Data Engineering Jobs in Canada
There are 1,539 open Data Engineering jobs in Canada on freehire right now. 570 of them were posted recently. The skills employers ask for most often are sql, python and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| CAD | year | CA$111,320 | CA$132,500 | CA$159,300 | 233 |
| CAD | hour | CA$65 | CA$72 | CA$92 | 36 |
| USD | year | $117,500 | $140,000 | $170,000 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- sql 63%
- python 62%
- cloud 59%
- data-engineering 57%
- analytics 55%
- data-pipelines 55%
- etl 47%
- ai 47%
How the work is done
- Hybrid 250 · 16%
- Remote 137 · 9%
- Onsite 16 · 1%
Visa sponsorship offered in 44% of the 111 postings that state a position on it.
Seniority
- Senior 552
- Lead 135
- Staff 49
- Principal 32
- Junior 29
- C-level 19
Who is hiring
- 1000+ employees 312
- 501-1000 employees 112
- 51-200 employees 35
- 11-50 employees 21
- 201-500 employees 16
- 1-10 employees 2
Senior Data Engineer - Snowflake AI Pipelines & Cloud
The Senior Data Engineer will design and implement scalable data solutions using Snowflake, Python, and Informatica. The role focuses on building data pipelines, implementing Medallion Architecture, and deploying CI/CD processes for AI-enabled data systems.
Information Coordinator - Data Engineering
Oversee data engineering projects and lead a team of analysts in database administration and data pipeline development for a municipal government, working with SQL, data lakes, and cloud platforms.
Senior Data Engineer: ETL & Data Warehouse Architect
Senior Data Engineer designing and maintaining enterprise ETL pipelines and data warehouse solutions, ensuring data integrity and accessibility within a hybrid Data & Analytics team.
Senior Talend Data Engineer – Data Integration & APIs
The Senior Talend Data Engineer will design, build, and maintain data integration solutions and secure APIs for the Government of Alberta's DRAS program. The role involves collaborating with stakeholders to manage ETL processes across on-premises and cloud environments using the Talend platform.
Junior Data Engineer: Cloud Pipelines & Snowflake
The Associate Data Engineer will build and maintain scalable data platforms using Snowflake and cloud-based tools. The role involves collaborating with cross-functional teams to develop ETL/ELT pipelines and data models.
Applied AI & Data Engineer — Energy Data Pipelines
Build and ship energy data pipelines and applied AI components in production for a climate-software company, using Python, SQL and a cloud data warehouse with emphasis on observability and production-readiness.
Associate Data Engineer
Associate Data Engineer supporting Dentalcorp's data/analytics transformation by developing and maintaining data pipelines, working with Snowflake and cloud data platforms, and ensuring data quality across 500+ dental clinics.
Senior Data Engineer
The Senior Data Engineer will design, build, and maintain scalable data platforms and infrastructure while mentoring team members. The role involves using technologies like AWS, Snowflake, dbt, and Python to align data architecture with business goals in a remote-first environment.
Senior Data Engineer
The Senior Data Engineer will design and maintain scalable data pipelines using Snowflake, Python, and AWS to support financial data analytics. The role involves implementing Medallion Architecture and leveraging Snowflake's AI/ML capabilities within a hybrid office environment.
Data Platform Engineer (DevOps)
The Data Platform Engineer will build and maintain cloud data infrastructure and pipelines using AWS, Databricks, Terraform, and Kubernetes. This role involves managing CI/CD processes and developing streaming data workflows to support analytics and AI products.
Senior Data Engineer
The Senior Data Engineer will work on a high-traffic global product, managing large-scale batch and real-time ETL processes. The role requires expertise in Python, SQL, cloud data services, and data warehousing to support business intelligence initiatives.