Data Engineering Tools Developer

Position: Data Engineering Tools Developer at RBC
Elevate data pipeline development with RBC as a Data Engineering Tools Developer in Toronto. Focus on creating Python frameworks, Streamlit applications, and extensive engineering tools to enhance team efficiency.

In this full-time role at RBC, you will design and build essential frameworks and tools for the Data Engineering team. Collaborate with data engineers, platform engineers, and data architects to ensure efficient data pipeline management and governance. The role demands strong Python proficiency and experience in building data processing frameworks and interactive dashboards.

Key Responsibilities:

• Design and develop internal tools for data pipeline automation

• Build reusable Python libraries for data ingestion and monitoring

• Create dashboards with Streamlit for effective data visualization

• Collaborate to standardize pipeline development and testing patterns

• Enhance data pipeline observability and operational support

Requirements:

• Bachelor’s degree in Computer Science or related field

• 4–7 years' experience in software or data engineering

• Strong proficiency in Python and SQL

• Experience with Streamlit or similar frameworks

• Familiarity with Git and Agile practices

Leverage your Python skills and data engineering expertise to impact RBC's data-driven initiatives.
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