Senior Data Engineer - Data Insights

📋 Description Own end-to-end data platform lifecycle from requirements to MVPs. Build and optimize robust ETL/ELT pipelines using Python and Airflow. Develop standards and custom integrations with external APIs. Evolve the firelake data lake on AWS/Snowflake for performance. Implement data quality checks, schema drift handling, and security controls. Partner with analytics and engineering to scale data solutions. 🎯 Requirements 5+ years in data/software engineering with full data lifecycle. 5+ years delivering scalable data products and pipelines. Led 3-5 concurrent cross-department data projects. Advanced SQL with Snowflake (5+ years). 5+ years Python programming. AWS, Terraform, Docker; Airflow and dbt experience. 🎁 Benefits Equity for all team members 25 days PTO per year (30 after 5 years) Empire Health medical, dental, vision Life, critical illness, AD&D, long-term disability CAD 600 yearly sport allowance 3 CSR volunteering days per year