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Cybersecurity Data Engineer Jobs in Madison, WI (NOW HIRING)

Certified Cloud Architect

Madison, WI · On-site

$65.50 - $83.50/hr

Request for Services (RFS Cybersecurity AI Implementation for Accelerated Exposure Reduction Time ... Execute a hands-on knowledge transfer model, co-engineering data pipelines and security automation ...

Chief Technology Officer

Madison, WI · On-site

$270 - $330/hr

This is a unique opportunity to drive technological innovation--from AI and automation to data ... Support the CIO in establishing and maintaining best-in-class cybersecurity, risk management, and ...

New

... engineered control panels, SCADA and telemetry systems, control panel fabrication, systems ... Understanding of IT/OT network segmentation and cybersecurity best practices * Experience with ...

... engineered control panels, SCADA and telemetry systems, control panel fabrication, systems ... Understanding of IT/OT network segmentation and cybersecurity best practices * Experience with ...

Working closely with a Sales Engineer and ensuring their time is used optimally. Do what you love ... Have experience in digital cybersecurity, API Security, API Gateway and Cloud Service Providers.

Showing results 41-49

Cybersecurity Data Engineer information

See Madison, WI salary details

$44.8K

$130.7K

$178.9K

How much do cybersecurity data engineer jobs pay per year?

As of Aug 6, 2026, the average yearly pay for cybersecurity data engineer in Madison, WI is $130,706.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,400.00 and $138,500.00 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 Madison, WI? For Cybersecurity Data Engineer jobs in Madison, WI, the most frequently searched job titles are:
What cities near Madison, WI are hiring for Cybersecurity Data Engineer jobs? Cities near Madison, WI with the most Cybersecurity Data Engineer job openings:
Infographic showing various Cybersecurity Data Engineer job openings in Madison, WI as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $130,706 per year, or $62.8 per hour.

Certified Cloud Architect

Digitek Software, Inc.

Madison, WI • On-site

$65.50 - $83.50/hr

Other

This job post has expired today. Applications are no longer accepted.


Job description

On of our clients is looking for Certified Cloud Architect based  on following skills:

The State of Wisconsin is looking for one (1) Certified Cloud Architect (no certification is required for this role)

Objective: To build long-term internal capabilities while operationalizing and enforcing the State’s newly updated Flaw Remediation (SI-2) Standard. This initiative transitions the State from reactive, manual vulnerability management to an AI-accelerated, continuous authorization, and automated DevSecOps posture.

Top Required Skills & Years of Experience:

Must be able to demonstrate prior experience doing the following in a large/complex environment:

·         Proven experience serving as a trusted technical advisor to CISOs, CIOs, or senior executive leaders within public sector or heavily federated enterprise environments.

·         Documented success as a technical mentor, trainer, or engineering lead focused on pair-engineering and technical upskilling of infrastructure and security operations staff.

·         Comprehensive expertise operationalizing security controls, including tiering models, compensating control validation, and time bound risk governance structures.

·         Enterprise cyber stack Google Threat Intel or VirusTotal, Google SecOps, Mandiant ASM, Tenable.io, Microsoft Azure Arc, GitHub, GitHub Advanced Security, Ansible Tower, and Gemini/Anthropic AI security frameworks.

·         -Cloud Architecture & DevSecOps Engineering

Nice to have Skills:

·         Federated/Government environment

·         Tech Stack to include: Google, Microsoft, AWS, Splunk

Onsite or Remote: Candidate MUST be a WI resident or willing to relocate to WI prior to starting the role at their own expense. This position can work 100% remote with occasional onsite visits 1-2 times required throughout the duration of the contract.

Request for Services (RFS

Cybersecurity AI Implementation for Accelerated Exposure Reduction

Time & Materials (One-Time Initiative) ~1,800 Hours over 12 Months

1. Purpose and Objective

The State of Wisconsin, Department of Administration (DOA), Division of Enterprise Technology (DET), Bureau of Security (BOS) requires an expert senior technical leader and engineer to serve as a strategic advisor to the CISO and drive the statewide implementation of the Accelerated Exposure Reduction Plan.

