This role pays less than
72%
of similar roles. Most pay
$140,262–$211,200
— the shaded band above.
At the midpoint, this role pays about
$147k
versus about
$176k
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
116 open roles
on FindRole.
Listed pay typically runs
$160,200–$245,000
across 59 roles with salary data.
As a Senior Data Engineer, you will join the team responsible for building data products that power Customer Care and Aftersales analytics, AI, and operational decision-making. You will design and develop scalable pipelines to ingest, transform, and publish high-volume operational data while creating trusted datasets from complex information regarding warranty claims, repair orders, and service events. Your daily work involves optimizing processing workloads for performance and cost efficiency while implementing governance, observability, and monitoring capabilities. To succeed, you must possess expert-level SQL skills and proficiency in Python or Java to build production-grade pipelines. You will utilize tools such as Databricks, cloud environments like Azure, AWS, or GCP, and streaming technologies including Kafka or Pulsar. This role solves the challenge of turning massive operational datasets into reusable assets to improve quality and reduce costs in vehicle ownership.
What does a Data Engineer earn?
Median $183138 from 214 postings across 58 companies.
Azure
Python
SQL
Spark
Databricks
Azure Data Factory
Data Lake
Synapse Analytics
Azure Functions
ETL
Hadoop
NoSQL
Big Data
Data Modeling
Data Warehousing
DevOps
Real-Time Processing