# Analytics Data Engineer

**Company:** [Anthropic](https://hotfix.jobs/companies/anthropic)
**Location:** San Francisco, CA, New York, NY, Seattle, WA
**Role:** Data Engineering
**Salary:** $275k – $370k/yr
**Experience:** 5+ years
**Skills:** dbt, SQL, Python, Airflow, GitHub, ETL, Hex, Data Pipelines, Data Models, Dashboards
**Posted:** 2026-05-08

> Builds and manages data pipelines using dbt, SQL, and Python to create scalable analytics infrastructure. Develops dashboards and self-serve tools for company-wide metrics, partnering with Engineering, Product, and GTM teams. Requires 5+ years experience.

## Job Description

## Responsibilities
- Understand the data needs of stakeholder teams in terms of key data models and reporting, and translate that 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 to ensure timely, accurate delivery of data
- Develop insightful and reliable dashboards to track performance of core metrics that will deliver insights to the whole company
- Build foundational data products, dashboards and tools to enable self-serve analytics to scale across the company
- Influence the future roadmap of Product and GTM teams from a data systems perspective
- Become an expert in our organization’s data models and the company's data architecture

## Requirements
- 5+ years of experience as an Analytics Data Engineer or similar Data Science & Analytics roles, preferably partnering with GTM and Product leads to build and report on key company-wide metrics
- Expertise in building multi-step ETL jobs, building robust data models through tooling like dbt; proficiency with workflow management platforms like Airflow and version control management tools through 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 to serve multiple cross-functional teams
- A bias for action and urgency, not letting perfect be the enemy of the effective
- A “full-stack mindset”, not hesitating to do what it takes to solve a problem end-to-end
- Experience building an Analytics Data Engineering (or similar) function at start-ups
- A strong disposition to thrive in ambiguity, taking initiative to create clarity and forward progress

## Compensation
**Annual Salary:** $275,000—$370,000 USD

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