Senior Data Engineer

What you’ll do:

• Own the end-to-end Databricks data lake, dbt models, medallion layers, and data quality monitoring.
• Build AI data infrastructure including embedding pipelines, vector stores, and feature stores.
• Develop and maintain cloud databases, optimize analytics dashboards, and collaborate with cross-functional teams.

The right person for this role will have:

• At least 4 to 6 years of professional data engineering experience.
• Proficiency in Python and SQL, and experience with data modeling and cloud platforms.
• Experience with tools like dbt, Databricks Workflows, and data visualization tools.

Compensation and Benefits:

• Base pay range of $140k - $170k CAD, plus employee stock options.
• Comprehensive health benefits including a $500 Lifestyle Spending Account.
• Four weeks of paid vacation, parental leave top-ups, and global remote flexibility for 60 days per year.