Data Engineer (Safeguards)

Join Anthropic, a leading AI safety and research company. As a Data Engineer on the Safeguards team, you will build the data infrastructure that supports our mission to develop safe and beneficial AI. Your work will directly impact the safety and trust efforts of our AI systems.

• Design, build, and maintain scalable data pipelines that support safety monitoring, abuse detection, and enforcement workflows.
• Develop and optimize data models and warehousing solutions to enable efficient analysis of large-scale usage and safety data.
• Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer.
• Experience with modern data stack tools such as dbt, Airflow, Spark, or similar orchestration and transformation frameworks
• Experience building dashboards and data visualizations using tools such as Looker, Tableau, or Metabase
• Proficiency in SQL and Python, with hands-on experience building and maintaining ETL/ELT pipelines
• Experience with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar
• Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences
• Comfort contributing across the stack and picking up work outside your immediate scope when the situation calls for it
• Experience building data infrastructure that supports ML model monitoring or evaluation
• Familiarity with data privacy and compliance frameworks such as GDPR, CCPA, or similar
• Background in statistical analysis or experience working closely with data scientists
• Experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis
• Background in trust and safety, integrity, fraud, or abuse detection data systems
• We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work
• 8+ years of experience in data engineering, analytics engineering, or a related role
• A genuine interest in the societal implications of AI and in making AI systems safer