Vehicle Dynamics Simulation Engineer

Jobtailor; Missouri; On-site; USD 110,000 - 140,000; Full time

Job summary

Jobtailor is seeking a data workflow engineer to create and enhance end-to-end simulation data workflows. You will automate data generation, storage, and analysis, ensuring traceability and quality across complex engineering datasets.

In this role, you will leverage GitHub, GitHub Actions, Databricks, and SQL-based tools to deliver repeatable, scalable pipelines and partner with simulation engineers to drive data-driven decision making.

Qualifications

• Bachelor’s degree in a technical field is required.
• 5+ years experience supporting CAE, simulation, or engineering data workflows.
• Experience in workflow automation, data processing, or tool development for engineering 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.

Responsibilities

• 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 end-to-end workflows.
• Standardize data structures, metadata, documentation, and best practices to improve speed and reliability.
• Drive cultural change toward data-driven, automated simulation workflows through example implementations, training, and ongoing guidance.

Skills

Workflow Automation

Data Processing

GitHub Actions

Databricks

SQL

Education

Bachelor’s degree in Computer Science, Data Engineering, Software Engineering, Applied Mathematics, Statistics, Mechanical Engineering, Aerospace Engineering, or a related technical field

Tools

GitHub

GitHub Actions

Databricks

SQL-Based Tools

Job description

• 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

• 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

Core Competencies

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 Automation
• Data Processing
• GitHub Actions
• Databricks
• SQL

ATS Optimization Keywords

Hard Skills

• Simulation Data Generation
• Data Analysis
• Data Quality Checks
• Scripting for Workflow Automation
• Structured Data Management

Soft Skills

• Problem-Solving
• Analytical Skills
• Communication
• Cross-Functional Collaboration

Industry Keywords

• CAE
• Engineering Data Workflows
• Simulation
• Technical Software

Tools & Technologies

• GitHub
• GitHub Actions
• Databricks
• SQL-Based Tools