Software Developer - ETL - Senior

Toronto, ON
On-site
Posted Oct 9, 2026
1 position

$90–$95 / hour

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

Job summary

Develop and maintain ETL programs for daily and initial data loads across structured and semi-structured files, relational databases, and multidimensional data stores. Implement and maintain ETL scheduling and dependency logic, and support data integration, cleansing, analytics, data modeling, and database administration.

Job details

Job Role: Software Developer - ETL - Senior Location : Toronto, ON/Onsite Position Type : Contract Role Start Date 2027-01-05 End Date 2027-10-05 5 days Onsite in a week Ideal Candidate Rate: CAD 90-95/Hr (Depending on the experience) Must Have: Experience with the Microsoft suite of technology including: Azure Data Factory, Azure SQL Database, Azure Data Lake, and Power BI Experience with Databricks Platform Experience with the Amazon Web Services (AWS) suite of technology including: Amazon Aurora, Amazon Relational Database Search, Glue, OpenSearch, etc. Experience with developing data extraction, transformation, and load programs (daily and initial load) functionality on a wide range of data repositories (structured and semi-structured files, relational and multi-dimensional data stores) Experience with developing, implementing, and maintaining schedule/dependency logic for Extract Transform Load (ETL) scripts Experience with data integration, data cleansing, and data analytics Experience with data modeling and design principles for data marts and data warehouses Experience in database management and administration Note: AI-enabled tools may be used to sort applications based on job-related criteria. All AI generated results are vetted by our team and the decision of which candidates move forward is always made by a human.

What you’ll do

Requirements

Candidates must have experience with Microsoft Azure data technologies, Power BI, Databricks, and AWS data services. They must also have experience developing ETL processes, managing schedules and dependencies, integrating and cleansing data, designing data marts and warehouses, and administering databases.