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Data Engineer - Resource Demand

  • 위치
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202615465

설명

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 Role

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 connecting planning, workforce, finance, portfolio, and actuals data to support executive-level reporting, tradeoff decisions, and long-range planning.

  • Experience modernizing resource planning or portfolio management processes by replacing spreadsheet-heavy workflows with scalable applications, automated workflows, or self-service reporting.

#LI-KM2

GM does not provide immigration-related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc.)

이 직무는 재택 기반이지만, 선발된 지원자가 GM 허브에서 특정 거리 이내에 거주하는 경우 주 3회 {또는 관리자가 지정한 다른 빈도로} 출근해야 합니다.

이 직무는 리로케이션 혜택을 받을 수 없습니다. 모든 리로케이션 관련 비용은 최종선정 된 지원자가 부담해야 합니다.

다양성 정보

General Motors는 법적으로 금지된 차별을 배제하는 것은 물론 포용성과 소속감을 진정으로 장려하는 직장이 되기 위해 노력하고 있습니다. 당사는 다양성이 보장되는 환경에서 직원들이 역량을 발휘하고 우리 고객을 위한 더 좋은 제품을 개발할 수 있다고 믿습니다. 따라서 입사에 관심 있는 사람이 있다면 포지션별 주요 업무와 자격을 확인하고 본인이 보유한 기술과 능력에 부합하는 모든 포지션에 적극적으로 지원하기를 장려합니다. 지원자는 채용 과정에서 역할 관련 평가(해당하는 경우) 및/또는 채용 전 스크리닝을 통과해야 합니다.  자세한 정보는 GM 채용 과정 안내를 참고하십시오.

공평한 취업 기회 선언 (미국)

General Motors는 공평한 기회를 제공하는 고용주임을 자부합니다.  자격을 만족하는 지원자는 인종과 피부색, 성별, 성적 지향, 성별 정체성, 국적, 장애, 재향 군인 보호법 적용 여부와 상관없이 채용 후보로서 심사를 받습니다. 

숙소 (미국 및 캐나다)

General Motors는 장애인을 포함한 모든 구직자들에게 취업 기회를 제공합니다. 구직이나 취업 지원에 도움이 되는 합리적인 숙소가 필요한 경우 [email protected]으로 이메일을 보내시거나 800-865-7580으로 전화주십시오. 이메일에, 귀하가 요청하는 특정한 숙소에 대한 설명과 귀하가 지원하는 직무와 채용 요청서 번호를 포함해주세요.