Senior Cloud Data Security Engineer

CVS Health

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $101,970–$203,940 / yr
Posted: 4 days ago
Closes: Jul 31, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $174k

This role $153k

$88k most similar roles pay here $232k

This role pays less than 68% of similar roles. Most pay $143,012–$205,000 — the shaded band above. At the midpoint, this role pays about $153k versus about $174k for comparable roles.

Based on 240 similar postings.

Employer

About CVS Health

CVS Health is a leading American healthcare company operating retail pharmacies, pharmacy benefit management services, and a health insurance segment through Aetna, one of the nation''s largest health insurers. Industry: Healthcare & Pharmacy

CVS Health currently has 417 open roles on FindRole.

Listed pay typically runs $118,450–$284,280 across 142 roles with salary data.

Most-posted roles

View all roles at CVS Health

At a glance

TL;DR · Senior Cloud Data Security Engineer

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CVS Health is seeking a Senior Cloud Data Security Engineer specializing in Data Loss Prevention (DLP) to join their Data Protection Team, where the engineer will design and implement enterprise DLP policies across cloud, endpoint, email, and network environments, ensuring robust data protection while minimizing user friction. This role involves leading initiatives to prevent unauthorized data exfiltration, enforcing data classification standards, and extending DLP controls to AI/ML pipelines. The ideal candidate has extensive experience with platforms like Microsoft Purview, Zscaler, and Palo Alto, as well as hands-on knowledge of cloud security frameworks such as Zero Trust, CASB, CSPM, and Conditional Access. Additionally, proficiency in Regex for policy creation and tools like Splunk or Power BI for analytics is essential, alongside a strong background in securing AI/ML platforms and generative AI services.

Skills

Microsoft Purview Zscaler Palo Alto AWS Azure GCP Zero Trust CASB CSPM Regex Splunk Chronicle Power BI Network security Email security Firewall technologies LLMs Generative AI MLOps CI/CD

What you'll do

Design and implement enterprise DLP policies across cloud, endpoint, email, and network channels.
Lead data classification initiatives to ensure consistent governance of sensitive data types.
Monitor and investigate data leakage incidents, performing root cause analysis and driving remediation.
Develop automated workflows for DLP enforcement and incident response to improve accuracy.
Extend DLP capabilities to AI/ML pipelines and enforce secure handling in generative AI platforms.

What we're looking for

5+ years of experience implementing cloud security solutions with a focus on DLP in large enterprises.
5+ years hands-on experience with enterprise DLP platforms like Microsoft Purview and Zscaler.
5+ years designing and enforcing DLP policies across multiple channels including cloud, endpoint, email, and network.
3+ years securing AI/ML platforms, including exposure to LLMs and MLOps, focusing on data protection.
Proven experience leading DLP initiatives in collaboration with cross-functional teams.

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