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Data Security Engineer II at Centene Corporation | JobVerse
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Data Security Engineer II
Centene Corporation
Remote
Website
LinkedIn
Data Security Engineer II
New York, United States of America
Full Time
18 hours ago
$30 - $55 USD
No Visa Sponsorship
Apply Now
Key skills
AWS
Azure
Cloud
Cyber Security
R
LLM
Large Language Models
Google Cloud
Cloud Security
About this role
Role Overview
Support the design, implementation, and operational stability of enterprise data protection systems across hybrid environments
Contribute to the effectiveness and efficiency of data security by applying cybersecurity principles
Collaborate with cross-functional teams to ensure compliance and enhance detection capabilities
Support enhancements to Data Security Posture Management (DSPM) tools
Develop systems for detecting sensitive data accessed by or used in large language models (LLMs)
Work with platforms like AWS, Azure, and Google Cloud to implement secure configurations and controls
Assist in correlating DLP events with SIEM/SOAR telemetry for automated response
Prepare reports based on facilities metrics and data access trends
Apply metadata tagging and sensitivity labels aligned with HIPAA, NIST, and ISO 270013
Ensure ongoing stability of server environments and assist with service request fulfillment
Document standard operating procedures and support release testing
Comply with all policies and standards
Requirements
A Bachelor's degree in a quantitative or business field (e.g., statistics, mathematics, engineering, computer science)
Requires 2 – 4 years of related experience
Cybersecurity Principles: Strong grasp of confidentiality, integrity, availability, authentication, and non-repudiation
Security System Design: Ability to determine how a security system should work and how changes in conditions or operations affect outcomes
Access Control Implementation: Experience developing and applying system access controls across platforms
Data Security Posture Management (DSPM): Experience with tools that discover, classify, and monitor sensitive data across hybrid environments
LLM Data Detection: Ability to develop systems for identifying sensitive data used in or accessed by large language models
Metadata Tagging & Labeling: Familiarity with applying sensitivity labels aligned with governance standards
Cloud Security & Infrastructure: Proficiency in AWS, Azure, and Google Cloud, as well as on-premise infrastructure
Endpoint Controls: Experience with USB/CD-R restrictions and outbound monitoring
SIEM/SOAR Integration & Telemetry
Incident Response Support: Experience in troubleshooting and resolving system service issues
CISSP Certified Information Systems Security Professional preferred
Proofpoint Email Fraud Defense preferred
Security+, Cloud+, CEH, CHFI, and Microsoft/AWS certifications are highly valued but not required
Tech Stack
AWS
Azure
Cloud
Cyber Security
Benefits
health insurance
401K and stock purchase plans
tuition reimbursement
paid time off plus holidays
flexible approach to work with remote, hybrid, field or office work schedules
Apply Now
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