Data Engineer

at Anthropic

📍 New York City, United States
📍 San Francisco, United States
📍 Seattle, United States

USD 320,000-405,000 per year

MIDDLE

✅ Hybrid

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 3 Airflow @ 5 Dashboarding @ 3 Data Engineering @ 5 Data Pipelines Data Science @ 5 ETL @ 5 GitHub @ 5 Python @ 3 Reporting @ 3 SQL @ 3 dbt @ 5

Details

As a Data Engineer, you will be an early member of the Data Science & Analytics team building the foundation to scale analytics across our organization. You will collaborate with key stakeholders in Engineering, Product, GTM and other areas to build scalable solutions to transform data into key metrics reporting and insights. You will be responsible for ensuring teams have access to reliable, accurate metrics that can scale with our company’s growth. You will also lead your own projects to enable self-serve insights to help teams make data-driven decisions.

Responsibilities

Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that into technical requirements
Define, build and manage key data pipelines in dbt that transform raw logs into canonical datasets
Establish high data integrity standards and SLAs to ensure timely, accurate delivery of data
Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
Influence the future roadmap of Product and GTM teams from a data systems perspective
Become an expert in our organization’s data models and the company's data architecture

Requirements

5+ years of experience as a Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics
A passion for the company's mission of building helpful, honest, and harmless AI
Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through GitHub
Expertise in SQL and Python to transform data into accurate, clean data models
Experience building data reporting and dashboarding in visualization tools like Hex to serve multiple cross-functional teams
A bias for action and urgency, not letting perfect be the enemy of the effective
A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end, even if it requires going outside the original job description
Experience building an Analytics Data Engineering (or similar) function at start-ups
A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress

Benefits

Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues.