[P] Data Engineer, Safeguards

Anthropic
San Francisco, New York
Workplace: OnsiteFull timeUSD 320,000 - 405,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 8+ yearsEducation: bachelorsSkills: ["Communication"]

Build and maintain the data foundations that keep AI systems safe. Design scalable pipelines, warehousing solutions, and analytical tooling that power safety monitoring, abuse detection, and enforcement workflows. Create dashboards and reporting infrastructure, unify data from model outputs and user reports, and implement data quality frameworks with monitoring and alerting. Partner with engineers, data scientists, and policy teams to deliver privacy-compliant, governed data access and self-service insights at scale.

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FursaFursa
Anthropic
Anthropic
2 months ago

[P] Data Engineer, Safeguards

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 6 hours agoStatus: Live

Job Summary

Build and maintain the data foundations that keep AI systems safe. Design scalable pipelines, warehousing solutions, and analytical tooling that power safety monitoring, abuse detection, and enforcement workflows. Create dashboards and reporting infrastructure, unify data from model outputs and user reports, and implement data quality frameworks with monitoring and alerting. Partner with engineers, data scientists, and policy teams to deliver privacy-compliant, governed data access and self-service insights at scale.
Location: San Francisco, New York
Workplace: Onsite
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence

Key Responsibilities

  • •Design, build, and maintain scalable data pipelines for safety monitoring, abuse detection, and enforcement workflows.
  • •Develop and optimize data models and warehousing solutions to analyze large-scale usage and safety data.
  • •Build and maintain dashboards and reporting infrastructure for visibility into model behavior and enforcement outcomes.
  • •Integrate data from multiple sources (model outputs, user reports, automated classifiers) into a unified analytical layer.
  • •Implement data quality frameworks with monitoring and alerting for safety-critical data reliability.

Pay and Benefits

Salary: USD 320,000 - 405,000 annually
Perks:EquityPaid LeaveParental Leave

Key Requirements

  • •Proficiency in SQL and Python with hands-on ETL/ELT pipeline development and maintenance.
  • •Experience with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar.
  • •Experience with modern data stack tools including dbt, Airflow, Spark, or comparable orchestration and transformation frameworks.
  • •Experience building dashboards and data visualizations with tools such as Looker, Tableau, or Metabase.
  • •Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences.
Experience:8+ yearsAI safetyTrust and safetyAbuse detection
Education:Bachelor's
Skills:Communication
Languages:English
Tech Stack:SQLPythonETLELTBigQueryRedshiftSnowflakeDbtAirflowSparkLookerTableauMetabaseKafkaPub/SubKinesisGDPRCCPA

Company Brief

Anthropic
Develops large-scale AI systems and safety research to create reliable, steerable, and interpretable AI assistants and models for commercial and research applications.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Valuation: Unicorn (USD 1B+)
Funding: Series C
Headquarters: San Francisco, United States
Founded: 2021
WebsiteLinkedIn