Data Engineer

Toronto, ON
Hybrid
Posted Oct 9, 2026
1 position

$46–$50 / hour

Opens LinkedIn

Employment type: Contract
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Office presence: 3 days per week
Seniority: Not Applicable
Application method: Direct apply is available

Job summary

Design, build, and maintain scalable data pipelines and integration solutions supporting enterprise reporting, analytics, and business operations. Collaborate with data architects, BI engineers, and business stakeholders to transform data from multiple source systems into trusted, high-quality datasets.

Job details

JOB DESCRIPTION Employment: 6-Month Contract Location: Toronto, ON - 2-3 Days Per Week Rate: $46-$50 Per Hour Insight Global is looking for Data Engineers to join a leading bank based in Toronto on a contract basis. The success candidate will be responsible for designing, building, and maintaining scalable data pipelines and integration solutions that support enterprise reporting, analytics, and business operations. This role works closely with data architects, BI engineers, and business stakeholders to transform data from multiple source systems into trusted, high-quality datasets. REQUIRED SKILLS AND EXPERIENCE 5+ years of experience as a Data Engineer Proficient in T-SQL, Pyspark, Mapping Dataflow and Python programming language Data governance framework knowledge Hands-on experience with Azure data services, including Azure Data Factory, Azure Data Lake, Azure Function App, Azure Logic App, Azure SQL Database, Azure Synapse Analytics, mapping dataflow, and Event Hub Experience with Denodo for data virtualization NICE TO HAVE SKILLS AND EXPERIENCE Microsoft Fabric GCP We may use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position. Vacancy: This posting is for a currently vacant role, and the successful candidate will be hired into an existing open position.

What you’ll do

Requirements

Requires 5+ years of data engineering experience and proficiency in T-SQL, PySpark, Mapping Dataflow, and Python. Candidates should have data governance knowledge, hands-on experience with Azure data services, and experience with Denodo; Microsoft Fabric and GCP are nice to have.