Anthropic’s Data Science & Analytics team is rapidly growing and seeks an early‑member Data Engineer to build scalable analytics infrastructure. The role involves collaborating with Engineering, Product, and GTM stakeholders to transform raw data into actionable insights, lead projects that enable self‑serve analytics, and influence product roadmaps. The position requires strong ETL, data modeling, and visualization skills, with a passion for AI safety and impact.
Data Engineer at Anthropic
Hybrid - San Francisco, CA; New York City, NY; Seattle, WA
More jobs at AnthropicSalary
R$ 320,000 - 405,000
Requirements
Skills
- 5+ years of experience as a Data Engineer or similar Data Science & Analytics roles
- Passion for the company's mission of building helpful, honest, and harmless AI
- Expertise in building multi-step ETL jobs and robust data models using dbt
- Proficiency with workflow management platforms like Airflow and version control tools such as GitHub
- Expertise in SQL and Python to transform data into accurate, clean data models
- Experience building data reporting and dashboarding in visualization tools like Hex for cross‑functional teams
- Bias for action and urgency
- Full‑stack mindset, willing to solve end‑to‑end problems
- Experience building an Analytics Data Engineering function at start‑ups
- Strong disposition to thrive in ambiguity and initiative
Responsibilities
- Understand data needs of stakeholder teams and translate them into technical requirements
- Define, build, and manage key data pipelines in dbt that transform raw logs into canonical datasets
- Establish high data integrity standards and SLAs for timely, accurate data delivery
- Develop insightful dashboards to track core metrics and provide company‑wide insights
- Build foundational data products, dashboards, and tools for 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
Technologies
dbtAirflowGitHubSQLPythonHex
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