This role balances high-level strategic advisory with hands on engineering, operating on a teach-by-doing knowledge transfer model. The primary objective is to build long-term internal capabilities while operationalizing and enforcing the State''''s newly updated Flaw Remediation (SI-2) Standard. This initiative transitions the State from reactive, manual vulnerability management to an AI-accelerated, continuous authorization, and automated DevSecOps posture.

2. Scope

The consultant shall perform hands-on engineering, deliver strategic CISO advisory, and provide direct mentoring across the following core operational pillars:

2.1 CISO Strategic Advisory and Engineering

  • Act as a direct technical advisor to the CISO, translating federal mandates, emerging AI threat models, and architectural gaps into actionable enterprise security directives.
  • Execute a hands-on knowledge transfer model, co-engineering data pipelines and security automation alongside internal DET staff to institutionalize elite technical skills.
  • Deliver real time training and co-develop automation playbooks within the security operations (SecOps) using live demonstration approach.

2.2 Flaw Remediation (SI-2) Standard Operationalization

  • Tier Optimization & Enforcement: Architect automated tracking, logging, and validation mechanisms to implement compliance with the State’s updated SI-2 timeframes:
  • Tier 1 (Highest Urgency): Ensure all public-facing vulnerabilities, CISA KEV listings, active exploits, and identity/privileged system flaws implement approved mitigations or compensating controls within 24 hours, with full remediation closed inside 7 calendar days.
  • Tier 2 (High-Risk/Internal): Configure alerting and metric reporting to validate mitigation within 48 hours and full remediation within 15 calendar days.
  • Tier 3 (Moderate/Low): Establish repeatable monthly scheduling to ensure remediation within 30 calendar days.
  • Clean Deployment Architectures: Partner with agency development teams to pivot away from manual, in-place patching. Author and implement automated templates for clean deployments using virtualized system images, containers, and cloud-native configurations.
  • DevSecOps Integration: Embed secure builds, automated software testing, code scanning, and dependency updates natively into agency deployment pipelines.

2.3 AI Capability Deployment & Toolchain Integration

  • Operationalize Gemini Government and Google Codemender or equivalent directly inside active workflows, showing security analysts and application developers how to leverage generative AI to automate log parsing, threat hunting, and source-code remediation.
  • Engineer automated data pipelines to feed the centralized enterprise platform (incorporating telemetry from Tenable.io, Google Mandiant ASM, Microsoft Azure Arc, Splunk, and Google SecOps) to maintain a single, authoritative pane of glass.
  • Ensure all AI-assisted capabilities comply strictly with State privacy, data classification, and logging safeguards, preventing non-public vulnerability metrics from leaking into unvetted environments.

2.4 Governance Safeguards & Escalation Automation

  • Build automated low-code workflows to manage the SI-2 time-bound exception lifecycle, ensuring every granted exception maps back to a named owner, specific compensating controls, and an explicit financial tiedown capturing technical debt.
  • Configure automated alert thresholds and workflow routing for significant business risks that exceed normal management tolerance, ensuring rapid escalation in line with the SI-2 update.

3. Project Timeline

Project

Description

Target Schedule

1: SI-2 Baseline & Architecture Alignment

Mapping of all automated data feeds (Tenable, Mandiant, Azure Arc) into the single authoritative platform, aligned to track Tier 1, 2, and 3 findings.

Day 30

2: Co-Engineered AI Playbooks

Delivery of production-ready LLM and Frontier Cyber model runbooks and prompt libraries, co-developed with internal staff via hands-on mentoring.

Day 45

3: Automated Exception & Escalation Engine

Implementation of automated workflow paths for time-bound exceptions, financial tiedowns, and high-risk executive escalation paths.

Day 60

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