Data Engineer
- Canada
- Remote
- Posted Oct 1, 2026
- 1 position
$90,000–$115,000 / year
Opens an external site
- Employment type
- Full-time
- Experience level
- Entry, Junior · 0+ years
- Posting language
- English
- Working hours
- 40 hours per week
- Seniority
- Entry level
Job summary
Develop and maintain data pipelines and ETL processes, integrating, transforming, and validating data from multiple sources for reporting and analytics. Support data warehouse and database development, data quality checks, workflow automation, pipeline monitoring and troubleshooting, and technical documentation in collaboration with analytics, technology, and business teams.
Job details
Role: Data Engineer Location: Canada (Remote) Employment Type: Full-Time Work Authorisation: Canadian Citizen / Permanent Resident (PR) / Valid Canadian Work Permit Pay Rate: CAD $90,000 – $115,000 per year Travel: Not Required Who Should Apply: # Business Intelligence Analysts, Database Analysts, SQL Developers, Database Developers, Analytics Engineers, Reporting Analysts, Data Integration 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 etc and others. # Professionals returning to the workforce # Individuals from diverse backgrounds Job Description We are seeking a motivated and detail-oriented Data Engineer to support data integration, data processing, ETL development, data pipelines and 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. Key Responsibilities: 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. Apply now to explore more about this opportunity.
What you’ll do
Develop and maintain data pipelines and ETL processes, integrating, transforming, and validating data from multiple sources for reporting and analytics. Support data warehouse and database development, data quality checks, workflow automation, pipeline monitoring and troubleshooting, and technical documentation in collaboration with analytics, technology, and business teams.
Requirements
The posting does not specify formal education, years of experience, or required certifications. It seeks a motivated, detail-oriented candidate able to support SQL-based data extraction and transformation, data integration, pipeline operations, and collaboration with technical and business stakeholders.
Listed skills
- SQL · Preferred
- Data Validation · Preferred
- Troubleshooting · Preferred
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Data Pipeline Development
- ETL Development
- Data Integration
- Data Processing
- SQL
- Data Transformation
- Data Validation
- Structured Data
- Semi-Structured Data
- Data Warehousing
- Database Development
- Data Migration
- Data Cleansing
- Data Reconciliation
- Data Quality
- Troubleshooting
Job areas
- Data & Analytics
- Technology
- Software