Senior Privacy Engineer
$164,800–$228,400 year
Remote
Job Summary
Design and operate privacy engineering services that embed privacy controls into the core architecture of Upstart's products, including user control, data governance, anonymization, pseudonymization, retention, and deletion. Implement privacy-by-design patterns and data minimization controls across data pipelines, machine learning systems, and APIs to standardize privacy enforcement. Partner with Security, Legal, Compliance, Product, Data, and Machine Learning teams to translate requirements into technical specifications and support privacy reviews, data flow assessments, and technical risk analyses. Improve system reliability through testing, monitoring, and documentation.
Required Qualifications
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent practical experience
- 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
Desired 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
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