Data Engineer

Canada
Remote
Posted Oct 17, 2026
1 position

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Employment type: Full-time
Experience level: Senior · 5+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Design, develop, and maintain scalable batch and streaming data pipelines using Azure Databricks, Delta Live Tables, and Databricks Workflows. Implement data quality checks, monitoring, alerting, troubleshooting, and performance optimization for data pipelines.

Job details

Advanced Data Engineer Canada (Remote) Full-time Must-Have Skills: Strong proficiency in Python, PySpark, and PyTest with solid software engineering best practices. Strong understanding of OOP concepts. Hands-on experience with Azure Databricks and Delta Live Tables (DLT). Experience designing, developing, and maintaining scalable batch and streaming data pipelines using Databricks Workflows. Strong knowledge of data architecture, data modeling, and ETL/ELT processes. Experience with Azure cloud services, including storage, compute, and security. Hands-on experience with Databricks Unity Catalog. Knowledge of workflow orchestration, pipeline monitoring, alerting, and troubleshooting. Experience implementing data quality checks, validation, and performance optimization. Strong understanding of Agile methodologies and collaborative development practices. Good to Have: GitHub Actions, CI/CD, and Datadog exposure.

What you’ll do

Requirements

Requires strong Python, PySpark, and PyTest skills, software engineering practices, and knowledge of object-oriented programming, data architecture, data modeling, and ETL/ELT. Candidates should have hands-on experience with Azure Databricks, Unity Catalog, Azure cloud services, pipeline orchestration, and Agile collaboration; GitHub Actions, CI/CD, and Datadog are desirable.