Data Engineer — Safeguards & Safety Analytics

Anthropic Limited; San Francisco, Northern (CA, KY); Hybrid; USD 140,000 - 210,000; Full time

Job summary

Anthropic Limited is seeking a Data Engineer for the Safeguards team to design and maintain data pipelines, warehousing, and analytics tooling that power safety monitoring and enforcement across AI systems. You will collaborate with engineers, data scientists, and policy teams to surface data insights, detect abuse, and inform model improvements in a high-impact setting.

The role emphasizes SQL/Python proficiency, cloud data platforms (BigQuery, Redshift, Snowflake), and modern data stack tools

Qualifications

• 8+ years of experience in data engineering, analytics engineering, or a related role.
• Experience with large-scale data pipelines and data infrastructure for ML/model monitoring.
• Background in trust and safety, integrity, fraud, or abuse detection data systems.
• Familiarity with GDPR/CCPA or similar privacy frameworks.

Responsibilities

• Design, build, and maintain scalable data pipelines for safety monitoring and enforcement workflows.
• Develop and optimize data models and warehousing solutions for large-scale usage and safety data.
• Build dashboards and reporting infrastructure for visibility into model behavior and safeguards outcomes.
• Collaborate with engineers to integrate data from multiple sources into a unified analytical layer.
• Implement data quality frameworks, monitoring, and alerting for critical safety data.

Skills

SQL

Python

Communication

Data storytelling

Tools

BigQuery

Redshift

Snowflake

dbt

Airflow

Spark

Looker

Tableau

Metabase

Job description

Anthropic Limited is seeking a Data Engineer for the Safeguards team to design and maintain data pipelines, warehousing, and analytics tooling that power safety monitoring and enforcement across AI systems. You will collaborate with engineers, data scientists, and policy teams to surface data insights, detect abuse, and inform model improvements in a high-impact setting.

The role emphasizes SQL/Python proficiency, cloud data platforms (BigQuery, Redshift, Snowflake), and modern data stack tools