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Cybersecurity Data Engineer Jobs in Milwaukee, WI

Milwaukee Tool

Controls Engineer

Menomonee Falls, WI · On-site

$83K - $108K/yr

This role partners with engineering, manufacturing, quality, IT, analytics, suppliers, and global ... IT and Data & Analytics to define scalable infrastructure, networking, cybersecurity, and ...

Deloitte

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109K - $147K/yr

Cyber Data Protection Manager Are you passionate about helping leading organizations reduce cyber ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

Fiserv, Inc.

Senior Director DevOps

Milwaukee, WI · On-site

$128K - $164K/yr

Maintain and support the on-prem DataHub multi-petabyte data lake. Lead the team to automate ... E teams including analysts and managers; 6 years working with infrastructure, cyber security and ...

Fortinet, Inc.

Enterprise Sales Engineer

Milwaukee, WI · On-site

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape ... At Fortinet, our mission is to safeguard people, devices, and data everywhere. We are currently ...

Fortinet

Enterprise Sales Engineer

Milwaukee, WI · On-site

Join Fortinet, a cybersecurity pioneer with over two decades of excellence, as we continue to shape ... At Fortinet, our mission is to safeguard people, devices, and data everywhere. We are currently ...

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All JobsCybersecurity Data Engineer JobsCybersecurity Data Engineer Jobs in Milwaukee, WI

Cybersecurity Data Engineer information

See Milwaukee, WI salary details

$43.8K

$127.8K

$174.9K

How much do cybersecurity data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for cybersecurity data engineer in Milwaukee, WI is $127,802.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $135,500.00 per year, depending on experience, location, and employer.

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?

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 Milwaukee, WI? For Cybersecurity Data Engineer jobs in Milwaukee, WI, the most frequently searched job titles are:
What job categories do people searching Cybersecurity Data Engineer jobs in Milwaukee, WI look for? The top searched job categories for Cybersecurity Data Engineer jobs in Milwaukee, WI are:
What cities near Milwaukee, WI are hiring for Cybersecurity Data Engineer jobs? Cities near Milwaukee, WI with the most Cybersecurity Data Engineer job openings:
Cybersecurity Data Engineer jobs near you

Controls Engineer

Milwaukee Tool

Menomonee Falls, WI • On-site

$83K - $108K/yr

Full-time

Re-posted 16 days ago

Job description

Job Description:
INNOVATE WITHOUT BOUNDARIES! At Milwaukee Tool, our people and culture drive our success. The Front End Manufacturing Technology team within Hand Tools develops and deploys next-generation manufacturing capabilities in automation, controls, connected equipment, data systems, machine learning, and AI-enabled manufacturing. This role partners with engineering, manufacturing, quality, IT, analytics, suppliers, and global sites to turn emerging technologies into scalable, reliable, high-impact solutions.
Manufacturing Process, Controls & Emerging Technology:
  • Evaluate, pilot, and implement advanced manufacturing, Industry 4.0, AI/ML, robotics, vision, sensor, and connected-equipment technologies that improve cost, quality, throughput, safety, flexibility, and speed to market.
  • Partner with AME, IT, Data & Analytics, Quality, operations, suppliers, and integrators to develop practical process, controls, data, and quality solutions.
  • Apply automation and process knowledge across assembly, welding, part handling, material feeding, machine vision, robotics, motion control, and related production technologies.
  • Specify, integrate, debug, commission, and support automation systems including PLCs, HMIs, drives, robots, vision, sensors, safety devices, laser systems, and material handling equipment.
  • Use simulation, digital twins, virtual commissioning, machine data, and structured prototyping to de-risk equipment, accelerate learning, and optimize process performance.
  • Define equipment specifications, review concepts and controls architecture, and ensure internal and supplier-built equipment meets Milwaukee Tool standards and industry best practices.

Digital & Data Systems:
  • Develop Python scripts and applications for automation, data processing, equipment connectivity, and manufacturing analytics.
  • Collaborate with IT and Data & Analytics to define scalable infrastructure, networking, cybersecurity, and architecture for connected manufacturing assets.
  • Support OPC-UA, MQTT, SQL, APIs, data historians, edge devices, and related technologies for data collection, integration, visualization, and traceability.
  • Build data pipelines from machine controls to enterprise systems for SPC, dashboards, process control, capability analysis, and engineering insight.
  • Translate machine data into control plans, closed-loop feedback opportunities, predictive quality models, and data-driven manufacturing decisions.

Project Management Skills:
  • Lead manufacturing technology projects by providing technical direction, engineering expertise, and cross-functional coordination.
  • Communicate status, risks, technical decisions, recommendations, and resource needs through clear written updates, visuals, and presentations.
  • Develop cost models, capability assessments, throughput analysis, risk assessments, and what-if scenarios to support investment and project decisions.
  • Justify automation, digital manufacturing, and advanced technology investments using cost, quality, capability, throughput, safety, and scalability considerations.
  • Drive milestone delivery, challenge the status quo, and align global and site teams on deployable, supportable, and sustainable solutions.

Other Requirements:
  • Ability to travel domestically and internationally for supplier, machine, technology, and concept evaluations; estimated travel is 10%.
  • Ability to support execution and alignment across manufacturing sites.
  • Ability to learn new technical material quickly and apply it in hands-on engineering environments.
  • Ability to work directly with equipment, controls, data systems, and manufacturing teams during development, launch, and support.

Education and Experience Requirements:
  • Bachelor's degree in Mechanical, Electrical, Manufacturing, Computer Engineering, or a related discipline.
  • 2 or more years of experience in machine controls, automation design, programming, integration, and commissioning, preferably with custom equipment.
  • Demonstrated experience with PLC/HMI programming, industrial automation, controls integration, and machine commissioning.
  • Preferred experience with Industry 4.0, connected equipment, smart manufacturing, data analytics, Python, AI/ML concepts, or statistical process improvement.
  • Preferred experience with industrial networking, edge computing, cloud-connected systems, historians, SQL, APIs, OPC-UA, MQTT, robotics, vision, motion control, safety systems, laser marking/welding, and assembly automation.
  • Working knowledge of IT infrastructure, industrial connectivity, cybersecurity, machine safety practices, and standards such as NFPA 70/79, UL 508, and CE.
  • Advanced skills with Microsoft Office, Microsoft Project, Power BI, Visio, or similar project management and visualization tools preferred.

Milwaukee Tool is an equal opportunity employer.

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