[Skip To Content]

Staff Data Engineer – Testable Functionality Rollout Plan

  • 위치
    • Milford, Michigan
    • Warren, Michigan
  • 직무 유형 Full time
  • 게시됨
  • Job Requisition JR-202609565

설명

Work Arrangement:

Hybrid:  This role is categorized as hybrid. This means the successful candidate is expected to report to Milford, Michigan or Warren, Michigan three times per week, at minimum.

Our Mission:

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.

The Role:

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 Testable Functionality Rollout Plan (TFRP) is GM’s framework for rolling out software and hardware functionality with confidence. TFRP connects functional intent, requirements, software, hardware, tests, and results into a single, traceable story so engineering teams can see exactly what changed, what was validated, and how stable a function is at any point in its lifecycle. Organizations such as Mechatronics uses TFRP to plan and time their work, understand issues quickly, and help triage and drive fixes overnight. Our mission is to turn complex test and configuration data into clear, actionable insight that accelerates feature delivery and drives data-driven decisions across the vehicle ecosystem.

We are looking for a TFRP Data Engineer – Software Developer to build the backbone of this visibility: a traceable gold-source data lake and visualization layer . In this role, you will ensure that all data describing software–hardware connections, configurations, tests, and outcomes is centralized, modeled, and exposed through intuitive dashboards and applications . Your work will create the single source of truth that powers end-to-end traceability, enables engineers to quickly understand impact and coverage, and gives leaders a real-time view of functional readiness and stability across programs.

What You'll Do:

Full Stack application UI & backend services & integrations

  • Develop and maintain backend APIs/services in Python (e.g., Flask/FastAPI) that provide structured access to processed test data and failure summaries.

  • Code and provide requirements for scalable UI & reporting initiatives utilizing React web application and both relational and graph database capabilities.

  • Integrate with upstream systems (test infrastructure, CI pipelines, file/object storage) and downstream consumers (internal web apps, reporting tools).

  • Implement robust error handling, logging, metrics, and tracing so incidents are visible and diagnosable without guesswork.

Support analytics & reporting

  • Partner with data analysts and engineering stakeholders to shape the semantic layer (tables, views, measures) that powers Power BI and other reporting tools.

  • Ensure nightly refreshes are predictable, well‑monitored, and clearly communicated to stakeholders.

  • Help simplify complex test/log data into intuitive, stable data models that engineers can easily query and build on.

Technical leadership & mentoring

  • Serve as the technical point of contact for the automated test analytics platform and its nightly processing — including incident response and root‑cause analysis.

  • Drive engineering standards for code quality, testing, documentation, and reviews across data and backend components.

  • Mentor engineers and analysts on Databricks, data modeling, and backend best practices , enabling the broader team to contribute safely and effectively.

  • Provide requirements, documentation, training videos, training classes, and message board technical support and RCA.

  • Provide Support for users on technical support on dashboard related issues.

  • Model and foster GM’s Core Values and Winning behaviors 

Your Skills & Abilities (Required Qualifications):

  • Bachelor’s degree in Computer Science, Software Engineering, Data Engineering , Engineering , or a related field.

  • 7+ years of professional experience in software and/or data engineering.

  • Strong hands‑on experience with Databricks or similar Spark‑based platforms, including:

  • Building production ETL/ELT pipelines in PySpark.

  • Working with Delta Lake (or equivalent) for large‑scale data storage and querying.

  • Proficiency in Python for both data processing and backend service development.

  • Proficiency in React web stack and typescript.

  • Strong SQL and data modeling skills; experience designing schemas and tuning queries for performance at scale.

  • Experience building and operating backend services/APIs (e.g., Flask, FastAPI, Django, or similar).

  • Proven track record of owning critical batch or nightly pipelines , including monitoring, alerting, and incident management.

  • Strong communication skills and ability to work directly with cross‑functional partners (engineers, analysts, product leads).

What Will Give You A Competitive Edge (Preferred Qualifications):

  • Master’s degree in Computer Science, Software Engineering, Data Engineering , Engineering , or a related field.

  • 10+ years of professional experience in software and/or data engineering.

  • Strong skills connecting end user UI with application integration and data source schema alignment .

  • SQL Power user with additional experience in graph database querying (cypher/ graphQL) and neo4j.

  • Deep experience with Databricks deployment tooling (e.g., dbx), CI/CD pipelines, and multi‑environment management.

  • Prior work with automated test infrastructures , CI/CD systems, or large‑scale log/telemetry processing.

  • Strong experience with Power BI (or similar BI tools), including data modeling, DAX, and performance optimization.

  • Familiarity with Microsoft Azure (e.g., Data Lake, Key Vault, Data Factory, Event Hubs/Service Bus).

  • Background in automotive, embedded systems, diagnostics, or other safety‑critical domains where test quality and rapid root‑cause analysis are essential.

Company Vehicle:

Upon successful completion of a motor vehicle report review, you will be eligible to participate in a company vehicle evaluation program, through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.  

Benefits:  

GM offers a variety of health and wellbeing benefit programs. Benefit options include 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 and more.   

Relocation:  

This job may be eligible for relocation benefits.

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.