GM Data Engineering team is seeking entry-level candidates to help build large scale data platforms on cloud environments.
Requirements
- 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
- Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms (Databricks / Snowflake) is a plus
Responsibilities
- 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
Other
- GM does not provide immigration-related sponsorship for this role.
- 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.
- Must be graduating between Dec 2025 – June 2026
- Able to work fulltime, 40 hours per week
- Excellent problem-solving and communication skills
- Eagerness to learn and grow in a collaborative environment