General Motors · 6 hours ago
Data Engineer - Supplier Quality Data Analytics
Warren, MI
Full-time
Hybrid
Mid Level
3+ years expGeneral Motors is seeking a highly motivated and technically skilled Data Engineer to support data-driven decision-making across the Global Supplier Quality organization. In this role, you will design, develop, and maintain scalable data pipelines and analytics solutions that enhance supplier quality performance and operational efficiency.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
U.S. Citizen Only
Responsibilities
Develop Data Pipelines: Design, build, and optimize ETL pipelines for ingesting, transforming, and storing supplier quality data from multiple sources, ensuring high performance and scalability for large datasets
Model and Store Data: Implement relational and dimensional data models to support analytics and reporting, using tools such as SQL, Databricks, Microsoft Fabric, and Dataloop
Support Analytics and Reporting: Prepare clean, structured datasets for dashboards and reports in Power BI. Collaborate with data analysts and quality engineers to ensure data accuracy, usability, and consistency
Automate and Integrate Systems: Develop and maintain automation workflows using Python. Integrate data solutions with collaboration tools such as Slack and SharePoint for streamlined processes
Maintain Data Governance and Security: Ensure compliance with corporate data standards. Monitor data integrity and troubleshoot issues across pipelines, models, and dashboards
Qualification
Required
Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical field
Minimum 3 years of experience in data engineering or analytics roles
Proficiency in SQL and Python for data manipulation, automation, and ETL development
Experience with data visualization tools such as Power BI
Familiarity with cloud platforms (e.g., Azure, AWS) and big-data technologies (e.g., Spark, Databricks)
Strong understanding of data modeling, data warehousing, and pipeline architecture
Excellent analytical, problem-solving, and communication skills
Ability to work independently and collaboratively in a fast-paced, cross-functional environment
Preferred
Experience working with supplier quality data or manufacturing analytics
Hands-on experience with Microsoft Fabric and its components (Lakehouse, Dataflows, Notebooks)
Knowledge of Slack automation and SharePoint integration
Certifications in Databricks, Dataloop, or Microsoft Fabric
Familiarity with GM systems such as SQMS, MARS, and SPCR workflows
Previous experience supporting dashboard development and data governance in a corporate or manufacturing setting
Benefits
Relocation benefits
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