Staff Data Engineer (Global Security)

RBC; Toronto; On-site; CAD 90,000 - 150,000; Full time

Benefits offered by this job

Total rewards program

Progression opportunities

Job summary

RBC in Toronto is seeking a data engineer to design and build data solutions using CDP, Spark, and AWS services. You will gather requirements, explore new projects, and contribute to the RBC data community.

You will join a cross-functional Agile team delivering end-to-end data capabilities, while applying DevOps and SRE practices to automate and scale solutions. A passion for big data and modern cloud architectures is required.

Qualifications

• Experience with CDP (Cloudera Data Platform).
• Experience with Spark, Hive, Kafka, NiFi and other big data tech.
• Experience with Airflow for job orchestration.
• Experience with HDFS and S3 storage.
• Experience with AWS data products (SageMaker, Neptune, Glue, EC2, EMR, Lambda).
• Experience with containerized apps and deployment (Docker, OpenShift).
• Programming in Python, Java, and Linux shell scripting.
• CI/CD and version control, code reviews and best practices.
• GitHub Actions and safe-settings.
• Experience with relational DBs, NoSQL, and Neo4j.
• LLM-assisted development using structured markdown, skills, agents and MCP servers.

Responsibilities

• Design and build data solutions using latest tools, gathering requirements and exploring new projects.
• Contribute to RBC development community beyond your team.
• Identify better methods, new tools, and scalable solutions.
• Deliver value on transformational and BAU projects while maintaining existing apps.
• Work in a cross-functional agile team delivering end-to-end business needs.
• Apply DevOps and SRE mindset to automate processes.
• Collaborate with other teams and stakeholders.

Skills

Python

Java

Linux shell scripting

CI/CD practices

GitHub

Communication

Problem solving

Tools

Cloudera Data Platform

Apache Spark

Apache Hive

Apache Kafka

Apache NiFi

Airflow

HDFS

S3

SageMaker

Neptune

Glue

EC2

EMR

Lambda

Docker

OpenShift

Snowflake

Neo4j

Job description

What is the opportunity?

Excited by data? This is your opportunity to join the RBC Data + AI team. We believe that Hadoop and Cloud are compute grid and not just a data store, and that utilizing the right tools for the job is a priority. We are a team that believes being agile is a way of thinking, and not a process to follow. We believe in going big, pushing the boundaries, daring to fail and that the community is greater than any hero and that competency is greater than any corporate title.

Job Description

We believe that Hadoop and Cloud are compute grid and not just a data store, and that utilizing the right tools for the job is a priority. We are a team that believes being agile is a way of thinking, and not a process to follow. We believe in going big, pushing the boundaries, daring to fail and that the community is greater than any hero and that competency is greater than any corporate title.

What will you do?

• Utilizing the latest technologies available, you will design and build data solutions to meet business needs, independently gathering requirements, researching and taking on new projects for which there is no template and the tool set may be new.
• Be an active contributor to not only your individual team, but to the RBC development community.
• Seek out better ways to do things, new tools, new technologies, new processes, prioritizing simple, re-usable and scalable solutions over complex ones.
• Work on both transformational and BAU projects delivering new value while also maintaining and enriching existing applications and processes.
• Work as part of a cross-functional agile team responsible for end-to-end delivery of business needs.
• Use your DevOps and SRE mindset to automate everything.
• Leverage your soft skills to problem-solve, present information, brainstorm solutions, communicate and collaborate with other teams and stakeholders.

What do you need to succeed?

Must-have

• Experience working with Cloudera Data Platform (CDP).
• Experience working with Apache Spark, Apache Hive, Apache Kafka, Apache NiFi and other big data technologies.
• Experience with Apache Airflow for job orchestration.
• Experience with HDFS and S3 for data storage and retention.
• Experience with AWS data products including SageMaker, Neptune, Glue, EC2, EMR, and Lambda.
• Experience with containerized applications and application deployment, including docker and OpenShift.
• Application development experience in Python, Java and Linux shell scripting.
• Application development experience with CI/CD, version control, code reviews and other best practices in daily work.
• Application development experience using GitHub and features such as Actions and safe-settings.
• Experience with relational databases, NoSQL data stores and graph databases like Neo4j.
• LLM assisted development using structured markdown, skills, agents and MCP servers.

Nice-to-have

• Experience with Snowflake
• Knowledge of cloud architecture

What’s in it for you?

• 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
• Flexible work/life balance options
• Opportunities to do challenging work
• Opportunities to take on progressively greater accountabilities
• Access to a variety of job opportunities across business

Job Skills

Amazon SageMaker, Amazon Web Services (AWS), Apache Airflow, Apache NiFi, Apache Spark, AWS Glue, Big Data, Big Data Management, Big Data Technologies, CI/CD, Cloud Computing, Cloudera Data Platform, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, GitHub, Group Problem Solving, Linux, Neo4j Graph Database, Python (Programming Language), Quality Management, Requirements Analysis, Snowflake Data Warehouse

Additional Job Details

• Address: 16 YORK ST: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: 2026-09-02
• Application Deadline: 2026-10-02
• Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

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