Senior Data Engineer

📋 Description

• Build data models, pipelines, and semantic layers in Snowflake to power decisions.
• Partner with BI, Product, and Data Science to deliver reliable data.
• Own end-to-end lifecycle of data models: intake, development, testing, deployment, docs.
• Translate business needs into clean SQL and dbt models for self-serve reporting.
• Maintain dbt structure, tests, and CI/CD; monitor pipeline health and data quality.
• Collaborate with Data Science/ML teams to prepare data for training and inference.

🎯 Requirements

• Strong experience writing production-grade SQL and Snowflake.
• Hands-on dbt for modeling, testing, and documentation.
• Familiarity with Prefect, Airbyte, or Fivetran for pipelines.
• Designing reliable, scalable data systems with quality and observability.
• Translate ambiguous business problems into structured data solutions.
• Comfortable cross-functional collaboration in a fast-paced environment.

🎁 Benefits

• Remote-first role based in the U.S.; flexible, distributed work.
• Office space in Washington, DC available for use.
• Team of 120+ across the U.S.; periodic in-person meetups.
• Opportunity to impact education and social good.