Staff+ Software Engineer, Safeguards Data
$320,000–$485,000 year
HybridNew York City, New York, United States or San Francisco, California, United States
Job Summary
Build and operate the data platform powering Safeguards, including ingestion pipelines, warehouses, and schemas for detection and review systems. Keep Safeguards systems running day-to-day with a high operational bar while reducing manual sustainment effort. Own data governance and integrity, ensuring retention, access controls, privacy-preserving handling of sensitive data, and correctness guarantees for downstream consumers. Design portably distributed systems that run across AWS, GCP, and Azure within customer-managed constraints. Partner with analysts, investigators, and researchers to build the internal tooling their work depends on.
Required Qualifications
- Proficiency in Python
- Proficiency in SQL
- Experience building and operating data pipelines or data stores in production
- Ability to work across the data stack, including ingestion, storage, and consumption
- Strong written and verbal communication skills, including the ability to explain technical tradeoffs to people outside your discipline
- Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience
- Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience
- Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time
Desired Qualifications
- Extensive experience as a software engineer, including significant time on data-intensive systems
- Experience with integrity, spam, fraud, or abuse detection and mitigation
- Experience building trust and safety detection and intervention mechanisms for AI or machine learning systems
- Experience building and operating large-scale distributed data infrastructure
- Experience working across multiple cloud providers, or building infrastructure designed to be provider-agnostic
- Experience meeting data governance requirements in a regulated or high-sensitivity domain
- Experience working closely with operational teams to build custom internal tooling
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