Manufacturing Cybersecurity Data Engineer

Posted 17 Hours Ago
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Warren, MI, USA
Hybrid
Mid level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
We make amazing products people love, for every journey.
The Role
Build and operate ETL and data-ingestion pipelines consolidating OT cybersecurity data into Databricks. Develop Python and SQL solutions, data-quality controls, monitoring, and automation; analyze vulnerabilities and cyber risks; and create Power BI dashboards supporting remediation prioritization. Collaborate with cybersecurity, manufacturing, plant, and data engineering teams, document data processes, and improve OT vulnerability-management visibility and reporting.
Summary Generated by Built In
Description
The Role
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.
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 escalate 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.
Total Rewards | 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.
We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire.
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 [email protected] 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.

Skills Required

  • 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
  • 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
  • Ability to communicate technical findings clearly and collaborate effectively with cross-functional stakeholders
  • 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
  • Experience working in a manufacturing, plant, industrial automation, or 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 NIST Cybersecurity Framework, NIST SP 800-53, or ISO/IEC 27001/27002

What the Team is Saying

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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all. Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

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