Senior Data Privacy Engineer: PETs & Enterprise Protection

Koitecc Solutions; Austin (TX); On-site; USD 107,000 - 284,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Retirement benefits

Wellness programs

Job summary

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. You will lead privacy-by-design initiatives, risk assessments, and collaboration with multiple domains to safeguard regulated data.

The role emphasizes PETs, encryption, tokenization, and DLP, with a focus on scalable architectures and regulatory alignment across GDPR/CCPA/HIPAA landscapes.

Qualifications

• 7+ years advancing Privacy Engineering, Security Engineering, Data Protection, Cybersecurity, or related disciplines.
• 5+ years designing and deploying enterprise-scale data protection capabilities.
• Strong software engineering foundation with 5+ years in Python/Java/Go.
• 5+ years in cloud-native/DevSecOps environments with IaC and CI/CD.
• 3+ years leading cross-functional privacy initiatives.

Responsibilities

• Lead strategy and implementation of enterprise data protection and privacy engineering across data environments.
• Design and optimize PETs like encryption, tokenization, anonymization, and DLP.
• Collaborate with engineering, product, legal, and compliance to embed privacy-by-design.
• Conduct privacy risk assessments, threat modeling, and control evaluations.
• Drive governance, metrics, and cross-functional initiatives to strengthen privacy posture.

Skills

Privacy engineering

Security engineering

Data protection

Cybersecurity

Python

Java

Go

Cloud-native

CI/CD

IaC

Threat modelling

Leadership

Education

Bachelor's degree

Tools

DLP tools

Encryption

Tokenization

Data classification

Job description

CVS Health is seeking a Lead Data Privacy Engineer to advance enterprise privacy engineering and data protection across structured and unstructured data. You will lead privacy-by-design initiatives, risk assessments, and collaboration with multiple domains to safeguard regulated data.

The role emphasizes PETs, encryption, tokenization, and DLP, with a focus on scalable architectures and regulatory alignment across GDPR/CCPA/HIPAA landscapes.