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Today

Data Engineer, Product

Anthropic New York, NY

New York, NY

Today

$320k - $405k/yr Full time Apache Airflow Data Data Analysis

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Job Description

As a Data Engineer on the Data Science & Analytics team, you will help establish the data foundation that powers analytics for consumer products. The role focuses on transforming raw data into trusted metrics, reporting outputs, and insights that teams can use to make decisions.

What You’ll Do

Assess and anticipate partner teams’ data needs, then convert those needs into data models, reporting requirements, and technical specifications
Define, build, and operate key dbt pipelines that convert raw logs into canonical datasets
Set data integrity standards and SLAs to support delivery on time and with accurate results
Create dependable dashboards that monitor core metrics and distribute insights across the organization
Develop foundational data products, dashboards, and tools that enable self-serve analytics to scale
Collaborate with stakeholders to define and materialize metrics and analysis for existing and new consumer products
Contribute to Product teams’ roadmaps from a data systems perspective
Build deep expertise in Anthropic data models and overall data architecture

Required Qualifications

Significant experience as a Data Engineer or in a comparable Data Science & Analytics role, ideally working with Product leads on company-wide metrics
A commitment aligned with Anthropic’s mission of building helpful, honest, and harmless AI
Proficiency creating multi-step ETL jobs using dbt, along with experience using workflow tools such as Airflow and version control via GitHub
Expertise in SQL and Python to build clean, accurate data models
Experience creating reporting and dashboards in tools like Hex for cross-functional stakeholders
A strong execution mindset and an ability to determine when “good enough” is preferable to perfection
An end-to-end approach that includes taking ownership beyond the usual scope to fully solve a problem
Comfort working in ambiguous environments, with a practice of creating clarity and forward movement
Experience using AI to improve personal and team productivity without reducing work quality

Technologies

dbt
Airflow
GitHub
SQL
Python
Hex

Education

Bachelor’s degree or an equivalent combination of education, training, and/or experience.

Compensation

The annual compensation range for this role is USD 320,000 - 405,000.

Annual Salary: $320,000—$405,000 USD

Benefits

Competitive compensation and benefits
Optional equity donation matching
Generous vacation
Parental leave
Flexible working hours
Lovely office space in which to collaborate with colleagues

Additional Considerations

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

Location and Logistics

Location: New York, NY (hybrid)
Location-based hybrid policy: expected to be in one of the offices at least 25% of the time
Visa sponsorship: offered (not able to sponsor every role/candidate); reasonable effort if making an offer, with an immigration lawyer retained to help
Field of study: a field relevant to the role as demonstrated through coursework, training, or professional experience
Minimum years of experience: correlated with internal job level requirements for the position
Encouragement to apply: encouraged even if you do not meet every qualification

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