This role pays more than
56%
of similar roles. Most pay
$149,106–$214,150
— the shaded band above.
At the midpoint, this role pays about
$195k
versus about
$182k
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
88 open roles
on FindRole.
Listed pay typically runs
$118,450–$284,280
across 84 roles with salary data.
Lead Data Privacy Engineer
The Lead Data Privacy Engineer joins the organization to advance enterprise privacy engineering and data protection capabilities for sensitive information across structured and unstructured environments. This role involves leading the strategy, design, and implementation of scalable privacy-enhancing technologies including encryption, tokenization, anonymization, and Data Loss Prevention. The individual will manage data discovery, inventory, and classification while collaborating with cross-functional teams to embed privacy-by-design principles into technical architectures. Key responsibilities include conducting risk assessments, threat modeling, and developing automated governance controls to meet regulatory requirements like GDPR, CCPA/CPRA, and HIPAA. The role requires proficiency in Python, Java, or Go within cloud-native and DevSecOps environments using CI/CD pipelines and Infrastructure as Code. This position addresses the critical challenge of protecting regulated data assets while enabling secure, compliant innovation within a large healthcare environment.
Python
Go
Java
Scala
C++
Rust
Microservices
APIs
Data Governance
Encryption
Anonymization
Pseudonymization
Machine Learning
Data Pipelines
Audit Logging
Threat Modeling
Data Lineage
Privacy-by-Design
Privacy Engineering
AI
Data Governance
Identity and Access Management
Cloud Infrastructure
Security Automation
Code Scanning
Data Minimization
Policy Codification