Data Security Engineer

Genworth

Data Security Engineer at Genworth responsible for protecting sensitive enterprise data and managing data security platforms. Collaborating with stakeholders to improve data protection strategies and outcomes.

Posted 6/16/2026full-timeRichmond • Virginia • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

CloudCyber SecurityKubernetesLinux

About the role

Key responsibilities & impact

Own day-to-day operation of data security platforms
Perform onboarding of new data sources and maintain scanning coverage across environments
Continuously tune classification rules and validation processes to improve accuracy
Optimize DLP policies and enforcement mechanisms to balance protection and usability
Identify overexposed, misclassified, or unprotected sensitive data and drive remediation
Conduct analysis of data exposure risks and recommend mitigation strategies
Validate effectiveness of data protection controls (e.g., DLP, encryption, labeling)
Support data-related incident investigations and provide root cause analysis
Work with application, data, cloud, and business teams to improve data protection outcomes
Guide stakeholders on data classification, labeling, and handling best practices
Participate in working groups and governance forums to align on data security strategy
Coordinate with SOC, Identity, and Privacy teams for integrated security operations
Identify opportunities to automate data discovery, classification, and response workflows
Improve operational processes for onboarding, tuning, and governance
Stay current on evolving risks (e.g., insider threat, data leakage, AI/data misuse)
Contribute to improvements in enterprise data security strategy and roadmap
Support adoption of new capabilities related to data security and privacy

Requirements

What you’ll need

Bachelor’s degree in Cybersecurity, Computer Science, Information Systems
3 years of experience in data security, cybersecurity, or related domain
Hands-on experience with at least one:
o Data security platform (e.g., BigID, Varonis, Spirion)
o DLP solution (e.g., Microsoft Purview, Forcepoint, Symantec)
Strong understanding of:
o Data classification and governance principles
o Data protection techniques (DLP, encryption, tokenization)
o Security frameworks (NIST, ISO 27001, CIS)
Experience working in enterprise IT environments (cloud, endpoint, SaaS)
Familiarity with Linux and Kubernetes environments

Benefits

Comp & perks

Competitive Compensation & Total Rewards Incentives
Comprehensive Healthcare Coverage
Multiple 401(k) Savings Plan Options
Auto Enrollment in Employer-Directed Retirement Account Feature (100% employer-funded!)
Generous Paid Time Off – Including 12 Paid Holidays, Volunteer Time Off and Paid Family Leave
Disability, Life, and Long Term Care Insurance
Tuition Reimbursement, Student Loan Repayment and Training & Certification Support
Wellness support including gym membership reimbursement and Employee Assistance Program resources (work/life support, financial & legal management)
Caregiver and Mental Health Support Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data securitycybersecuritydata classificationdata governancedata protectionDLPencryptiontokenizationroot cause analysisautomation

Soft Skills

stakeholder guidancecommunicationcollaborationproblem-solvinganalytical thinking

Certifications

Bachelor’s degree in CybersecurityBachelor’s degree in Computer ScienceBachelor’s degree in Information Systems