Staff Data Engineer – Testable Functionality Rollout Plan

General Motors Australia & New Zealand

Milford, Michigan, United States
Not specified; not specified; benefits include med...
Hybrid: expected to report to milford, michigan or warren, michigan three times per week.
7+ years professional experience
Python backend development flask fastapi
React web application and typescript
General Motors is seeking a Staff Data Engineer for their Testable Functionality Rollout Plan, focusing on creating a centralized data lake and visualization layer to enhance software-hardware traceability. The ideal candidate should have extensive experience in software and data engineering, particularly with Databricks and Python, and be proficient in full-stack development

Job Summary

  • The role involves building a backbone of visibility by creating a traceable gold-source data lake and visualization layer for GM's Testable Functionality Rollout Plan.
  • Candidates will develop scalable UI and reporting initiatives using React while integrating with upstream test infrastructure and downstream consumer applications.
  • Successful applicants will mentor engineers on Databricks and data modeling while ensuring robust error handling and incident management for nightly processing pipelines.

Matching Summary

Match Score: 85

General Motors is seeking a Staff Data Engineer for their Testable Functionality Rollout Plan, focusing on creating a centralized data lake and visualization layer to enhance software-hardware traceability. The ideal candidate should have extensive experience in software and data engineering, particularly with Databricks and Python, and be proficient in full-stack development.

Salary

Not specified; Not specified; Benefits include medical, dental, vision, retirement savings plan, tuition assistance, and company vehicle evaluation program

Skills & Requirements

Must-have

  • 7+ years professional experience
  • Python backend development Flask FastAPI
  • React web application and TypeScript
  • Databricks PySpark ETL/ELT pipelines
  • Delta Lake large-scale data storage
  • Power BI semantic layer modeling
  • Relational and graph database skills

Nice-to-have

  • Graph database querying Neo4j Cypher
  • Microsoft Azure Data Factory Event Hubs
  • Automated test infrastructure experience
  • CI/CD pipeline management dbx
  • Automotive embedded systems background
  • DAX performance optimization Power BI
  • Multi-environment deployment tooling

Key Requirements

  • Bachelor's degree in Computer Science or related field
  • 7+ years of software or data engineering experience
  • Proven track record owning critical batch or nightly pipelines

Work Rights

Not specified

Tailored Resume

Cover Letter