IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 6, 2026

Hiring at a glance

View jobs

Open jobs: 2,520
Employers: 1,311

Advertised starting pay

Average starting payCAD / year: $98,196Across 247 listings
Average starting payCAD / hour: $50.93Across 78 listings
Average starting payUSD / year: $118,719Across 50 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%129 listings
Hybrid: 40%1,000 listings
On-site: 55%1,383 listings

Not specified: <1% (8 listings)

Employers hiring include TD (40), J&M Group (39), Amazon (35).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 3 days ago
V
Senior Software Development Manager, Verily Intelligence
Verily
Waterloo, ON
- Full-time
Verily Health is a data platform and technology company purpose-built to power AI-enabled precision health solutions that accelerate research and improve care for individuals and…
Added 3 days ago
Data Analyst, Teaching & Learning
University of Toronto
Toronto, ON
Added 3 days ago
T
Senior Data Engineer
TriMech
Oakville, ON
- Full-time
TriMech is investing in a modern enterprise data platform - built on Microsoft Fabric - to create a trusted, scalable foundation for reporting, analytics, AI, and data-driven…
Added 3 days ago
PS
Computer Technician (1.0 FTE)
Parkland School Division
Stony Plain, AB
- Full-time
Added 3 days ago
JI
Data Scientist Student – Winter 2027
J.D. Irving, Limited
Saint John, NB
- Full-time
Love AI and data? Join our Analytics team and work on projects that bring machine learning, generative AI, and predictive modeling to life! This is your chance to apply classroom knowledge…
Added 3 days ago
CL
IT - Business Systems Analyst
Cosmetica Laboratories Inc
Toronto, ON · Scarborough, ON
- $80,000 to $120,000 CAD / year
- Full-time
Added 3 days ago
RC
Senior Network Security Engineer (CCNP Security Needed)
RSM Canada
Toronto, ON
- Full-time
Added 3 days ago
C
Data Engineer
Citylitics
Remote, Canada
- Full-time
- Remote
Added 3 days ago
NH
Systems Administrator
Niagara Health
Welland, ON
- Temporary
Added 3 days ago
CN
Project Controls & Data Analyst
Conexus Nuclear Inc. (Conexus)
Toronto, ON
- $75,000 to $90,000 CAD / year
- Full-time
The Project Controls & Data Analyst is responsible for providing integrated R&D project control, database management, reporting and analytical support to ensure projects are effectively…
Added 3 days ago
CI
Data Engineer
Citylitics Inc.
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
Added 3 days ago
MH
System Administrator (ECSA)
Mackenzie Health
Vaughan, ON
- $51.04 to $60.61 CAD / hour
- Full-time
Added 3 days ago
W
IT - Business Systems Analyst
Westerkirk
Toronto, ON
- $80,000 to $120,000 CAD / year
Added 3 days ago
SS
Service Desk Analyst
S.I. Systems ULC
Ottawa, ON
- $50,000 to $60,000 CAD / year
- Full-time
Added 3 days ago
RE
Network Administrator
Recurrent Energy
Kitchener, ON · CA Kitchener
- Full-time
Added 3 days ago
O
Microsoft 365 & Cloud Systems Analyst
Ombudsman
Toronto, ON
- $100,031 to $125,038 CAD / year
- Temporary
Added 3 days ago
Sr. Business Systems Analyst
Tokio Marine Canada Ltd
Toronto, ON
Added 3 days ago
ED
Sr Data Analyst (12 months) - 030 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Contract
- Remote
Data Analyst 18: Salaries typically range from $94,664 to $128,743 annually, based on q
Added 3 days ago
ED
Sr Data Analyst (12 months) - 030 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Contract
- Remote
Data Analyst 18: Salaries typically range from $94,664 to $128,743 annually, based on q
Added 3 days ago
ED
Sr Data Analyst (12 months) - 030 EN
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Contract
- Remote
Data Analyst 18: Salaries typically range from $94,664 to $128,743 annually, based on q
Added 3 days ago
Senior Systems Analyst - Renal Program
Nova Scotia Health and IWK Health
Halifax, NS
…Reporting, and plays a key role in transforming healthcare data into actionable information that supports patient care,…
Added 3 days ago
V
Senior Data Scientist
Visa
Toronto, ON
- Full-time
Added 3 days ago
ED
Sr Data Analyst (12 months) - 030 EN
Export Development Canada | Exportation et développement Canada
Toronto, ON
- $96,557 to $128,743 CAD / year
- Contract
Data Analyst 18: Salaries typically range from $94,664 to $128,743 annually, based on q
Added 3 days ago
ED
Sr Data Analyst (12 months) - 030 EN
Export Development Canada | Exportation et développement Canada
Montreal, QC
- $96,557 to $128,743 CAD / year
- Contract
Data Analyst 18: Salaries typically range from $94,664 to $128,743 annually, based on q
Added 3 days ago
E
Database Administrator
Experis
Toronto, ON · Scarborough, ON
- $95,000 to $108,000 CAD / year
- Full-time
Our client is seeking a Cloud Database Administrator to join a high-performing Data Platform Services team responsible for enterprise database modernization and cloud transformation…

RBC

Staff Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 6, 2026
Experience: 5+ years of professional experience in data engineering or related roles
Posting language: English
Posted: Oct 1, 2026

Original job description

Job Description

What is the opportunity?

RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI and analytics capabilities, and developing cutting-edge AI/ML solutions - from traditional machine learning to Generative AI - to support our Global Executive Leadership as well as our Digital and Global Investment teams.

What will you do?

Architect, establish, maintain, and evolve the data foundation and analytical environments that support BI/analytics workloads and downstream AI/ML consumers with high performance and reliability

Design, build, and maintain scalable, production-grade data pipelines that ingest, transform, and serve both structured and unstructured data across WM LoBs
Design data models and schemas that serve multiple consumer types - BI dashboards, reporting, and downstream ML pipelines - balancing performance, flexibility, and reusability
Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows
Define clean data contracts and interfaces with downstream AI/ML and BI teams - schemas, SLAs, and freshness guarantees - to ensure reliable handoffs
Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance
Optimize pipeline and storage performance and cost (e.g., query tuning, partitioning, compute/storage cost management) across Dev, UAT, and Production environments
Create, maintain, and develop data assets across Dev, UAT, and Production environments, ensuring consistency
Identify, source, stage, and model improvements to partially/completely automate the most common, repeatable and tedious manual data preparation and integration tasks, and optimize data delivery for greater scalability, as part of the end-to-end data lifecycle
Implement data quality frameworks, automated testing, and monitoring to ensure data integrity and trust across all downstream consumers
Support data cataloging and metadata management practices to ensure data assets are discoverable, well-documented, and governed
Support DevOps and DataOps best practices, including CI/CD, infrastructure-as-code, and automated testing across data pipelines
Use version control systems (e.g., GitHub) and data/schema comparison tooling to manage code and data changes safely across environments

What do you need to succeed?

Must-have

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
5+ years of professional experience in data engineering or related roles
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Deep experience with modern data platforms and tools such as Databricks, Snowflake, Spark, and cloud-native data services (AWS, Azure, or GCP)
Solid understanding of data warehousing, data lakehouse architectures, and data modelling concepts - and when to apply each
Knowledge of and experience implementing medallion (bronze/silver/gold) architecture patterns for structuring data lakehouse layers
Experience designing data models and pipelines that serve multiple consumer types (e.g., BI/reporting and downstream ML use cases)
Proficiency with DevOps/DataOps practices and CI/CD tooling (e.g., GitHub Actions, Jenkins, Azure DevOps) for data pipelines
Experience with automated unit testing methodologies for data pipelines and transformations
Strong experience with data governance, data quality, and data security best practices
Passion for problem-solving and tackling challenges in real-world contexts, leveraging large-scale datasets and modern data approaches

Nice-to-have

Familiarity with Generative AI workflows, including RAG pipelines, vector databases, and LLM serving infrastructure
Knowledge of streaming data technologies (e.g., Kafka, Kinesis, or Spark Streaming)
Experience with infrastructure-as-code tools such as Terraform or CloudFormation
Knowledge of financial services, wealth management, or investment management domains
Experience building or enabling AI-driven automation such as AI agents, workflow orchestration, or decision engines
Experience with data cataloging/metadata management tools (e.g., Unity Catalog, Collibra)

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
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

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Waterfall Model

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:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-26

Application Deadline:

2026-11-06

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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Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.

Apply About employer

More about this job

Responsibilities

The Staff Data Engineer will architect and maintain scalable data pipelines and analytical environments to support BI, analytics, and AI/ML workloads. They will also implement data quality frameworks, ensure data governance, and optimize pipeline performance across development and production environments.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional experience in data engineering. Proficiency in Python, SQL, and modern cloud-native data platforms like Databricks or Snowflake is required.

Skills

Python
SQL
Data Engineering
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Warehousing
Data Lakehouse
CI/CD
DevOps
Data Governance
Data Quality
API Development

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options
Flexible work-life balance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Lakehouse
Medallion Architecture
CI/CD
DevOps
DataOps
Data Governance
Data Quality
API
Generative AI
RAG
Vector Databases
Kafka
Terraform
Unity Catalog
Collibra
Machine Learning
BI
Analytics
Data Modeling
Infrastructure-as-code
Wealth Management

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