Senior Privacy Engineer
New
J
JobgetherPrivacy engineering
Based in United StatesFull-TimeSenior
SalaryTotal compensation range of $113,000–$142,000 annually, including base salary and variable compensation such as bonuses and incentives.
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Job Details
- Experience
- At least 6 years of experience in software engineering, security engineering, privacy engineering, or a related field, including at least 4 years focused on privacy engineering or data protection.
- Required Skills
- AWSPythonGCPJavaAzureGo
Requirements
- Bachelor’s degree in Computer Science, Software Engineering, Information Security, or a related technical discipline; a Master’s degree is preferred.
- At least 6 years of experience in software engineering, security engineering, privacy engineering, or a related field.
- At least 4 years focused on privacy engineering or data protection.
- Strong software development experience using Python, Java, Go, or JavaScript/TypeScript.
- Experience building and operating production systems in modern cloud environments such as AWS, Azure, or GCP.
- Experience implementing privacy by design, privacy automation, and technical privacy controls in contemporary software development practices.
- Working knowledge of HIPAA, GDPR, CCPA/CPRA, and relevant privacy engineering standards.
- Experience collaborating across Engineering, Product, Legal, Security, and Compliance teams.
- Familiarity with privacy management, data discovery, identity, and security technologies.
- IAPP certifications such as CIPT, CIPP, or CIPM, CDPSE, or related professional certifications are preferred.
- Ability to develop scalable technical solutions while balancing privacy, security, compliance, and product requirements.
Responsibilities
- Design, implement, and maintain technical privacy controls and privacy-enhancing technologies across products, services, and enterprise systems.
- Embed privacy by design into the software development lifecycle through architecture reviews, threat modeling, technical assessments, and engineering guidance.
- Develop and maintain privacy automation for consent management, data subject rights workflows, and data de-identification.
- Conduct and support Privacy Impact Assessments (PIAs/DPIAs), data flow mapping, privacy inventories, and related technical assessments.
- Translate privacy regulations and organizational requirements into technical solutions with Engineering, Product, Security, Legal, and Compliance teams.
- Develop data protection solutions for encryption, access controls, audit logging, and retention management.
- Evaluate and implement privacy engineering tools, technologies, frameworks, and emerging practices.
- Support AI governance initiatives by identifying and addressing privacy risks in AI and machine learning systems.
- Create reusable privacy standards, engineering libraries, technical documentation, and training materials.
- Improve privacy engineering processes, tooling, and technical standards.
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