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Productive businesses use 1Password to secure employees at scale.
Senior Privacy Engineer
Location
United States
Posted
142 days ago
Salary
$153K - $214K / year
Seniority
Senior
Job Description
Senior Privacy Engineer
1Password
• Help shape how we collect, process, store, access, and delete data across services, telemetry, analytics, support tooling, third-party integrations, and emerging AI/ML solutions—translating privacy requirements into durable engineering controls • Work on privacy engineering problems where data scale and data systems matter: pipelines, telemetry/analytics, and data stores that support business needs while maintaining strong privacy protections • Build practical controls for data access governance and obfuscation in large datasets (policy enforcement, row/column controls, masking/tokenization, privacy-aware query patterns) • Improve retention/deletion and logging/telemetry hygiene so privacy remains strong as systems evolve • Help enable privacy-safe AI/ML use by implementing controls, infrastructure, and analysis that reduce data exposure and support responsible product development • Collaborate across teams to make privacy the default through templates, guardrails, and automation
Job Requirements
- 5+ years of experience in software engineering, data engineering, or data analytics at SaaS companies, with a strong emphasis on data ingestion, governance, and pipeline processing
- Demonstrated expertise building and operating production systems at meaningful scale, including debugging, reliability, and operational ownership
- Experience implementing data access control and data obfuscation layers on top of data lakes or large analytics environments, including policy-based access, row/column-level controls, tokenization/masking, and privacy-aware query patterns
- Experience implementing these controls via commodity governance/authorization offerings (e.g., Databricks Unity Catalog, Okera, Privacera, or similar technologies), including integration into real-world data workflows and enforcement paths
- Experience performing analytics and investigations using Python and SQL (e.g., validating data minimization, measuring collection changes, auditing datasets, and supporting privacy reviews)
- Experience building or supporting privacy-safe controls, infrastructure, and analysis for AI/ML solutions (e.g., data provenance and curation, access controls around training/evaluation datasets, inference telemetry hygiene, retention/deletion alignment, and practical mitigations for leakage risk)
- Familiarity with DLP-style controls and privacy-aware analytics patterns
- Proficiency in one or more backend languages (e.g., Go, Rust, Java, TypeScript) and a track record of delivering production-quality code
- Practical privacy engineering experience implementing controls such as minimization, access controls, encryption, retention/deletion, and privacy-safe analytics/telemetry
- Ability to translate privacy requirements (GDPR / CCPA / CPRA concepts) into engineering work without relying on “paper compliance”
- Strong cross-functional communication skills and comfort partnering with Product, Legal/Privacy, Security, Data, and Engineering teams
Benefits
- immediate participation in 1Password's benefits program (health, dental, 401k and many others)
- utilization of our generous paid time off
- an equity grant
- participation in our incentive programs
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