Data Engineering Jobs in Canada
There are 1,547 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$111,390 | 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 56%
- 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 112 postings that state a position on it.
Seniority
- Senior 553
- Lead 135
- Staff 49
- Principal 32
- Junior 29
- C-level 20
Who is hiring
- 1000+ employees 314
- 501-1000 employees 112
- 51-200 employees 35
- 11-50 employees 20
- 201-500 employees 16
- 1-10 employees 2
Big Data Engineer
Builds and maintains big-data pipelines using Spark, Scala, Hive, and SQL for a financial-sector client, with optional real-time streaming.
Data Engineer
Builds and maintains data pipelines to migrate legacy sources (DB2, Teradata, files) into Snowflake, writes Python ETL scripts, and helps business teams create Power BI dashboards for data-driven decisions.
Data Engineer
Design and maintain scalable data pipelines using Snowflake, Databricks, Python, and SQL to build ETL/ELT solutions and cloud-native analytics platforms for enterprise reporting.
Data Engineer
Build and maintain data pipelines, optimize PostgreSQL/Snowflake systems, and automate data integrity checks for a SaaS platform that helps companies manage ESG disclosures.
Senior Data Engineering Leader, AI Platforms & Architecture
Leads a team to design and maintain Unilever’s AI and data architecture platforms, ensuring compliance and integration across global teams.
Data Engineer
Design and build cloud-based data pipelines and warehouses using Azure Data Factory to integrate and transform research data for reporting and analytics at a top public university.
Data Engineer
Build and maintain scalable data pipelines on AWS and GCP, using dbt, PySpark, and Terraform to support healthcare analytics and EHR integrations.
Data Engineer - Montréal
Designs and maintains scalable big-data pipelines on Databricks/Delta Lake to feed BI and decision systems, ensuring reliability, cost control, and data quality for an ad-tech platform.
Data Engineer
Senior Data Engineer builds secure, scalable pipelines and cloud data infrastructure to power real-time analytics and ML models for a cleantech firm optimizing energy storage and costs.
Senior Data Engineer/ETL Developer
Builds ETL pipelines and data warehouses from scratch using Snowflake, Python, and Informatica IICS, then exposes clean data via Tableau for ESG and operational dashboards.
Data Engineer
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Data Engineer
Design and scale data pipelines for enterprise AI systems and analytics workloads using SQL, ETL/ELT, and cloud data platforms.
Data Engineer
Build and maintain ETL pipelines, streaming data flows, and vector databases to power AI-driven marketing platforms using Databricks, Spark, and GCP.
Data Engineer
Builds and maintains AWS Lakehouse infrastructure, ELT pipelines, and data models to power analytics and AI features for trade-contractor software.
Data Engineer
Designs and builds data pipelines in Azure, using PySpark, SQL, and Unity Catalog to ingest, transform, and visualize large datasets for analytics and reporting.
Data Engineer
Convert legacy SAS code to PySpark/SQL, migrate DB2 data to cloud lakes, and build automated testing pipelines on Databricks.
Data Engineer
Build and own a modern Data Lakehouse (Delta Lake) for smart metering and IoT telemetry, migrating legacy systems and ensuring data quality across high-volume energy and building automation workloads.