General Motors · 13 hours ago
Analytics Automation Engineer (Python/Databricks)
Warren, MI
Full-time
Hybrid
Mid LevelGeneral Motors is a leader in the automotive industry aiming for a world with Zero Crashes, Zero Emissions, and Zero Congestion. They are seeking an Analytics Automation Engineer to develop Python and Databricks tools that enhance the efficiency and reliability of analytics workflows while collaborating with safety stakeholders to automate processes and improve data quality.
AutomotiveElectric VehicleInformation ServicesManufacturingTransportation
No H1B
U.S. Citizen Only
Responsibilities
Map end-to-end workflows with stakeholders, identify and prioritize automation opportunities (AI, APIs, logic-based automation), quantify impact, and maintain a backlog of improvements
Build and maintain Python tools in Databricks notebooks that replace manual processes end-to-end, including reusable templates and clear documentation/runbooks
Enable and troubleshoot AI-assisted unstructured text classification workflows (AI Query, AI agents, and related tools), improve reliability and consistency, and implement agent-based automation where appropriate
Drive data quality and reliability across data flows, including deduplication, special character and encoding cleanup, file splitting, exports/uploads, performance tuning, and repeatable validation checks
Build and maintain Excel automation for workflows that remain Excel-based (macros and VBA preferred)
Create standardized charts and outputs produced by your tools and notebooks so stakeholders can interpret trends and act quickly
Optional: publish dashboards and self-serve reporting (Power BI or Tableau) when helpful
Qualification
Required
Strong Python coding ability (debugging, writing maintainable code, building tools)
Experience using Databricks (or similar notebook-based platform) and strong SQL skills
Demonstrated ability to build tools and workflows end-to-end and improve underperforming solutions
Practical experience fixing messy data workflow issues (deduplication, text cleaning, special characters/encoding, unstructured text handling, file handling)
Experience applying AI to real workflows (for example unstructured text classification, extraction, summarization, or decision support), including basic quality and reliability practices
Ability to take ambiguous requests and deliver working, documented solutions with minimal supervision
Strong communication skills with non-technical partners (clear expectations, status, tradeoffs, and handoffs)
Strong organizational skills and ability to prioritize multiple tasks without sacrificing quality
Preferred
Hands-on Excel automation using VBA/macros
Experience with AI and LLM workflows for text classification (prompt patterns, evaluation, consistency improvements, guardrails)
Experience implementing AI agents and workflow automation using enterprise AI tools and/or internal agent frameworks
Experience improving AI workflow quality and stability (prompt patterns, evaluation/spot-checking, consistency improvements, guardrails, human-in-the-loop patterns)
Experience implementing workflow automation using APIs and/or agent frameworks and enterprise AI tools
Familiarity with Spark concepts, job scheduling, Git/version control, and basic testing practices
Background in analytics engineering and data enablement practices (standards, reusable datasets, data quality checks)
Optional BI experience (Power BI/Tableau)
Optional: experience creating and maintaining data pipeline architecture and assembling large, complex datasets that meet business requirements
Company
General Motors
General Motors is an automotive company that designs, produces, markets, and distributes vehicles and vehicle parts.
Founded in 1908
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$8.51BKey Investors
US Department of Energy
2025-05-05Post Ipo Debt· $2B
2024-10-31Grant· $8M
2024-07-11Grant· $500M
Leadership Team
Mary Barra
Chair and Chief Executive Officer
Tony Cervone
Senior Vice President, Global Communications
Recent News
2026-01-24
Mexico Business
2026-01-23
Company data provided by crunchbase