Senior Privacy Engineer
Senior Privacy Engineer building and operating privacy-by-design systems, APIs, and controls for data governance, minimization, and ML pipelines at an AI lending platform. Requires 5+ years software engineering experience and background in privacy/security domains.
About the job
Responsibilities
- Design, build, and operate privacy engineering services that support user control, data governance, anonymization, pseudonymization, retention, deletion, and auditability.
- Implement privacy-by-design patterns and data minimization controls across products, services, data pipelines, and machine learning systems.
- Build APIs, libraries, services, and developer tools that help engineering teams standardize privacy enforcement across the technology stack.
- Partner with Security, Legal, Compliance, Product, Data, Machine Learning, and Infrastructure teams to translate privacy requirements into clear technical specifications.
- Support privacy reviews, data flow assessments, and technical risk assessments for new products, data uses, and platform capabilities.
- Improve the reliability, observability, and maintainability of privacy systems through testing, monitoring, documentation, and thoughtful technical design.
Minimum Qualifications
- Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience, and 3+ years of experience in software engineering.
- Experience building and operating production software systems using programming languages such as Python, Go, Java, Scala, C++, Rust, or similar languages.
- Experience building APIs, microservices, libraries, or backend services that support data governance, privacy controls, security controls, or data platform capabilities.
- Experience with at least two privacy or security domains such as anonymization, pseudonymization, data retention, deletion, data lineage, access control, encryption, audit logging, or data minimization.
- Experience translating privacy, security, compliance, or data protection requirements into software systems or technical workflows.
Preferred Qualifications
- Knowledge of privacy-by-design principles, privacy-enhancing technologies, purpose limitation, consent, retention, deletion, and data subject rights.
- Experience with data governance systems, data catalogs, lineage tooling, personally identifiable information detection, redaction, or automated policy enforcement.
- Experience supporting privacy reviews, threat modeling, data flow mapping, or technical risk assessments for production systems.
- Experience working with machine learning systems, financial services, lending, or another regulated data environment.
- Ability to communicate privacy engineering tradeoffs clearly across technical, legal, compliance, product, and business audiences.
Skills
Python, Go, Java, Scala, C++, Rust, APIs, Microservices, Data Governance, Privacy Controls, Anonymization, Pseudonymization, Data Retention, Data Deletion, Data Lineage
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