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# Privacy Engineer, Level 4

- **Company:** Snap Inc.
- **Location:** Bellevue, WA, United States
- **Salary:** $157,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Code Review, Computer Programming, Data Governance, Data Structures, Software Debugging, DevOps, Distributed Systems, Machine Learning, Software Engineering, Data Streaming, Privacy Controls, Differential Privacy, Information Technology
- **Published:** October 23, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466545701&tx=JP7771FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Proficiency in, or a strong aptitude for, using AI tools to streamline development while auditing generated output for architectural integrity, performance bottlenecks, and security risks.
 * Experience within applied privacy techniques such as differential privacy, anonymization, cryptography, privacy-preserving computation, and privacy attack frameworks.
 * Expertise within consent, preference, identity, and tracking technologies, including ATT and opt-out mechanisms; privacy risks in advertising, measurement, machine learning, and embeddings.
 * Software engineering fundamentals, including data structures, algorithms, programming, testing, debugging, and code review.
 * Ability to conduct privacy reviews and threat modeling, document findings, and drive remediation with partner teams.
 * Ability to partner with engineering, product, legal, security, and data teams to reduce risk from design through deployment and remediation.
 * Strong communication skills in order to collaborate across functions, and adapt to evolving AI systems and modern engineering practices., * Bachelor's degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience.
 * 2+ years of post-bachelor's privacy, security, software engineering, or related experience; or a master's degree in a technical field plus 1+ year of post-graduate experience; or a PhD in a relevant technical field.
 * Expertise in one or more areas such as privacy engineering, privacy reviews, data governance, privacy-safe advertising or measurement, privacy-preserving machine learning, or security engineering., * Demonstrated experience securing or privacy-enabling complex distributed systems and production-scale infrastructure.
 * Strong programming and software design skills, including debugging, performance analysis, testing, and automation.
 * Experience with privacy threat modeling, leakage or attack assessments, privacy-control validation, or privacy-preserving ML and embeddings.
 * Strong intellectual curiosity and motivation to keep up with evolving privacy, security, AI, and engineering practices.

## Description

* Partner with engineering, product, legal, security, and data teams to translate privacy requirements into practical, production-ready controls that protect users, support our commitments, and preserve product utility
 * Develop and scale privacy-preserving approaches, auditing practices, and technical solutions across Snap's ads ecosystem.
 * Design and implement privacy controls for production systems, considering architecture, scale, performance, reliability, and operational risk.
 * Lead privacy reviews, threat modeling, and risk assessments for products, services, data flows, APIs, and technical designs.
 * Utilize AI tools and high-velocity engineering workflows to ship scalable services while maintaining rigorous standards for correctness, security, and production quality.
 * Support privacy-safe advertising and measurement.
 * Evaluate privacy-preserving approaches for machine-learning systems, including leakage and attack risks.
 * Help define and evolve privacy standards, practices, tooling, and documentation across Snap.