Data Engineer - Analytics & Self-Serve Insights

Confidential; San Francisco (CA); Hybrid; USD 320,000 - 405,000; Full time

Benefits offered by this job

Competitive compensation

Equity donation matching

Generous vacation and parental leave

Flexible working hours

Office space

Job summary

Anthropic is seeking a Data Engineer to join the Data Science & Analytics team in San Francisco. You will build scalable analytics foundations, turning raw data into reliable metrics, reporting and insights to support product launches and data-driven decisions.

You’ll own end-to-end data pipelines with dbt, Airflow and GitHub, collaborating with Engineering and Product teams. Focus on data quality, documentation and empowering self-serve analytics.

Qualifications

• Significant experience as a Data Engineer or in a Data Science & Analytics role.

Responsibilities

• Understand partner data needs and translate them into data models, reporting and requirements.
• Define, build and manage dbt pipelines turning raw logs into canonical datasets.
• Set data integrity standards and SLAs for timely, accurate data delivery.
• Build reliable dashboards to track core metrics and share insights across the company.
• Create foundational data products, dashboards and tools enabling self-serve analytics.

Skills

Data engineering

SQL

Python

Dashboarding

Communication

Bias for action

Data governance

Education

Bachelor's degree in a relevant field

Tools

dbt

Airflow

GitHub

Job description

Anthropic is seeking a Data Engineer to join the Data Science & Analytics team in San Francisco. You will build scalable analytics foundations, turning raw data into reliable metrics, reporting and insights to support product launches and data-driven decisions.

You’ll own end-to-end data pipelines with dbt, Airflow and GitHub, collaborating with Engineering and Product teams. Focus on data quality, documentation and empowering self-serve analytics.