This role pays less than
93%
of similar roles. Most pay
$130,398–$212,500
— the shaded band above.
At the midpoint, this role pays about
$108k
versus about
$171k
for comparable roles.
Based on 240 similar postings.
Employer
About General Motors (GM)
General Motors (GM) is a leading American multinational automotive corporation founded in 1908 and headquartered in Detroit, Michigan.
General Motors (GM) currently has
111 open roles
on FindRole.
Listed pay typically runs
$165,400–$261,300
across 58 roles with salary data.
The Data Engineer - Data Software Engineering and Cloud Platforms, Early Career joins the GM Data Engineering team to build large-scale data platforms within cloud environments. In this role, you will lead the design and development of migrations from on-premise systems to the cloud while designing solutions that meet specific security and privacy requirements. You will collaborate with data engineers and scientists to deliver tailored solutions, maintain operational and analytic datastores, and develop ETL/ELT pipelines. The work involves optimizing cloud compute and storage costs while documenting processes for team knowledge sharing. Required skills include strong SQL proficiency, experience with Python, Java, or Scala, and an understanding of data modeling. Preferred technical competencies include familiarity with AWS, GCP, or Azure; Databricks or Snowflake; Git; and basic Linux/CLI operations to solve complex data infrastructure challenges.
What does a Data Engineer earn?
Median $160400 from 184 postings across 53 companies.
Lead the design and development of migrating on-premise data systems to cloud environments.
Design data solutions that comply with current and future security and privacy requirements.
Build and maintain operational and analytical datastores.
Design, develop, and maintain ETL/ELT pipelines.
Document technical processes and contribute to knowledge sharing within the team.
Optimize cloud compute and storage costs for data operations.
What we're looking for
Pursue or hold a bachelor's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, Information Technology, or a related field.
Ability to work full-time for 40 hours per week.
Strong SQL skills and familiarity with modern databases (preferred).
Basic programming experience in Python, Java, and/or Scala (preferred).
Understanding of data modeling concepts and ETL processes (preferred).
Excellent problem-solving and communication skills (preferred).
Familiarity with cloud platforms (AWS, GCP, or Azure) and data engineering platforms like Databricks or Snowflake (preferred).
Familiarity with Git and basic Linux/CLI (preferred).