This role pays more than
50%
of similar roles. Most pay
$139,500–$218,843
— the shaded band above.
At the midpoint, this role pays about
$186k
versus about
$179k
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
118 open roles
on FindRole.
Listed pay typically runs
$160,200–$261,300
across 71 roles with salary data.
As a Staff Data Engineer at General Motors, you will join the Austin Technical Center team and lead complex data engineering initiatives that enhance GM’s cloud architecture and AI-enablement capabilities. Your daily tasks include designing scalable data architectures, building automated pipelines for advanced analytics and machine learning, and establishing best practices for data quality and security across the enterprise. You will work with Azure, AWS, or GCP to architect large-scale solutions and partner with data scientists and executives to translate business requirements into technical roadmaps. Essential skills include expertise in Python, SQL, Scala, or R, extensive experience with big data frameworks like Apache Spark and Kafka, and a deep understanding of cloud platforms and data governance. Additionally, you should be adept at mentoring engineers and integrating emerging technologies such as Generative AI into data workflows for automated validation and performance tuning.