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