320K–405K USD / year
Data Engineer
DataHybrid — San Francisco, CA | New York City, NY | Seattle, WA
Published on 2026-10-09
These details were extracted automatically from the original listing. They may not be complete or fully up to date — it's worth checking the original job post.
About this role
As a Data Engineer, you will build foundational analytics systems, ensuring accurate metrics for consumer products from ideation to launch. You will partner with various teams to transform raw data into actionable insights, manage dbt pipelines, and develop self-serve analytics solutions.
About the company
Anthropic builds reliable and interpretable AI systems, including the Claude family of models, for businesses and developers. The company focuses on AI safety research and practical AI assistants for enterprise and consumer use.
What you'll do
- Understand and anticipate data needs of partner teams
- Define, build and manage dbt pipelines
- Set data integrity standards and SLAs
- Build reliable dashboards for core metrics
- Create self-serve analytics tools
- Partner with stakeholders on product metrics
- Shape Product teams' roadmaps from a data perspective
- Become an expert in data models and architecture
What we're looking for
- Significant experience as a Data Engineer or similar role
- Passion for building helpful AI systems
- Expertise in ETL with dbt, Airflow, and GitHub
- Proficient in SQL and Python
- Experience with reporting tools like Hex
- Bias for action and ownership of problem-solving
- Comfort with ambiguity and creating clarity
Nice to have
- Experience building a data engineering function in a fast-growing environment
Benefits
- Competitive compensation
- Generous vacation and parental leave
- Flexible working hours