Data Engineer, Analytics & Self-Serve Insights

anthropic; San Francisco, New York, Seattle (CA, NY, WA); Hybrid; USD 320.000 - 405.000; Vollzeit

Zusammenfassung

Anthropic is seeking a Data Engineer to scale analytics across the organization. You will transform raw data into reliable metrics, build dbt pipelines, and create dashboards that drive data-driven decisions for consumer products.

Collaboration with Engineering and Product is essential to define metrics and ensure data quality. The role emphasizes end-to-end ownership, data modeling, and a strong focus on self-serve analytics while partnering across cross-functional teams.

Qualifikationen

• Significant experience as a Data Engineer or in a similar Data Science & Analytics role, ideally partnering with Product leads to build and report on company-wide metrics.
• A passion for Anthropic's mission of building helpful, honest and harmless AI.
• Expertise building multi-step ETL jobs with tools like dbt, plus experience with workflow tools like Airflow and version control through GitHub.
• Expertise in SQL and Python for turning data into accurate, clean data models.
• Experience building reporting and dashboards in tools like Hex that serve multiple cross‑functional teams.
• 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, even when that means picking up work beyond your usual scope.

Aufgaben

• Understand, and where possible anticipate, the data needs of partner teams, and translate them into data models, reporting and technical requirements
• Define, build and manage key dbt pipelines that turn raw logs into canonical datasets
• Set data integrity standards and SLAs so data is delivered on time and accurately
• Build reliable dashboards that track core metrics and share insights across the company
• Build foundational data products, dashboards and tools that let self-serve analytics scale
• Partner with stakeholders to define and materialize metrics and analysis for new and evolving consumer products
• Shape Product teams' roadmaps from a data systems perspective
• Become an expert in our data models and data architecture

Kenntnisse

Data engineering

ETL pipelines

SQL

Python

Dashboards

Data modeling

API workflows

Ausbildung

Bachelor's degree

Tools

dbt

Airflow

GitHub

Hex

Jobbeschreibung

Anthropic is seeking a Data Engineer to scale analytics across the organization. You will transform raw data into reliable metrics, build dbt pipelines, and create dashboards that drive data-driven decisions for consumer products.

Collaboration with Engineering and Product is essential to define metrics and ensure data quality. The role emphasizes end-to-end ownership, data modeling, and a strong focus on self-serve analytics while partnering across cross-functional teams.