Data Engineer
Job in
Oakville, Ontario, B8B, Canada
Listed on 2026-10-11
Listing for:
Staffing Inc.
Full Time
position Listed on 2026-10-11
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Warehousing, Database Administrator
Job Description & How to Apply Below
Role:
Data Engineer
Location:
Canada (Remote)
Employment Type:
Full-Time
Work Authorization:
Canadian Citizen / Permanent Resident (PR) / Valid Canadian Work Permit
Pay Rate: CAD $90,000 $ 115,000 per year
Travel:
Not Required
- Business Intelligence Analysts, Database Analysts, SQL Developers, Database Developers, Analytics Engineers, Reporting Analysts, Data Integration Analysts, Data Warehouse Analysts, Business Analysts, Systems Analysts, Business Systems Analysts, Application Support Analysts, Data Quality Analysts, Data Operations Analysts, IT Analysts, Data Engineers, Junior Data Engineers, Data Analysts, Data Developers, ETL Developers, BI Developers etc and others.
- Professionals returning to the workforce
- Individuals from diverse backgrounds
We are seeking a motivated and detail-oriented Data Engineer to support data integration, data processing, ETL development, data platform initiatives
. You will work closely with data, analytics, business
and technology teams to build reliable data solutions and ensure data is accessible, accurate and ready for reporting and analysis.
- Assist with designing, developing, and maintaining data pipelines and ETL processes
. - Collect, transform, validate and integrate data from multiple sources.
- Work with structured and semi-structured data for reporting and analytics.
- Write and maintain SQL queries for data extraction, transformation and validation.
- Support data warehouse and database development activities.
- Assist with data migration, cleansing, reconciliation and quality checks.
- Monitor data pipelines and troubleshoot processing or integration issues.
- Collaborate with Data Analysts, BI teams, developers and business stakeholders.
- Support automation of data processing and recurring data workflows.
- Prepare technical documentation for data pipelines, data sources and processes.
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