Software Development Engineer (Java/Scala)

RBC • Toronto, ON

33d

About The Position

What is the opportunity? Supports the development and maintenance of scalable data stores that supply big data in forms needed for business analysis. Applies experience and seasoned knowledge, skills, and practices to perform a variety of assignments. What will you do? Design, build, and review scalable data pipelines, analytics platforms, and ML systems. This is a hands-on role with end-to-end ownership, with significant time doing coding. Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation. Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions. Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.

Requirements

• 5+ years developing in Java/Scala
• 5+ years of experience in building high performance, backend applications with Spring/Spring Boot etc.
• 3 + years hands on experience with any of the big data tools (e.g. Apache Spark/Hadoop/ AWS Glue/ AWS EMR/Snowpark/Azure Databricks/Azure Data Factory)
• Excellent communication skills—able to clearly explain complex technical concepts to both technical and non-technical audiences.
• Bachelor’s degree in computer science, Engineering, or a related field; Master's or PhD preferred.

Nice To Haves

• Proven experience in cloud platforms like AWS or Azure, with knowledge of scalable architecture patterns.
• Familiarity of front-end frameworks (e.g. React, Angular)

Responsibilities

• Design, build, and review scalable data pipelines, analytics platforms, and ML systems.
• Set Technical Direction: Define and promote best practices in data and ML engineering. Evaluate emerging technologies and guide adoption to drive innovation.
• Partner Cross-Functionally: Work closely with data scientists, business leaders, and IT teams to understand needs and translate them into technical solutions.
• Deliver at Scale: Ensure projects are executed with high quality, on time, and aligned with business goals. Proactively identify risks and enforce compliance standards, especially around data governance and security.

Benefits

• A Total Rewards program that includes flexible benefits, work/life balance and career development programs and investment and retirement savings plans
• Competitive pay and high-earning potential
• All the tools, training, and team support you need to grow your business and career
• Flexible work/life balance options

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees