Senior Data Engineer

Ottawa, ON
Hybrid
Posted Oct 9, 2026
1 position

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Employment type: Contract
Experience level: Senior · 5+ years
Minimum education: Bachelor’s degree
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop and deploy enterprise-scale ETL pipelines using Databricks and PySpark, working with large datasets and SQL Server. Contribute architectural and design expertise to enterprise cloud data platform migration and data warehousing initiatives.

Job details

Location: Ottawa/Toronto (Hybrid) Duration: 12+ Months Job Description: This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems Skills: 5+ years - SQL Server based development of large datasets 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills. Education Minimally a BA degree within an engineering and/or computer science discipline Master’s degree strongly preferred

What you’ll do

Requirements

Requires at least five years of SQL Server development with large datasets and experience developing and deploying Databricks PySpark ETL pipelines. Candidates should have cloud data warehouse and data modeling experience, strong architecture and design skills, and at least a bachelor's degree in engineering or computer science; a master's degree is strongly preferred.