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General Motors

Vehicle Dynamics Simulation Engineer

General Motors

Simulation Data Engineer at General Motors creating and implementing strategic vision for simulation data workflows. Collaborating with teams to enhance data generation and automation processes.

Posted 7/23/2026full-timeWarren • Missouri • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in creating and improving workflows for simulation data generation and analysis, with a strong focus on automation and data quality. Proficient in using tools like GitHub, Databricks, and SQL for managing datasets and driving data-driven cultural change in engineering environments.

Highest-signal resume keywords
Workflow AutomationData ProcessingGitHub ActionsDatabricksSQL

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Simulation Data GenerationData AnalysisData Quality ChecksScripting for Workflow AutomationStructured Data Management
Soft Skills
Problem-SolvingAnalytical SkillsCommunicationCross-Functional Collaboration
Tools & Technologies
GitHubGitHub ActionsDatabricksSQL-Based Tools
Industry Keywords
CAEEngineering Data WorkflowsSimulationTechnical Software

Tech Stack

Tools & technologies
SQL

About the role

Key responsibilities & impact
  • Create and improve workflows for simulation data generation, storage, traceability, analysis, and reuse
  • Build automation pipelines for simulation execution, post-processing, reporting, and data quality checks
  • Use GitHub, GitHub Actions, Databricks, and SQL-based tools to manage datasets and automate workflows
  • Partner with simulation engineers and cross-functional teams to connect models, data, and analysis into efficient end-to-end workflows
  • Standardize data structures, metadata, documentation, and best practices to improve speed, consistency, and reliability
  • Drive cultural change toward data-driven, automated simulation workflows through example implementations, training, and ongoing guidance

Requirements

What you’ll need
  • Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, Statistics, Mechanical Engineering, Aerospace Engineering, or a related technical field
  • 5+ years experience supporting CAE, simulation, or other engineering data workflows
  • Experience in workflow automation, data processing, or tool development for engineering, simulation, analytics, or technical software teams
  • Experience with GitHub, GitHub Actions or similar CI/CD tooling, and scripting for workflow automation and data analysis
  • Experience with Databricks, SQL, and structured data management
  • Strong problem-solving, analytical, communication, and cross-functional collaboration skills
  • Demonstrated ability to create, communicate, and build support for a strategic vision around simulation data workflows, automation, and engineering analytics

Benefits

Comp & perks
  • Health insurance
  • Retirement plans
  • Paid time off
  • Flexible work arrangements
  • Professional development opportunities