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Data Engineer, Safeguards

AnthropicSan Francisco, CA | New York City, NYData Science & Analytics
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Salary
Not listed
Job type
Full-time
Posted
1 Jul 2026
Status
Open · checked 7d ago

About this role

The Data Engineer, Safeguards role at Anthropic involves building the essential data foundations that keep artificial intelligence systems safe, operating out of San Francisco or New York City. This position is well-suited for an experienced data professional who wants to support safety, trust, and abuse prevention initiatives at a leading AI organization.

Role Overview

As a Data Engineer on the Safeguards team, the primary focus is designing and building the pipelines, warehousing solutions, and analytical tooling that power safety and trust efforts at scale. The Safeguards group actively monitors models, prevents misuse, and ensures user well-being by relying on robust, reliable data infrastructure. Professionals in this position work closely with engineers, data scientists, and policy teams to detect abuse patterns, measure safety intervention effectiveness, and make informed decisions regarding model behavior and enforcement.

Key Responsibilities

Design, build, and maintain scalable data pipelines supporting safety monitoring, abuse detection, and enforcement workflows.
Develop and optimize data models and warehousing solutions for efficient analysis of large-scale usage and safety data.
Build and maintain dashboards and reporting infrastructure to give Safeguards teams visibility into model behavior and misuse patterns.
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 secure 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, encompassing access controls, retention policies, and privacy-compliant data handling.

Requirements

Proficiency in SQL and Python, complemented by hands-on experience building and maintaining ETL or ELT pipelines.
Experience working with cloud data platforms such as BigQuery, Redshift, Snowflake, or similar systems.
Familiarity with modern data stack tools including dbt, Airflow, Spark, or similar orchestration and transformation frameworks.
Experience constructing dashboards and data visualizations using platforms like Looker, Tableau, or Metabase.
Strong communication skills to clearly translate complex data concepts for both technical and non-technical audiences.
Bachelor’s degree or an equivalent combination of education, training, and experience in a relevant field of study.
Ability to work on a location-based hybrid policy requiring staff to be in one of the offices at least 25% of the time.

Nice to Have

8+ years of professional experience in data engineering, analytics engineering, or a closely related role.
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.
Familiarity with data privacy and compliance frameworks like GDPR and CCPA.
Experience building data infrastructure to support machine learning model monitoring or evaluation.
Background in statistical analysis or direct experience collaborating with data scientists.

Skills and Tools

Python and SQL
Cloud data platforms (Snowflake, BigQuery, Redshift)
Modern data stack tools (dbt, Airflow, Spark)
Data visualization and reporting platforms (Looker, Tableau, Metabase)
Event streaming technologies (Kafka, Pub/Sub, Kinesis)

Salary and Benefits

Annual salary range of $320,000 to $405,000 USD
Competitive compensation and benefits package
Optional equity donation matching
Generous vacation and parental leave policies
Flexible working hours and collaborative office spaces
Visa sponsorship availability for qualified candidates

About the Company

Anthropic is a public benefit corporation focused on creating reliable, interpretable, and steerable AI systems that are safe and beneficial for society. Operating as a single cohesive team, the organization approaches artificial intelligence research as an empirical science akin to physics and biology. Employees collaborate closely in an environment dedicated to long-term goals of trustworthiness and impact over smaller, isolated puzzles.

How to Apply

To submit an application for this position, please visit the official Anthropic careers page.

Skills and tech stack

PythonSQLSparkKafkaAirflowSnowflakedbt

Questions candidates ask

What locations is this job based in?

This role is based in San Francisco, CA or New York City, NY, operating under a location-based hybrid policy requiring staff to be in the office at least 25% of the time.

What is the annual salary range for the Data Engineer, Safeguards position?

The annual salary range for this role is between $320,000 and $405,000 USD.

What technical skills are required?

Candidates must be proficient in SQL and Python, with hands-on experience building and maintaining ETL/ELT pipelines, cloud data platforms, modern data stack tools, and data visualization platforms.

Does Anthropic offer visa sponsorship?

Yes, Anthropic sponsors visas and retains an immigration lawyer to assist candidates who receive an employment offer.

How can I apply for this role?

Candidates should apply directly through the official Anthropic careers page.

Ready to apply?

The application is on the official Anthropic careers page.

Apply on company site