Data Engineer

About the Company

Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems.

Responsibilities

• Understand the data needs of stakeholder teams and translate them into technical requirements
• Define, build and manage key data pipelines in dbt to transform raw logs into canonical datasets
• Establish high data integrity standards and SLAs for timely and accurate data delivery
• Develop insightful and reliable dashboards to track performance of core metrics
• Build foundational data products and tools to enable self-serve analytics
• Influence the future roadmap of Product and GTM teams from a data systems perspective
• Become an expert in the organization’s data models and data architecture

Requirements

• 5+ years of experience as a Data Engineer or in similar Data Science & Analytics roles
• Expertise in building multi-step ETL jobs and robust data models using dbt
• Proficiency with workflow management platforms like Airflow
• Experience with version control management tools like GitHub
• Expertise in SQL and Python for data transformation
• Experience building data reporting and dashboarding in visualization tools like Hex
• Experience building an Analytics Data Engineering function at start-ups
• Bachelor’s degree or equivalent combination of education and experience