Data Engineer

In this role, you will: Design, build, and own custom data pipelines from source systems into our warehouse, including integrations with messy or poorly documented APIs. Build and operate Airflow DAGs for scheduled and event-triggered workflows. Develop dbt models and a governed semantic layer that analysts, internal tools, and AI agents can trust. Develop reusable patterns for incremental syncs, retries, replay, backfills, and event processing so the team ships faster over time. Build monitoring, quality checks, and reconciliation that catch problems before bad data reaches reports, teams, or AI tools. Diagnose and resolve production incidents involving missing, delayed, duplicated, or incorrect data. Partner with Finance, Operations, Growth, and Technology to turn ambiguous requests into durable data products. Use AI coding agents to accelerate implementation, testing, and debugging while remaining accountable for architecture, correctness, and quality. Document architectural decisions, system ownership, and recovery procedures so critical knowledge is accessible and systems remain supportable. We’re looking for someone who has 3+ years in data engineering and strong dbt and Airflow experience, and who can work with BigQuery, GCP, and Cloud Composer a plus. Compensation & Benefits: Base salary range is $150,000-$170,000 plus bonus, with a comprehensive benefits package. This is a remote-friendly role with biannual off-sites."