Data Engineer
Summary
Builds and maintains ETL pipelines and data workflows using Python, Databricks, and Snowflake for a banking client in a hybrid Agile environment.
Base pay range
$50.00/hr - $60.00/hr
Location: Montreal, QC (Hybrid – 3 days onsite) - candidates MUST be local to Montreal area to be considered.
Contract: 12 months (with possible extensions)
Rate: Up to $60/hr
About the Role:
We’re seeking a Data Engineer with 4+ years of experience to join our team and support a strategic banking client. This role involves designing and implementing scalable data pipelines and ETL processes using Python, Databricks, and Snowflake.
Key Responsibilities:
- Build and optimize ETL pipelines for data transformation
- Collaborate with cross-functional teams in an Agile environment
- Develop and maintain data workflows, ensuring accuracy and performance
- Implement testing and CI/CD for reliable deployments
- Work with cloud platforms and big data technologies
Must-Have Skills:
- Strong Python experience (Pandas, NumPy, PySpark)
- Expertise in Databricks and Snowflake
- Solid understanding of ETL principles and data modeling
- Familiarity with Agile methodologies
- Experience with big data tools (Spark, Hadoop)
Nice-to-Have:
- Knowledge of regulatory requirements
Seniority level
- Associate
Employment type
- Full-time
Job function
- Engineering and Information Technology
Industries
- Information Services, Data Infrastructure and Analytics, and IT System Data Services