Staff Data Engineer – Testable Functionality Rollout Plan

General Motors

TFRP Data Engineer developing traceable data lake and visualization layer for General Motors. Leading technical standards and collaborating with cross-functional teams to enhance software-hardware integration.

Posted 5/3/2026full-timeMilford • Missouri • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

DjangoETLFlaskPySparkPythonReactSparkSQLTypeScript

About the role

Key responsibilities & impact

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.
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

Requirements

What you’ll need

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).

Benefits

Comp & perks

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.

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonFlaskFastAPIReactSQLDatabricksPySparkDelta LakeETLELT

Soft Skills

communicationmentoringcollaborationproblem-solvingincident management

Certifications

Bachelor’s degree in Computer ScienceBachelor’s degree in Software EngineeringBachelor’s degree in Data EngineeringBachelor’s degree in Engineering