Data Engineer Role

Join RBC as a Senior Data Engineer and drive innovation in AI-enhanced underwriting. This full-time role focuses on building robust data solutions in a dynamic team.
As part of the Global Functions Technology team, you'll develop data pipelines and manage feature extraction for ML initiatives. Collaborate closely with cross-functional teams to ensure data integrity and compliance while applying agile methodologies.

Your role is pivotal in implementing reusable pipelines and optimizing quantitative algorithms lifecycle management.

Key Responsibilities:

• Create pipelines for feature extraction and transformation

• Ensure data quality and governance for regulatory compliance

• Partner with data scientists to align feature definitions

• Implement automated MLOps solutions for ML model efficiency

• Conduct data analysis and feature engineering for model training
Requirements:

• Degree in Computer Science, Mathematics, or related field

• 4+ years in application programming and data engineering

• Proficiency in Python, PySpark, and relevant ML frameworks

• Experience with Dev Ops tools and practices

• Ability to drive innovation and communicate effectively
Lead transformative projects and impact client relations through data engineering excellence at RBC.
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