
Entry-Level Data Engineer
General Motors
full-time
Posted on:
Location Type: Hybrid
Location: Warren • Missouri • Texas • United States
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Job Level
About the role
- 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
Requirements
- 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
- 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.
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
SQLPythonJavaScalaETLELTdata modelingdata securitydata privacycloud computing
Soft skills
problem-solvingcommunicationcollaborationeagerness to learnknowledge sharing