Role summary
[Company] is hiring a Privacy Engineer to embed privacy by design across products, data pipelines, and AI systems. Reporting to the [Head of Privacy / CISO], you will build technical privacy controls, support privacy reviews, and help engineering teams meet obligations under [GDPR / CCPA / CPRA / sector rules].
Key responsibilities
- Privacy by design. Translate privacy requirements into technical controls and reusable reference patterns.
- Data mapping. Support the data inventory, data-flow mapping, and records of processing.
- Techniques. Implement de-identification, minimization, encryption, and differential privacy where appropriate.
- AI and data. Advise on privacy for training data, model outputs, and AI features.
- Reviews. Support data protection impact assessments and privacy reviews for new systems.
- Tooling. Build or integrate privacy tooling and automation.
- Collaboration. Partner with engineering, legal, and security.
Required qualifications
- [3 to 7] years in software or data engineering, with a focus on privacy or security.
- Understanding of privacy regulation such as GDPR and CCPA or CPRA and how it maps to systems.
- Hands-on engineering skills and familiarity with data pipelines.
- Experience implementing privacy-enhancing techniques.
Preferred qualifications
- CIPT, CIPP, or equivalent.
- Experience with privacy for machine learning or analytics.
- Experience in a regulated industry such as [financial services / healthcare / insurance / public sector].
About the team
[Describe the privacy and engineering teams, the data landscape, and how privacy engineering supports current products.]
[Salary range. Postings with salary ranges perform significantly better on GRC Careers, and several states require them.]
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