Data Engineer Mid

D8 LooP; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Anthropic is hiring a Data Engineer to join a growing team across San Francisco, NYC, and Seattle. You will develop and maintain data pipelines, implement robust data models, and ensure systems are observable, secure, and cost-efficient.

Ideal candidates:

Qualifications

• Must have Airflow/orchestration experience and strong SQL and Python.
• Experience as a data engineer or analytics engineer building and operating production pipelines and data models.
• Operate what you build as a living system with observability, data quality, cost, security, and access controls.

Skills

Airflow orchestration

SQL

Python

Production pipelines

Data modeling

Observability and data quality

Job description

Anthropic · job-boards.greenhouse.io · checked today

San Francisco, CA | New York City, NY; Seattle, WA Mid Relocation / visa support in the posting 5+ yrs Data Engineer posted 1 d ago

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Skills, with evidence

• Airflow / orchestration Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse must have
• Experience as a data engineer or analytics engineer building and operating production pipelines and data models must have
• Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them must have
• Python Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse must have
• SQL Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse must have
• Cost & performance Operate what you build as a living system, with observability, data quality, cost, security, and access controls designed in, so problems surface before the field sees them
• Warehousing Strong SQL and Python, and experience with modern transformation and orchestration tooling on a cloud data warehouse