Senior Data Engineer (Cloud/AWS)

ODAIA; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading technology firm in Toronto is seeking an experienced Data Engineer to develop and maintain scalable data stores that supply big data for business analysis. The ideal candidate has at least 5 years of experience with cloud platforms like AWS and expertise in PySpark for data engineering. The role requires strong communication, collaboration skills, and a passion for technical innovation. This position offers a competitive salary, flexible work options, and the opportunity to work in a high-performing, dynamic team.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

World-class training program in financial services

Qualifications

• 5+ years of professional experience with cloud platforms, including Amazon Web Services (AWS).
• 5+ years of experience with PySpark for Data Engineering/ETL pipelines.
• Strong problem-solving skills and ability to debug complex issues.

Responsibilities

• Develop and maintain backend systems using Python, ensuring high performance.
• Participate in design and implementation of ETL pipelines using PySpark.
• Mentor and guide engineers while providing technical guidance.

Skills

AWS

PySpark

Docker

Kubernetes

DevOps practices

Agile methodologies

Python

Job description

Job Description

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 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?

• Develop and maintain backend systems using Python, PySpark ensuring high performance, scalability, and reliability
• Participate in the design and implementation of data engineering and ETL pipelines using PySpark
• Collaborate with cross-functional teams to identify and prioritize project requirements
• Mentor and guide engineers, providing technical guidance and code reviews
• Stay up-to-date with the latest technologies and frameworks, and apply this knowledge to improve existing systems and processes
• Lead the technical direction of the team, including architecture, design, and implementation of software systems
• Collaborate with product owners to define and prioritize requirements
• Develop and maintain technical documentation, including architecture diagrams, and technical specifications
• Participate in code reviews, ensuring high-quality code and adherence to coding standards
• Collaborate with DevOps and Operations teams to ensure smooth deployment and operation of applications

What do you need to succeed?

Must Have:

• 5+ years of professional experience with cloud platforms, including Amazon Web Services (AWS), and OCP (Open Shift)
• 5+ years of experience with PySpark for Data Engineering/ETL pipelines
• Familiarity with containerization using Docker and orchestration using Kubernetes
• Expert in DevOps practices and tools for CI/CD pipelines
• Willingness to learn new technologies and adapt to new challenges
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams
• Ability to drive technical innovation, including researching new technologies, evaluating technical options, and recommending technical solutions
• Strong problem-solving skills, with the ability to debug complex issues, optimize system performance, and ensure high-quality software deliverables
• Experience with Agile development methodologies, including Scrum or Kanban, and the ability to apply these principles to lead the team

Nice to have:

• Proven experience in leading technical teams, including technical guidance, mentoring, and coaching
• Strong technical leadership skills, including the ability to make technical decisions, prioritize tasks, and manage technical resources

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
• Leaders who support your development through coaching and managing opportunities
• Ability to make a difference and lasting impact
• Work in a dynamic, collaborative, progressive, and high-performing team
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work

Job Skills

Amazon S3, Amazon Sagemaker, AWS Architecture, AWS Devops, AWS Ecosystem, AWS Glue, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis

Additional Job Details

Address: RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2025-11-13

Application Deadline: 2025-11-30

Note

Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.