# Staff+ Software Engineer, Safeguards Data

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $320k – $485k/yr
**Experience:** 7+ years
**Skills:** Python, SQL, Data Pipelines, Data Stores, Data Warehousing, Data Governance, Access Control, Data Lineage, Distributed Systems, AWS, GCP, Microsoft Azure, Fraud Detection, Abuse Detection, Internal Tooling
**Posted:** 2026-08-14

> Build and operate the data foundations behind AI safeguards, including production pipelines, data stores, governance controls, and internal tooling. The role requires strong Python and SQL skills, production data-platform experience, and expertise in reliable, privacy-conscious systems across multiple cloud environments.

## Job Description

## Responsibilities

- Build and operate the Safeguards data platform, including ingestion and processing pipelines, warehouses and other data stores, and the schemas and interfaces used by detection and review systems.
- Keep Safeguards systems running day to day and maintain a high operational bar for safety and customers while reducing manual effort.
- Own data governance and integrity, including retention and access controls, privacy-preserving handling of sensitive data, lineage, and correctness guarantees.
- Design systems that run portably across cloud providers and within customer-managed and third-party environments.
- Partner with analysts, investigators, and researchers to build the internal tooling they depend on.

## Minimum Qualifications

- Proficiency in Python and 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.

## Preferred Qualifications

- Extensive software engineering experience, including significant work 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 provider-agnostic infrastructure.
- Experience meeting data governance requirements in a regulated or high-sensitivity domain.
- Experience working closely with operational teams to build custom internal tooling.

## Compensation and Benefits

- Annual salary: **$320,000–$485,000 USD**.
- Minimum education: bachelor’s degree or an equivalent combination of education, training, and/or experience.
- Competitive compensation and benefits.
- Optional equity donation matching.
- Generous vacation and parental leave.
- Flexible working hours.
- Office collaboration space.
- Visa sponsorship may be available for eligible roles and candidates.

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