Data Engineer
RBC•Toronto, ON
•Onsite
About The Position
Working within Wealth Management Global IT Data Services Canada, this role is for a Senior Software Engineer specializing in AI-driven agent development using Python, SQL, and Snowflake technologies. The engineer will leverage modern development tools including Copilot and Windsurf to build intelligent, scalable solutions. This position is within a dynamic, highly technical team with a proven track record of delivering innovative AI-powered solutions. It is a hands-on, independent technical role with opportunities for growth.
Requirements
- Strong experience with Python development (5-7 years) and modern frameworks
- Hands-on expertise with Snowflake data warehouse and SQL query optimization
- Proven experience developing AI-based agents and intelligent automation solutions
- Proficiency with Copilot and Windsurf development environments
- Experience with REST APIs and modern integration patterns
- Strong SQL skills including complex queries, stored procedures, and performance tuning
- Experience with containerization (Docker, Kubernetes) and DevOps practices
- Proficiency with version control (Git) and CI/CD pipelines
- Experience in both Agile and Waterfall environments
Nice To Haves
- Experience with machine learning frameworks and LLM integration
- Prior experience managing or mentoring small teams
- Exposure to enterprise data governance and data quality tools
- Experience with cloud platforms and infrastructure automation
- Hands-on experience with IBM DataStage and ETL tools
Responsibilities
- Design and develop AI-based agents and intelligent automation solutions using Python and copilot-assisted development
- Build and optimize data pipelines and analytics solutions leveraging Snowflake and SQL
- Contribute to successful solution development and delivery by identifying risks and developing/recommending mitigation strategies
- Participate in code reviews and technical design reviews of all AI agent architectures, specifications, and implementation plans
- Collaborate with data engineering and infrastructure teams to optimize Snowflake queries and database performance
- Assist DevOps/support teams in troubleshooting production issues and performance optimization
- Mentor team members on Python best practices, AI agent development, and Snowflake optimization techniques
Benefits
- Salaried pay type
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
