Data Engineer – Safeguards

About the role

Anthropic is seeking a Data Engineer to join its Safeguards team. You will build the data foundations that keep AI systems safe, supporting monitoring, abuse detection, and user‑well‑being initiatives.

Key responsibilities

• Design, build, and maintain scalable data pipelines for safety monitoring and enforcement workflows.
• Develop and optimise data models and warehousing solutions for large‑scale usage and safety data.
• Create dashboards and reporting infrastructure to give visibility into model behaviour, misuse patterns, and enforcement outcomes.
• Integrate data from model outputs, user reports, and automated classifiers into a unified analytical layer.
• Implement data quality frameworks, monitoring, and alerting for safety‑critical data.
• Partner with research teams to surface insights that inform model improvements and safety interventions.
• Build self‑service tooling for stakeholders to explore safety data and generate reports.
• Contribute to data governance, including access controls, retention policies, and privacy‑compliant handling.

Required profile

• Proficiency in SQL and Python with hands‑on experience building ETL/ELT pipelines.
• Experience with cloud data platforms such as BigQuery, Redshift, or Snowflake.
• Familiarity with modern data‑stack tools like dbt, Airflow, or Spark.
• Ability to create dashboards using Looker, Tableau, or Metabase.
• Strong communication skills to translate complex data concepts for technical and non‑technical audiences.

Required skills

• SQL
• Python
• ETL/ELT pipeline development
• BigQuery
• Redshift
• Snowflake
• dbt
• Airflow
• Spark
• Looker
• Tableau
• Metabase