Data Engineer, Product

Anthropic · San Francisco, CA | New York City, NY | Seattle, WA · Data Science & Analytics · listed October 9, 2026

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The shape of it

Seniority
Not stated
Where
Hybrid
Stated pay
$320,000 – $405,000 USD
Requirements listed
9
Length
1,280 words

In the posting’s own words

An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope

What it asks for · 9

  • Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics
  • A passion for Anthropic's mission of building helpful, honest and harmless AI
  • Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub
  • Expertise in SQL and Python for turning data into accurate, clean data models
  • Experience building reporting and dashboards in tools like Hex that serve multiple cross-functional teams
  • A bias for action, and a sense of when "good enough" beats perfect
  • An end-to-end mindset: you take ownership of solving a problem fully, even when that means picking up work beyond your usual scope
  • Comfort with ambiguity, and a habit of creating clarity and forward progress
  • Experience using AI to scale your own productivity and your team's without lowering the quality of the work

Also a plus

  • Experience building a data engineering (or similar) function from the ground up in an early-stage or fast-growing environment

What the job covers

  • Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements
  • Define, build and manage key dbt pipelines that turn raw logs into canonical datasets
  • Set data integrity standards and SLAs so data is delivered on time and accurately
  • Build reliable dashboards that track core metrics and share insights across the company
  • Build foundational data products, dashboards and tools that let self-serve analytics scale
  • Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products
  • Shape Product teams' roadmaps from a data systems perspective
  • Become an expert in our data models and data architecture

Tools and skills named

Data
  • dbt4×
  • Airflow2×
  • ETL2×
Languages
  • Python2×
  • SQL2×
Ways of working
  • Cross-functional2×

Words the posting leans on

  • data26×
  • experience10×
  • build8×
  • building8×
  • product8×
  • tools8×
  • dashboards6×
  • data models6×
  • metrics6×
  • analytics4×
  • dbt4×
  • define4×
  • experience building4×
  • expertise4×
  • partner4×
  • reporting4×

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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How this page was made

An automated read of a public job posting, fetched October 9, 2026 and last changed by Anthropic on October 9, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.