Data Engineer - Resource Demand

At General Motors, our product teams are redefining mobility. Through a human-centered design process, we create vehicles and experiences that are designed not just to be seen, but to be felt. We’re turning today’s impossible into tomorrow’s standard —from breakthrough hardware and battery systems to intuitive design, intelligent software, and next-generation safety and entertainment features.   Every day, our products move millions of people as we aim to make driving safer, smarter, and more connected, shaping the future of transportation on a global scale.

The Resource Demand team is building trusted data pipelines, analytical datasets, and reporting applications that improve engineering planning decisions across General Motors. The work centers on Databricks as the calculation platform, interactive data applications that reduce spreadsheet dependency, and connected reporting across demand, actuals, and portfolio data. You will join a cross-functional team with strong knowledge of planning processes, reporting needs, and business data. In this role, you will design and maintain production-ready data pipelines, curated datasets, and reusable data products that reduce manual work, improve reporting speed, and give teams clearer insight for decision-making. This role helps improve planning speed, forecast confidence, and operational visibility for engineering teams that depend on consistent resource and portfolio data. What You’ll Do (Responsibilities) Build and maintain scalable data pipelines, curated Databricks data models, and reusable datasets that support reporting, analytics, downstream applications, and decision support. Partner with analysts, technical teams, and business stakeholders to translate resource demand, portfolio, workforce, finance, and actuals needs into reliable data products and workflows. Improve data trust and usability through data quality checks, validation logic, metadata, lineage, documentation, standards, monitoring, and clear ownership practices. Automate manual processes, optimize data delivery, and support interactive reporting or application experiences that reduce spreadsheet dependency and improve access to consistent insights. Develop datasets and delivery mechanisms for scenario modeling, capacity versus demand analysis, utilization reporting, forecast support, and leadership planning insights. Write reusable code, create repeatable data structures, and resolve data-related technical issues to improve development quality, scalability, and long-term supportability. Your Skills & Abilities (Required Qualifications) Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Software Engineering, Engineering, Mathematics, Statistics, Business, or another quantitative field. 2 years experience as a data engineer, analytics engineer, or software/data developer building production data pipelines, data models, or reporting solutions. Python or similar programming languages, advanced SQL, relational and analytical data platforms, Databricks or similar distributed processing tools, and reporting tools such as Power BI and Excel. Experience building reliable data structures for large datasets, analytics, reporting, decision support, data-driven applications, or business-facing reporting tools. Working knowledge of data quality, metadata, lineage, observability, distributed computing, cloud data environments, and practices that improve trust in shared data products. Ability to automate manual work, implement scalable improvements, solve problems thoroughly, stay organized in a dynamic environment, and communicate effectively with partners. What Can Give You a Competitive Advantage (Preferred Qualifications) Industry experience in a resource demand modeling team or similar planning function within a complex portfolio environment, including capacity planning, utilization analysis, scenario modeling, or forecast validation. Experience