Role Overview
As a Data Engineer on the Data Science & Analytics team, you’ll build the foundation that lets analytics scale across Anthropic. You’ll partner with Engineering, Product, and other teams to turn raw data into reliable metrics, reporting, and insights.
What You Will Do
You’ll understand and anticipate data needs, define and build key dbt pipelines, set data integrity standards, build reliable dashboards, and partner with stakeholders to define and materialize metrics and analysis.
Why It Might Be a Fit
You’ll be a good fit if you have significant experience as a Data Engineer or in a similar Data Science & Analytics role, a passion for Anthropic’s mission, expertise in SQL and Python, and experience building reporting and dashboards.
Requirements
- Significant experience as a Data Engineer or in a similar Data Science & Analytics role
- Expertise in SQL and Python
- Experience building multi-step ETL jobs with tools like dbt
- Experience building reporting and dashboards in tools like Hex
- 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
- Comfort with ambiguity and a habit of creating clarity and forward progress
- Experience using AI to scale productivity and team’s work without lowering quality
- Strong communication skills
Benefits
- Competitive compensation
- Optional equity donation matching
- Generous vacation and parental leave
- Flexible working hours
- Lovely office space
To apply for this job please visit job-boards.greenhouse.io.
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