Data Engineer, Product
Apache Airflow
Data
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Engineer
Data Engineering
Data Integration
Data Management
Data Modeling
Data Operations
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Transforms
Data Warehouse
Database
Databases
Dbt
ETL
Hex
Information Technology (IT)
Reporting and Analytics
SQL
Job Description
Join the Data Science & Analytics team to build dependable analytics infrastructure that turns raw product data into metrics, dashboards, and self-serve data products.
Responsibilities
- Identify and anticipate partner teams’ data needs; translate them into data models, reporting, and technical requirements
- Define, build, and operate dbt pipelines that transform raw logs into canonical datasets
- Establish data integrity standards and SLAs to deliver accurate data on time
- Develop reliable dashboards that track core metrics and share insights across the company
- Build foundational data products, dashboards, and tools to scale self-serve analytics
- Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products
- Contribute to Product roadmaps from a data systems perspective
- Become a deep expert in Anthropic’s data models and data architecture
Requirements
- Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads on company-wide metrics
- Strong interest in Anthropic’s mission of building helpful, honest, and harmless AI
- Expertise building multi-step ETL workflows with dbt; experience with workflow orchestration such as Airflow, and version control via GitHub
- Proficiency in SQL and Python to produce accurate, clean data models
- Experience creating reporting and dashboards in tools like Hex for multiple cross-functional teams
- Action-oriented approach and judgment on when “good enough” is sufficient
- End-to-end mindset: ownership of complete solutions, including work beyond usual scope
- Comfort with ambiguity; habit of creating clarity and forward progress
- Experience using AI to increase personal and team productivity without lowering work quality
Technologies
- dbt
- Airflow
- GitHub
- SQL
- Python
- Hex
Benefits
- Competitive compensation and benefits
- Optional equity donation matching
- Generous vacation
- Parental leave
- Flexible working hours
- Lovely office space to collaborate with colleagues
Additional Qualifications (Strong Candidates May Also Have)
- 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)
- Hybrid policy: expected to be in one of the offices at least 25% of the time
- Visa sponsorship: Anthropic does sponsor visas (not able to sponsor every role/candidate); reasonable effort if making an offer; retain an immigration lawyer to help with this
- Education minimum: Bachelor’s degree or equivalent combination of education, training, and/or experience
- Required field of study: a field relevant to the role as demonstrated through coursework, training, or professional experience
- Experience minimum: years required will correlate with internal job level requirements
- Application encouragement: encouraged to apply even if you do not meet every qualification
Compensation
- Annual salary: $320,000–$405,000 USD
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