Data Engineer
Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Data Science & Analytics · listed October 17, 2025
The shape of it
Seniority
Senior
Experience asked
5+ years
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
5
Length
1,013 words
In the posting’s own words
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.
What it asks for · 5
- 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.
- 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.
- Experience building an Analytics Data Engineering (or similar) function at start-ups.
What the job covers
- 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
Tools and skills named
Data
- dbt2×
- Airflow
- Data pipelines
- ETL
Go to market
- Go-to-market3×
Languages
- Python
- SQL
Product & design
- Roadmap
Ways of working
- Cross-functional
Words the posting leans on
- data19×
- building6×
- analytics5×
- key5×
- build4×
- data models4×
- metrics4×
- product4×
- accurate3×
- gtm3×
- insights3×
- reporting3×
- scale3×
- tools3×
- dashboards2×
- data engineer2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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