Industrial OT Cybersecurity Data Engineer

General Motors; Warren (MI); On-site; USD 110,000 - 150,000; Full time

Job summary

General Motors is seeking a Manufacturing Cybersecurity Engineer to build and operate data pipelines that unify OT vulnerability, asset, and cyber-risk information from plant systems into a Databricks Lakehouse. You’ll translate complex data into actionable insights via dashboards and reports for leadership and operations.

The role is hands-on (Level 6) and requires independent judgment to resolve non-routine problems, collaborating with cybersecurity, manufacturing, and data teams to reduce OT

Qualifications

• Bachelor’s degree or equivalent experience in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or related field.
• 3+ years in cybersecurity, data engineering, analytics, software engineering, manufacturing tech, or related field.
• Hands-on experience building and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.

Responsibilities

• Design, develop, operate, and maintain dependable data ingestion and ETL pipelines that consolidate OT vulnerability, asset, configuration, and cyber-risk data from multiple sources.
• Develop Python, SQL, and scripting solutions for data extraction, transformation, validation, enrichment, automation, and analysis.
• Establish data-quality checks, reconciliation routines, monitoring, alerting, and troubleshooting procedures that improve data completeness, accuracy, timeliness, and reliability.
• Identify, assess, track, and report OT cybersecurity risks and vulnerabilities across plant systems and networks, supporting risk-based prioritization and remediation planning.
• Develop and maintain Power BI or similar dashboards, reports, metrics, and visualizations that communicate exposure, trends, control coverage, remediation progress, and operational performance.
• Translate complex technical and security data into clear insights and recommendations for plant teams, cybersecurity stakeholders, manufacturing leadership, and technology partners.

Skills

Python

SQL

ETL

Data ingestion

Data pipelines

Cybersecurity

Communication

Education

Bachelor’s degree

Tools

Databricks

Power BI

Delta Lake

Spark

Job description

General Motors is seeking a Manufacturing Cybersecurity Engineer to build and operate data pipelines that unify OT vulnerability, asset, and cyber-risk information from plant systems into a Databricks Lakehouse. You’ll translate complex data into actionable insights via dashboards and reports for leadership and operations.

The role is hands-on (Level 6) and requires independent judgment to resolve non-routine problems, collaborating with cybersecurity, manufacturing, and data teams to reduce OT