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Mid-level DevOps Data Engineer in Toronto – design and deploy data pipelines, cloud solutions, APIs, and analytics portals.
Lead data engineering projects, collaborate with data scientists, and help build scalable, secure data services on AWS and Kubernetes.
What is the opportunity?
Designs, develops, and optimizes data solutions, ensuring the delivery of high quality data assets, reporting, and business intelligence to support organizational objectives. Manages data engineering projects or assignments of increasing complexity, scope and impact, applying professional judgment and expertise.
What will you do?
As part of the Data Engineering team, you will encompass an end to end view from data sourcing, lineage, quality, transformation and storage.
Execute Development and Integration activities (planning, execution, testing, deployment and post implementation support) of existing and new data and visualization Technologies (e.g. streamlit).
Prepare data to be used for diagnostic/descriptive reporting and data science work.
Build container based solutions, pipelines, APIs/Microservices and analytics portal for heterogeneous data sources on internal data lakes or cloud platforms
Collaborate with Data scientists, Process Engineers and Business Stakeholders to develop data pipelines, and assist with prescriptive and predictive analytics through consolidated data
Identify and resolve data movement/transformation/processing bottlenecks
Research emerging Data and Visualization technologies trends/best practices and propose solutions for Technology and Business partners.
What do you need to succeed?
Must Have:
Bachelor’s degree in Computer Science, Engineering or equivalent
Experienced in building end to end data pipelines
Demonstrated leadership skills; ability to identify / foresee issues and to proactively recommend and build resilient solutions
Advanced SQL knowledge and experience working with relational databases
Experience in developing scalable, configurable applications using Python and application frameworks
Knowledge of relevant security considerations for applications on cloud
Knowledge of VMs and various MLOps platforms such as WandB, AWS SageMaker
Knowledge of AWS
5+ years of hands‑on experience in following key areas:
Data engineering solutions: Logstash, Python, SQL Server, Kafka, Hadoop, Spark, Trino
API: Streamlit, Flask, Node.JS, Django, and Microservices technologies
Automation/DevOps: Github Actions, Airflow, UCD, Selenium and similar technologies
Cloud technologies: Openshift, Docker, Kubernetes
Git & code version management
Nice to Have
Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
Visualization tools: Dash, Plotly, Tableau
Experience working in agile environment
Master’s degree in Computer Science, Engineering, or equivalent
Supervised and Unsupervised Machine learning, Natural Language Processing
What’s In 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
Opportunities to take on progressively greater accountabilities.
Access to a variety of job opportunities across business and geographies.
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Job Skills
Almacenamiento de datos (DW), Análisis de requisitos, Computación de la nube, Desarrollo de API, Desarrollo de bases de datos, Desarrollo de la nube, DevOps, Docker (Software), Gestión de Big Data, Gestión de calidad, Lenguaje de consulta estructurado (SQL), Minería de datos, Procesamiento ETL, Python (lenguaje de programación), Resolución de problemas en grupo
Additional Job Details
Address: 20 KING ST W:TORONTO City: Toronto Country: Canadá Work hours/week: 37.5 Employment Type: Full time Platform: INTERNAL AUDIT Job Type: Regular Pay Type: Salaried Posted Date: 2026-04-15 Application Deadline: 2026-07-31 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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