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Data Protection Engineer
Data Protection EngineerInsight Global • Tampa, FL, United States
Data Protection Engineer

Data Protection Engineer

Insight Global • Tampa, FL, United States
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Job Title : Data Protection Engineer

Openings : 2

Pay Rate : $50-$80

Start Date : ASAP

Location : Hybrid, Office 1-2x week (Thursday required as team day, other day optional)

Minimum Qualifications & Experience Required

  • Bachelor’s degree in Information Security, Health Information Management, Computer Science, or related field
  • 2+ years of experience in cybersecurity, data protection, identity / access governance, or healthcare IT
  • Working knowledge of HIPAA, HITECH, and PHI / PII protection requirements
  • Hands-on experience with data loss prevention (DLP), access governance, or data classification tools
  • Ability to manage multiple projects, collaborate across IT and business teams, and drive remediation efforts
  • Excellent analytical, documentation, and communication skills

Nice To Have Qualifications & Experience

  • Experience with Varonis, Microsoft Purview Information Protection / DLP, Zscaler DLP, or similar platforms
  • Familiarity with Epic, unstructured data repositories, clinical workflows, and PHI handling practices
  • Understanding of identity & access management (IAM), least-privilege principles, and shared-drive governance
  • Certifications such as HCISPP, CISSP, GIAC GSEC, COMPTIA Security+ or CySA+, or similar
  • Day-to-Day Responsibilities

  • Perform enterprise-wide data discovery using Varonis and Purview to identify PHI, PII, confidential business data, and high-risk exposures
  • Configure and maintain data classification and labeling policies across M365 (Outlook, OneDrive, SharePoint, Teams)
  • Partner with the Patient Safety and Compliance teams to refine classification taxonomy and retention requirements
  • Identify and remediate excessive file permissions, global access, stale access, and vulnerable ACL structures
  • Work with business units and system owners to document data flows and enforce least-privilege access models and sustainable governance practices
  • Support automation workflows for secure data provisioning and permission change management
  • Implement, monitor, and tune DLP controls across Purview, Zscaler, and endpoint channels
  • Build policies for PHI / PII, financial data, research data, insider risk scenarios, and restricted data classes
  • Investigate DLP alerts, analyze user behavior, and coordinate remediation or coaching sessions
  • Develop detection rules for GenAI prompt protection, including PHI controls for ChatGPT, Copilot, Teams plugins, and browser-based AI use
  • Maintain dashboards highlighting risk reduction, high-risk data sets, permission cleanup progress, and DLP control effectiveness
  • Provide reports to leadership, Cybersecurity Governance Council, and the Architecture Review Board
  • Track metrics such as open access reduction, stale data elimination, labeling adoption, and incident trends
  • Investigate data exposure incidents, including misdirected communications, oversharing, or unauthorized access
  • Work with Legal, Compliance, and IR teams to assemble evidence, timelines, and regulatory reports
  • Identify control gaps and implement process improvements to prevent recurrence
  • Evaluate data protection risks for AI use cases (e.g., data leakage, re-identification, prompt injection)
  • Validate that AI-connected systems follow TGH’s data minimization and PHI boundary rules
  • Support readiness for audits and certification programs (HIPAA, NIST CSF, internal and external audits)
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    Data Engineer • Tampa, FL, United States

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