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Cybersecurity Data Engineer Jobs in Michigan (NOW HIRING)

... data and ensure privacy, security, and integrity. * Collaborate with DevOps teams to integrate ... Lead cyber security education and simulated phishing tests * Evaluate and manage third-party vendor ...

... data and ensure privacy, security, and integrity. * Collaborate with DevOps teams to integrate ... Lead cyber security education and simulated phishing tests * Evaluate and manage third-party vendor ...

... data and ensure privacy, security, and integrity. * Collaborate with DevOps teams to integrate ... Lead cyber security education and simulated phishing tests * Evaluate and manage third-party vendor ...

... data and ensure privacy, security, and integrity. * Collaborate with DevOps teams to integrate ... Lead cyber security education and simulated phishing tests * Evaluate and manage third-party vendor ...

The Senior Director of Data Analytics & AI Engineering leads a major function within OhioHealth ... Partner with cybersecurity, privacy, and compliance leaders to embed security, regulatory, and ...

Mechanical Engineer

Novi, MI · On-site

$45 - $65/hr

Whether you're hiring for software development, cloud computing, cybersecurity, data analytics, or engineering, our customized staffing solutions are designed to align with your company's unique ...

Yazaki is a global leader in the research, development, and delivery of vehicle power and data ... Yazaki is looking for an Identity & Access Management (IAM) Architect to join our Cybersecurity ...

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Cybersecurity Data Engineer information

What does a Cybersecurity Data Engineer do?

A Cybersecurity Data Engineer is responsible for designing, building, and maintaining systems that collect, process, and analyze security-related data. Their main goal is to help organizations detect and respond to cyber threats by ensuring that data pipelines and storage solutions are secure and efficient. They often work with large datasets, security tools, and machine learning algorithms to identify vulnerabilities and unusual activity. Additionally, they collaborate with other IT and security professionals to implement best practices and enhance overall cybersecurity posture.

What are the key skills and qualifications needed to thrive as a Cybersecurity Data Engineer, and why are they important?

To thrive as a Cybersecurity Data Engineer, you need strong skills in data engineering, cybersecurity best practices, and programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with security information and event management (SIEM) systems, big data tools like Hadoop or Spark, and certifications such as CISSP or CEH are highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for designing secure data pipelines, detecting threats, and ensuring organizational data integrity.

What is the difference between Cybersecurity Data Engineer vs Cybersecurity Analyst?

AspectCybersecurity Data EngineerCybersecurity Analyst
Required CertificationsCompTIA Security+, CISSP, CEHCompTIA Security+, CISSP, CEH
Work EnvironmentData-focused, engineering teams, IT departmentsSecurity operations centers, incident response teams
Employer & Industry UsageTech companies, finance, healthcareGovernment agencies, corporations, cybersecurity firms
Common Search & ComparisonYesYes

While both roles require cybersecurity certifications and work within security-focused environments, Cybersecurity Data Engineers primarily develop and manage data infrastructure for security analytics, whereas Cybersecurity Analysts focus on monitoring, threat detection, and incident response. Understanding these differences helps organizations assign the right skills to their security teams.

How does a Cybersecurity Data Engineer typically collaborate with security analysts and IT teams?

Cybersecurity Data Engineers work closely with security analysts and IT teams to design, implement, and maintain data pipelines that support threat detection and incident response. They collaborate by integrating various data sources, ensuring data quality, and providing timely access to relevant information for analysis. Frequent communication and regular meetings are common to align on project requirements, prioritize tasks, and troubleshoot issues together. This collaborative approach ensures that security teams have the accurate, actionable data they need to protect organizational assets effectively.
What are popular job titles related to Cybersecurity Data Engineer jobs in Michigan? For Cybersecurity Data Engineer jobs in Michigan, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Michigan look for? The top searched job categories for Cybersecurity Data Engineer jobs in Michigan are:
What cities in Michigan are hiring for Cybersecurity Data Engineer jobs? Cities in Michigan with the most Cybersecurity Data Engineer job openings:
Data Visualization Engineer - Advanced Engineering

Data Visualization Engineer - Advanced Engineering

Dice

Kalamazoo, MI • On-site

$108K - $130K/yr

Full-time

Posted 10 days ago


Job description

Job Summary:
Kaiser Aluminum is known around the world for its superior quality, and they are seeking a Manufacturing Data Visualization Engineer to join their Advanced Engineering team. This role focuses on improving operational performance by creating clear and practical visualizations of manufacturing data to support decision-making across the value stream.
Responsibilities:
• Design, develop, and maintain standard dashboards that clearly communicate equipment status, process conditions, production progress, quality indicators, and constraints in a near real-time format
• Translate plant operating needs into intuitive visual elements (e.g., status states, trends, thresholds, alerts, control limits, and "at-a-glance" health indicators)
• Partners with operations leaders and subject matter experts to define standard visualization patterns (e.g., common layouts, naming, color conventions, alarm prioritization, and KPI definitions) to drive consistent interpretation across manufacturing lines and shifts
• Implement visual management tools for daily management routines (shift handoff, tier meetings, performance boards, escalation cues, action tracking)
• Build and support standardized reporting and visualization for KPIs such as OEE components, throughput, downtime categorization, yield/scrap, rework, cycle time, schedule attainment, and other plant-defined metrics
• Collaborate on visualization design such that existing best practices are reused
• Develop reusable visualization components and templates so new areas/lines can be enabled quickly with minimal custom development
• Develop and maintain data access utilities and curated interfaces (e.g., standardized queries, semantic layers, pre-defined extracts, governed KPI definitions) that allow users to retrieve the right information without needing deep technical skills
• Collaborate with data engineering / OT / IT resources to ensure visualization tools are built on trusted, governed data sources while minimizing duplication or manual workarounds
• Provide documentation, training, and user guidance to support adoption and sustained use of visualization tools
• Ensure dashboards and visualization tools are reliable, performant, and maintainable (version control, change management, release notes)
• Maintain alignment with cybersecurity, access control, and data governance requirements
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Qualifications:
Required:
• Bachelor's degree in Software Engineering, Computer Science, Industrial Engineering, or related discipline; or equivalent experience
• Five years' visualization development experience, preferably in manufacturing or industrial settings
• Minimum three to five (3-5) years of experience working with process engineers/business analysts to translate functional requirements into technical requirements and making architectural decisions
• Competent with T-SQL and database theory and structures
• Basic knowledge in networking and client-server transactions
• Broad contemporary understanding of information technologies and trends
• Demonstrated experience with MBSE and documentation, sysML or like
• Strong communications skills with ability to clearly articulate, collaborate and substantiate recommendations with team and illustrate and propose design concepts prior to software construction
• Ability to produce high quality, well documented, thoroughly tested, and efficient applications and reports
• Ability to work incrementally and comfortable with collaboration and peer review
• Use Software Development Lifecycle (SDLC) to incrementally evolve a system in phases
• Proven ability to manage concurrent development tasks
• Excellent problem solving, investigative, experimental, and statistical analysis skills
• Strong working knowledge of data structures and querying (e.g., SQL, time-series concepts), with the ability to work effectively with historians and operational datasets
• Ability to translate ambiguous user needs into clear visualization requirements, then deliver usable tools in iterative releases
Preferred:
• Manufacturing experience is a plus.
• Exposure to Digital Twins a plus.
Company:
Dice is the go-to career marketplace for tech professionals. Founded in 2010, the company is headquartered in Drachten, NLD, with a team of 201-500 employees. The company is currently Growth Stage.