Data Engineer

📋 Description

• Design and build scalable data pipelines using dbt, Python, Airflow, and Snowflake to support
• Own pipeline architecture and performance, and drive strategic initiatives to improve our data
• Make architectural decisions, including schema design, tool selection, and trade-offs
• Own data quality and observability, and build the infrastructure that keeps our data right
• Write ELT code using modern data engineering practices, including Git and automated testing and
• Debug production data issues when they break (and they will)

🎯 Requirements

• 2-5 years of professional data engineering experience
• Expert SQL skills: you think in queries and optimize ruthlessly
• Real dbt experience, meaning actual production work and not just exposure
• Solid Python, with production code rather than scripts
• Hands-on experience with Airflow (or Prefect/Dagster)
• Experience with a cloud data warehouse (Snowflake, BigQuery, or Redshift)

🎁 Benefits

• Performance Bonuses
• Stock Purchase Options
• Medical/Vision/Dental Benefits
• 401k Plan
• 20 Paid Vacation Days (plus an additional paid vacation day the month of your birthday!)
• 10 Paid Sick Days