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| Job Location | Toronto, Ontario, Canada, M4C |
| Education | Not Mentioned |
| Salary | Starting at $82.000 |
| Industry | Not Mentioned |
| Functional Area | Not Mentioned |
| Job Type | Full time |
Data Engineer – Snowflakeamp; DBT (Remote) Design and optimize cutting-edge data pipelines and warehouse solutions using Snowflake and DBT in a fully remote role across Québec or Ontario. This permanent opportunity offers a salary of $82–90K (negotiable based on experience) and the chance to work in a dynamic, cloud-based environment with strategic impact.What is in it for you:• Salary starting at $82.000 (negotiable based on experience).• Annual bonus based on individual performance and company profitability, paid at the end of the fall.• Permanent full-time position (40 hours/week), Monday to Friday, between 8 am and 5 pm.• 3 weeks of vacation per year, depending on seniority.• Comprehensive benefits package available after 90 days: dental and medical insurance, massage therapy, chiropractic care, and more.• Retirement savings plan: voluntary contribution of up to 3% of salary, with matching employer contribution.Responsibilities:• Design, build, and maintain data pipelines, warehouses, and data models using Snowflake and DBT.• Collaborate with cross-functional teams to gather data requirements and develop efficient data architectures.• Implement and manage ETL/ELT processes across structured and unstructured data sources using tools such as Azure Data Factory and SQL.• Enforce data governance protocols including quality, lineage, metadata management, and security compliance.• Monitor system performance, conduct tuning, and proactively address bottlenecks.• Maintain documentation of data processes, architecture, and technical specifications.• Contribute to team knowledge by supporting peers and staying current on data engineering trends.What you will need to succeed:• Bachelor #39;s or graduate degree in computer engineering, data science, mathematics, or a related discipline.• Relevant certifications in Azure Data Services or Snowflake are considered an asset.• 4–6 years of experience in data engineering or a related field.• Proficient in SQL and familiar with both relational and NoSQL databases (e.g., MS SQL Server, Snowflake, PostgreSQL, Cosmos DB).• Hands-on experience with Snowflake and DBT for warehousing and data transformation.• Skilled in designing and optimizing data pipelines and ETL/ELT workflows.• Experience with cloud platforms, particularly Azure, and cloud-based storage systems.• Familiarity with data pipeline and orchestration tools such as Azure Data Factory, Airflow, Azkaban, or Luigi.• Experience leveraging REST APIs for data integration.• Comfortable working in multidisciplinary teams to address complex data processing challenges.Why Recruit ActionRecruit Action (agency permit: AP-2504511) provides recruitment services through quality support and a personalized approach to job seekers and businesses. Only candidates who match hiring criteria will be contacted.# GE220725