Data Engineer: Build Reliable ETL Pipelines & Dashboards

D8 LooP; New York (NY); On-site; USD 120,000 - 180,000; Full time

Job summary

Anthropic is seeking a Data Engineer to advance our data infrastructure across multiple teams in San Francisco, New York City, and Seattle. You will own end-to-end ETL processes, model data, and build insights that inform product and policy decisions.

Collaborating with partners, you will set data quality standards, maintain SLAs, and implement reliable dashboards to track core metrics.

Qualifications

• Experience building multi-step ETL jobs with Airflow and dbt.
• Translate partner data needs into data models and reporting requirements.
• Proficient in Python and SQL for data modeling and validation.
• Define key dbt pipelines and ensure data delivery meets SLAs.

Responsibilities

• Build multi-step ETL jobs with Airflow and dbt pipelines.
• Turn raw logs into canonical datasets for analytics.
• Develop reliable dashboards to track core metrics and insights.
• Set data integrity standards and ensure timely data delivery.

Skills

Python

SQL

Dashboards

Data modeling

Data requirements understanding

Collaborating with partners

Tools

Airflow

dbt

GitHub

Job description

Anthropic is seeking a Data Engineer to advance our data infrastructure across multiple teams in San Francisco, New York City, and Seattle. You will own end-to-end ETL processes, model data, and build insights that inform product and policy decisions.

Collaborating with partners, you will set data quality standards, maintain SLAs, and implement reliable dashboards to track core metrics.