Azure Data Engineer

Toronto, ON
Hybrid
Posted Oct 13, 2026
1 position

$50–$55 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 7+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Build scalable ETL/ELT pipelines using Azure data technologies, Python, and SQL. Schedule, monitor, and troubleshoot jobs, validate data quality, optimize Spark performance, and provide technical leadership.

Job details

Job Title: Azure Data Engineer Location: Toronto, ON Work Arrangement: Hybrid (3-4 days a week) Employment Type: Contract Duration: 06-12 Months Pay Rate: CAD 50-55/hour Incorporated Domain: BFSI Application Deadline: Oct. 30th, 2026 SKILLS REQUIRED: 7+ years of experience in Data Engineering and Data Warehousing, including 5+ years with Azure Data Platform technologies. Strong hands-on experience with Azure Databricks, PySpark, and Azure Data Factory (ADF). Expertise in building scalable ETL/ELT pipelines using ADLS, Python, and SQL. Hands-on experience with Autosys for job scheduling, monitoring, and troubleshooting. Strong understanding of Spark architecture, distributed computing, and performance optimization. Experience with MySQL, data quality validation, Git/Azure DevOps, and technical leadership. EEOC Compliance: We are an equal opportunity employer, and all qualified applicants will receive consideration for employment. DISCLAIMER AI Usage Policy: Pacer Group uses AI to assist in screening applications. Final hiring decisions are made by human recruiters based on qualifications and experience.

What you’ll do

Requirements

Requires 7+ years of data engineering and data warehousing experience, including 5+ years with Azure Data Platform technologies. Candidates should have hands-on experience with Azure Databricks, PySpark, ADF, ADLS, Autosys, MySQL, Git/Azure DevOps, and Spark performance optimization.