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What we're looking for:
- 5+ years of experience in software engineering, data engineering, or data analytics at SaaS companies.
- Experience implementing data access control and data obfuscation layers on top of data lakes or large analytics environments.
- Proficiency in one or more backend languages (e.g., Go, Rust, Java, TypeScript) and a track record of delivering production-quality code.
What you can expect:
- Work on privacy engineering problems where data scale and data systems matter.
- Build practical controls for data access governance and obfuscation in large datasets.
- Collaborate across teams to make privacy the default through templates, guardrails, and automation.
Build Privacy-by-Design into Data Systems and Pipelines:
- Partner with Product and Legal/Privacy to translate requirements into concrete technical controls and deliverable plans.
- Influence how we design and evolve data ingestion and processing pipelines, ensuring privacy-safe collection and downstream use.
- Help teams implement privacy-safe patterns for data flows, access boundaries, and storage decisions.
Improve Lifecycle Controls and Telemetry Hygiene:
- Strengthen retention and deletion across production databases, logs, analytics, backups, and relevant third-party systems.
- Improve observability and telemetry practices by tightening protections and ensuring collection remains consent-aware.
1Password
1Password is building the foundation for a safe, productive digital future by ensuring every identity is authentic, every application sign-in is secure, and every device is trusted. They are a cybersecurity company with over 180,000 businesses trusting them to help their teams securely adopt the SaaS and AI tools they need to do their best work.