Data Engineer – Snowflake

1 week ago


Windsor, Ontario, Canada Recrute Action Full time $82,000 - $90,000 per year
Data Engineer – Snowflake & 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 $ 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'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.

• English and French to support data governance, documentation, and collaboration across teams in both languages.

Why Recruit Action?

Recruit Action (agency permit: AP 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

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