General Motors · 3 hours ago
Senior Data Engineer
Warren, Michigan, United States of America
Full-time
Hybrid
Senior Level
$153K/yr - $227K/yr
7+ years expGeneral Motors is a leading automotive company, and they are seeking a Senior Data Engineer to design, build, and optimize data assets and pipelines for Business Intelligence and Advanced Analytics. The role involves delivering scalable solutions, collaborating with teams, and mentoring peers while ensuring alignment with business priorities.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
Responsibilities
Assemble large, complex data sets that meet functional and non-functional business requirements
Identify, design, and implement process improvements, including automation, data delivery optimization, and infrastructure redesign for scalability
Lead and deliver data-driven solutions across multiple languages, tools, and technologies
Contribute to architecture discussions, solution design, and strategic technology adoption
Build and optimize highly scalable data pipelines incorporating complex transformations and efficient code
Design and develop new source system integrations from varied formats (files, database extracts, APIs)
Design and implement solutions for delivering data that meets SLA requirements
Work with operations teams to resolve production issues related to the platform
Apply best practices such as Agile methodologies, design thinking, and continuous deployment
Develop tooling and automation to make deployments and production monitoring more repeatable
Collaborate with business and technology partners, providing leadership, best practices, and coaching
Mentor peers and junior engineers; educate colleagues on emerging industry trends and technologies
Qualification
Required
Bachelor's degree in Computer Science, Software Engineering, or related field, or equivalent experience
7+ years of data engineering/development experience, including Python or Scala, SQL, and relational/non-relational data storage. (ETL frameworks, big data processing, NoSQL)
3+ years of experience in distributed data processing (Spark) and container orchestration (Kubernetes)
Proficiency in data streaming in Kubernetes and Kafka
Experience with cloud platforms – Azure preferred; AWS or GCP also considered
Solid understanding of CI/CD principles and tools
Familiarity with big data technologies such as Hadoop, Hive, HBase, Object Storage (ADLS/S3), Event Queues
Strong understanding of performance optimization techniques such as partitioning, clustering, and caching
Proficiency with SQL, key-value datastores, and document stores
Familiarity with data architecture and modeling concepts to support efficient data consumption
Strong collaboration and communication skills; ability to work across multiple teams and disciplines
Preferred
Master's degree in Computer Science, Software Engineering, or related field
Knowledge of data governance, metadata management, or data quality/observability
Familiarity with schema design and data contracts
Experience handling various file formats (video, audio, image)
Experience with Databricks, Snowflake, or similar platforms
Benefits
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
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
Mexico Business
2026-01-23
2026-01-23
2026-01-23
Company data provided by crunchbase