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Cyber Security Engineer

Job in Milwaukee, Milwaukee County, Wisconsin, 53244, USA
Listing for: MARS Solutions Group
Full Time position
Listed on 2025-12-23
Job specializations:
  • IT/Tech
    Cybersecurity, Data Security
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below

We’re seeking a senior cybersecurity engineer to design, build, and operationalize enterprise‑grade data protection capabilities anchored in Microsoft E5. You will lead engineering for Microsoft Purview (Information Protection & DLP, eDiscovery/Audit), Sensitivity Labels, and related guardrails—integrating telemetry and enforcement through Zscaler, Crowd Strike, and Splunk. This role bridges secure‑by‑default platform engineering with pragmatic automation to protect regulated data (e.g., PHI/PII) ior leadership has prioritized accelerating Copilot and E5 controls adoption, creating a high‑impact opportunity to shape how we protect data across SaaS and AI workloads.

What

You’ll Do
  • Design and implement Microsoft Purview DLP policies (endpoint, Exchange, SharePoint, One Drive, Teams) and Sensitivity Label taxonomy with automated enforcement paths.
  • Build policy‑as‑code pipelines (CI/CD) to version, test, and deploy DLP rules, label configs, and governance artifacts in multiple environments.
  • Integrate Zscaler SSE inspection with Purview controls; route events to Splunk for analytics, dashboards, and detections that close visibility and enforcement loops.
  • Leverage Crowd Strike telemetry (e.g., Falcon/Shield) to correlate endpoint behaviors with data movement signals for insider risk and exfiltration use cases.
  • Develop services and workflows (e.g., Azure Functions, Logic Apps, Graph API) to auto‑remediate mislabels, revoke risky shares, and notify data owners.
  • Implement secure‑by‑default configuration baselines and drift detection for E5 security controls (MCAS/Defender for Cloud Apps, Conditional Access, etc.).
  • Own reliability for data protection pipelines: SLIs/SLOs, runbooks, and incident playbooks in partnership with Insider Risk team.
  • Create Splunk content (data models, dashboards, correlation searches) aligned to exfiltration, anomalous access, and label violations.
  • Partner with Privacy and Compliance for audit‑ready controls (eDiscovery/Audit), evidence, and exception processes.
  • Work with PSO, IAM, and Insider Risk to align label taxonomy and enforcement with business workflows and least privilege access.
  • Provide technical leadership and mentoring for engineers/analysts rolling out new E5 features and operational support.
Required Qualifications
  • 5+ years engineering experience in enterprise security or platform engineering; hands‑on with Microsoft E5 security stack (Purview DLP, Information Protection, eDiscovery).
  • Proven expertise building policy as code for DLP/labels (Git Hub/Azure Dev Ops), and automating Graph/Power Shell administration.
  • Demonstrated ability to design secure‑by‑default guardrails and support rapid SaaS/AI adoption (including Copilot) without compromising compliance.
Nice to Have
  • Strong background in data protection for regulated data (PII/PHI), insider risk detection, and evidence‑driven investigations.
  • Production experience with Zscaler (SSE/ZIA/ZPA), Crowd Strike (Falcon APIs/telemetry), and Splunk (TA configs, CIM, correlation searches).
  • Experience migrating from legacy DLP (e.g., Forcepoint) to Microsoft DLP; building vendor‑neutral dictionaries and detection logic.
  • Familiarity with MCAS/Defender for Cloud Apps, conditional‑access policies, and SSPM evaluations.
  • Background in HIPAA/PHI audit support and exception governance workflows.
Success Metrics (first 6–12 months)
  • DLP policy efficacy: reduction in unauthorized shares/exports; mean time to remediate violations.
  • Label coverage & accuracy: percentage of sensitive content labelled; false‑positive/negative rate trends.
  • Telemetry integration: end‑to‑end event flow (Purview → Zscaler/Crowd Strike → Splunk) with actionable detections.
  • Secure‑by‑default adoption: number of guardrails implemented; drift detected/resolved;
    Copilot controls baselined.
  • Audit readiness: evidence completeness for eDiscovery/Audit; exception closure rates.
  • Data flows:
    Exchange/SharePoint/One Drive/Slack, endpoints, web proxies, CASB/SSE.
Seniority Level

Mid‑Senior level

Employment Type

Contract

Job Function

Information Technology

Industries

Business Consulting and Services

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