Data Engineering Jobs in Canada
There are 1,547 open Data Engineering jobs in Canada on freehire right now. 575 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$111,390 | CA$132,924 | CA$159,300 | 234 |
| 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 54%
- etl 48%
- ai 47%
How the work is done
- Hybrid 253 · 16%
- Remote 138 · 9%
- Onsite 16 · 1%
Visa sponsorship offered in 44% of the 111 postings that state a position on it.
Seniority
- Senior 553
- Lead 136
- Staff 49
- Principal 32
- Junior 29
- C-level 20
Who is hiring
- 1000+ employees 313
- 501-1000 employees 112
- 51-200 employees 35
- 11-50 employees 21
- 201-500 employees 16
- 1-10 employees 2
Senior Data Engineer
Senior Data Engineer builds and optimizes large-scale data pipelines for Samsung’s cloud services and devices, processing TBs of data daily using AWS, Spark, Kafka, and Python.
Data Engineering Specialist
Builds and maintains data pipelines and analytics-ready datasets in Snowflake and Power BI for large capital-infrastructure programs, using Azure Data Factory to ingest and transform messy data from ERP, PMIS, and external sources.
Senior Data Engineer: Build Scalable Data Pipelines
Senior Data Engineer at Springfinancial designs and maintains scalable data pipelines for financial products, ensuring reliable data access and collaborating with data scientists and engineers.
Senior Data Engineer
Build data pipelines and a knowledge graph to unify messy engineering data (BIM, PDFs, spreadsheets) into a queryable system for AEC firms.
Sr Data Engineer -
Build and optimize scalable data pipelines, ML workflows, and AI systems on Databricks using Spark, Delta Lake, MLflow, and Mosaic AI.
Manager, Data Engineering
Lead a team of data engineers to build and maintain scalable data pipelines and warehouses using SQL, Python, Snowflake, and DBT for a fast-growing Canadian dental healthcare network.
Data Engineering Lead and Data Engineers
Lead and build cloud data pipelines using Python, PySpark, SQL, and Databricks for enterprise banking systems, ensuring efficient ingestion, transformation, and analytics at scale.
Data Engineer
Designs and maintains scalable data pipelines and ETL processes using SQL, Python, and Google BigQuery to support retail and e-commerce analytics in GCP.
Data Engineer
Build and maintain ETL pipelines in Databricks for a Capital Markets data hub, setting standards and enabling clean data flows across teams.
Data Engineer
Designs and maintains data pipelines, optimizes SQL schemas, and ensures reliable ETL processes for analytics and reporting.
Dynamic Data Developer for Scalable Data Engineering Projects
Build and optimize data pipelines and lakes for AI systems, focusing on RAG architectures and data quality to support machine learning research and analytics.
Data Engineer & Data Architect (Onsite)
Designs and maintains data infrastructure, ETL pipelines, and cloud-based warehouses to support analytics and reporting for a construction/infrastructure-focused company.
Staff Data Engineer
Build and own the real-time data pipelines and infrastructure that feed AI models for a biotech platform, integrating customer systems and ensuring clean, reliable data at scale.
Data Engineering Analyst
Build and secure Snowflake and AWS data infrastructure, automate provisioning with Terraform, and implement RBAC and governance for regulated financial analytics.
Data Engineering Lead
Leads a team building scalable data platforms on Azure/AWS, using Spark, Hadoop, and Airflow to power enterprise analytics and AI solutions.
Data Engineering Lead
Lead a team to design and build data pipelines and warehouses for enterprise clients, using Python/Java/Scala, cloud platforms, and ETL tools.