative environment
Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms (Databricks / Snowflake) is a plus
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.
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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.
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