Anthropic is hiring a Data Engineer for the Safeguards team to build the data foundations that keep our AI systems safe. You will design and maintain scalable data pipelines, data warehousing solutions, and analytical tooling that power safety monitoring, abuse detection, and enforcement workflows. You will collaborate with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and inform model behavior and enforcement decisions. This is a high-impact role that directly supports Anthropic's mission to develop AI that is safe and beneficial. The role is hybrid and based in San Francisco, CA or New York, NY, United States, with staff expected to be in the office at least 25% of the time. The annual salary range is $320,000—$405,000 USD. Minimum qualifications include proficiency in SQL and Python with hands-on experience building ETL/ELT pipelines; experience with cloud data platforms such as BigQuery, Redshift, Snowflake; experience with modern data stack tools such as dbt, Airflow, Spark; experience building dashboards with Looker, Tableau, or Metabase; and the ability to translate complex data concepts for technical and non-technical audiences. Preferred qualifications include 8+ years of experience in data engineering or analytics engineering, a background in trust and safety or abuse detection data systems, experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis, and familiarity with data privacy frameworks like GDP

Anthropic is hiring a Data Engineer for the Safeguards team to build the data foundations that keep our AI systems safe. You will design and maintain scalable data pipelines, data warehousing solutions, and analytical tooling that power safety monitoring, abuse detection, and enforcement workflows. You will collaborate with engineers, data scientists, and policy teams to ensure the Safeguards organization has the data it needs to detect abuse patterns, measure the effectiveness of safety interventions, and inform model behavior and enforcement decisions. This is a high-impact role that directly supports Anthropic's mission to develop AI that is safe and beneficial. The role is hybrid and based in San Francisco, CA or New York, NY, United States, with staff expected to be in the office at least 25% of the time. The annual salary range is $320,000—$405,000 USD. Minimum qualifications include proficiency in SQL and Python with hands-on experience building ETL/ELT pipelines; experience with cloud data platforms such as BigQuery, Redshift, Snowflake; experience with modern data stack tools such as dbt, Airflow, Spark; experience building dashboards with Looker, Tableau, or Metabase; and the ability to translate complex data concepts for technical and non-technical audiences. Preferred qualifications include 8+ years of experience in data engineering or analytics engineering, a background in trust and safety or abuse detection data systems, experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis, and familiarity with data privacy frameworks like GDP