Join RBC as a Data Engineer and leverage your expertise in AI and machine learning. Transform raw data into valuable insights by building efficient data pipelines and solutions.
In this pivotal role at RBC, you will focus on creating a robust data foundation that supports AI innovations. Collaborate with ML Developers and Researchers to ensure data integrity and optimize workflows. Your responsibilities involve enhancing existing systems while delivering high-quality datasets for AI applications.
Key Responsibilities:
• Design and optimize data models and storage patterns
• Build and maintain scalable data pipelines for high-quality datasets
• Implement DataOps and MLOps automation across workflows




• Write production-quality code and conduct thorough code reviews
• Troubleshoot performance issues to enhance system reliability
Requirements:
• Bachelor’s degree in computer science or related field
• Robust SQL and NoSQL database fundamentals
• Proficiency in production-grade coding and software engineering
• Expertise in data modeling and distributed systems
• Excellent communication skills for cross-functional collaboration
Contribute to AI-driven projects and help shape the future of RBC’s AI innovations.
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📌 Data Engineer for AI at RBC (Vancouver)
🏢 RBC
📍 Vancouver