Data Engineer Sr

Location and work arrangement

• Hybrid role with onsite locations in Montreal, Quebec, or Toronto, Ontario.

Salary

• Salary is CAD $120,000–$140,000 annualized.

About the role

Key responsibilities

• Design and maintain scalable data pipelines and ETL/ELT solutions across cloud platforms, warehouses, lakehouses, and analytics environments.
• Develop secure and reliable data integration frameworks, dimensional models, and transformation logic.
• Collaborate with architects and stakeholders to translate business requirements into scalable solutions.
• Apply data quality, testing, monitoring, lineage, and governance practices; optimize for performance, reliability, scalability, and cost.
• Support legacy platform modernization, implement engineering and CI/CD practices, troubleshoot technical issues, and contribute to architecture reviews and continuous improvement.

Required qualifications

• 6+ years in data engineering, data integration, analytics engineering, software engineering, or a related technical discipline.
• Production ETL/ELT and data integration experience; advanced SQL, query optimization, performance tuning, and data modeling.
• Programming experience with Python, Scala, Java, or similar; cloud data platform, warehouse, lakehouse, and analytics environment experience.
• Experience with Spark or equivalent and hands-on experience with one or more of Microsoft Fabric, Databricks, Snowflake, BigQuery, Redshift, or similar.
• Familiarity with Git workflows and CI/CD; understanding of data quality, governance, lineage, security, and observability.
• Effective technical and non-technical communication, strong analytical and troubleshooting skills, and adaptability.

Preferred qualifications

• Production implementation experience with Microsoft Fabric is preferred.
• The provided description begins an additional preferred qualification about Databricks and modern lakehouses but ends before the item is complete.