# [P] Data Engineer, Safeguards

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY
**Role:** Data Engineering
**Salary:** $320k – $405k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, ETL, ELT, BigQuery, Redshift, Snowflake, dbt, Airflow, Spark, Looker, Tableau, Metabase, Kafka
**Posted:** 2026-07-23

> Build and maintain scalable data pipelines, warehousing, dashboards, and analytical tooling to support Anthropic's Safeguards team in monitoring AI models, detecting abuse, and ensuring safety at scale. Requires strong SQL/Python, modern data stack experience, and collaboration with engineers, data scientists, and policy teams.

## Job Description

## Key Responsibilities
- 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
- Build and maintain dashboards and reporting infrastructure that give Safeguards teams visibility into model behavior, misuse patterns, and enforcement outcomes
- Collaborate with engineers to integrate data from multiple sources — including model outputs, user reports, and automated classifiers — into a unified analytical layer
- Implement data quality frameworks, monitoring, and alerting to ensure the reliability of safety-critical data
- Partner with research teams to surface data insights that inform model improvements and safety interventions
- Develop self-service data tooling that enables stakeholders to explore safety data and generate reports independently
- Contribute to data governance practices, including access controls, retention policies, and privacy-compliant data handling

## Minimum Qualifications
- 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
- 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
- Ability to communicate clearly and translate complex data concepts for both technical and non-technical audiences

## Preferred Qualifications
- 8+ years of experience in data engineering, analytics engineering, or a related role
- Comfort contributing across the stack and picking up work outside your immediate scope when the situation calls for it
- Background in trust and safety, integrity, fraud, or abuse detection data systems
- Experience with large-scale event streaming systems such as Kafka, Pub/Sub, or Kinesis
- 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
- A genuine interest in the societal implications of AI and in making AI systems safer

## Compensation
Annual Salary: $320,000—$405,000 USD

Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience

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