Manufacturing Cybersecurity Data Engineer

generalmotors; Warren (MI); Hybrid; USD 115,000 - 150,000; Full time

Job summary

General Motors is seeking a Manufacturing Cybersecurity Engineer to build and operate data foundations for OT cyber-risk visibility across GM manufacturing. You will create and manage data ingestion and ETL pipelines, consolidate vulnerability, asset, and security telemetry, and deliver actionable insights via Power BI dashboards.

The role is hands-on, hybrid, and requires collaboration across cybersecurity, manufacturing, and data teams to prioritize remediation without disrupting production.

Qualifications

• Bachelor’s degree or equivalent experience in a related field.
• 3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, or a related field.
• Hands-on experience building and supporting production data pipelines using Python, SQL, ETL, or data-ingestion technologies.
• Experience integrating data from multiple enterprise, plant, cybersecurity, or OT sources and diagnosing data-quality issues.

Responsibilities

• Design, develop, operate, and maintain dependable data ingestion and ETL pipelines consolidating 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, monitoring, and troubleshooting procedures to improve data completeness, accuracy, and timeliness.
• Identify and report OT cybersecurity risks and vulnerabilities across plant systems and networks to support remediation planning.
• Develop and maintain Power BI dashboards and visualizations communicating exposure, trends, and remediation progress.
• Translate complex technical data into clear insights for plant teams and stakeholders.
• Collaborate with cybersecurity, manufacturing, and data teams to define requirements and deliver cross-functional solutions.

Skills

Python

SQL

ETL

Data pipelines

Data quality

Cybersecurity basics

Education

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, or related field

Tools

Databricks

Delta Lake

Spark

Power BI

Job description

Job Description

General Motors is transforming the future of mobility while operating one of the world’s most complex manufacturing environments. The Manufacturing Cybersecurity team helps protect the technology, systems, and data that keep GM plants safe, resilient, and productive.

The Role

As a Manufacturing Cybersecurity Engineer, you’ll build and operate the data foundation that enables OT cyber-risk visibility across GM manufacturing. You’ll develop reliable data-ingestion and ETL solutions that consolidate vulnerability, asset, configuration, and security telemetry from plant systems, cybersecurity tools, enterprise platforms, and other sources into the Databricks Lakehouse Platform. Using Python, SQL, scripting, and data-quality practices, you’ll transform, validate, monitor, and troubleshoot pipelines, then translate complex technical data into actionable insights through Power BI or similar dashboards and reports.

This is a hands-on Level 6 individual contributor role. You’ll exercise independent judgment to resolve non-routine data and cybersecurity problems, propose process improvements, and coordinate delivery across cybersecurity, manufacturing, plant, data engineering, and technology stakeholders. Your work will help plant teams prioritize remediation, reduce OT exposure, and make informed decisions without disrupting production.

What You’ll Do

• 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.




• Partner with cybersecurity, manufacturing engineering, plant operations, data engineering, and technology teams to define requirements, resolve data issues, and deliver cross-functional solutions.




• Document data sources, data models, pipeline logic, controls, lineage, operating procedures, and troubleshooting guidance in a clear and maintainable format.




• Automate repeatable data preparation, analysis, and reporting processes while applying appropriate security, privacy, access-control, and data-governance practices.




• Propose and deliver process improvements that increase visibility, reduce manual effort, improve reporting consistency, and strengthen OT vulnerability management.




• Communicate status, risks, dependencies, findings, and recommendations clearly; follow issues through resolution and elevate potential impacts early.

Your Skills & Abilities (Required Qualifications)

• Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Data Engineering, Engineering, or a related field, or equivalent relevant experience.




• 3+ years of professional experience in cybersecurity, data engineering, analytics, software engineering, manufacturing technology, or a related field.




• Hands-on experience developing and supporting production data pipelines using Python, SQL, scripting, ETL, or data-ingestion technologies.




• Experience integrating and validating data from multiple enterprise, plant, cybersecurity, or operational technology sources, with the ability to diagnose data-quality and pipeline issues.




• Experience with OT or industrial control system cybersecurity, vulnerability management, asset inventory, security telemetry, or cyber-risk reporting.




• Ability to work independently, exercise sound judgment, and resolve non-routine data and cybersecurity problems in a complex environment.




• Ability to communicate technical findings clearly and collaborate effectively with cybersecurity, manufacturing, plant, data engineering, and technology stakeholders.

What Can Give You A Competitive Advantage (Preferred Qualifications)

• Experience with Databricks, Delta Lake, Spark, cloud data platforms, Lakehouse architecture, or similar technologies.




• Experience developing Power BI or similar dashboards, reports, metrics, and visualizations for technical, operational, or executive audiences.




• Experience working in a manufacturing, plant, industrial automation, or other operational technology environment.




• Familiarity with PLCs, HMIs, SCADA, industrial networks, or comparable systems.




• Knowledge of data-governance practices, including data ownership, metadata, lineage, access controls, retention, quality standards, and documentation.




• Familiarity with cybersecurity risk‑management principles and frameworks such as the NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002.

#LI-SB3

GM does not provide immigration‑related sponsorship for this role. Do not apply for this role if you will need GM immigration sponsorship now or in the future. This includes direct company sponsorship, entry of GM as the immigration employer of record on a government form, and any work authorization requiring a written submission or other immigration support from the company (e.g., H1-B, OPT, STEM OPT, CPT, TN, J-1, etc).This role is categorized as hybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week {or other frequency dictated by their manager}.This job may be eligible for relocation benefits.

About GM

Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.

Why Join Us

We believe we all must make a choice every day – individually and collectively – to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee to feel they belong to one General Motors team.

Benefits Overview

From day one, we’re looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.

Non-Discrimination and Equal Employment Opportunities (U.S.)

General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.

All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, national origin, citizenship status, religion, age, disability, pregnancy or maternity status, sexual orientation, gender identity, status as a veteran or protected veteran, or any other similarly protected status in accordance with federal, state and local laws.

Accommodations

General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us or call us at 1-800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.