IT & data jobs in Canada

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

Counted Sep 28, 2026

Hiring at a glance

View jobs

Open jobs: 2,669
Employers: 1,320

Advertised starting pay

Average starting payCAD / year: $98,399Across 256 listings
Average starting payCAD / hour: $50.24Across 83 listings
Average starting payUSD / year: $117,285Across 53 listings

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

Where work happens

Remote: 5%130 listings
Hybrid: 39%1,038 listings
On-site: 56%1,486 listings

Not specified: 1% (15 listings)

Employers hiring include RBC (48), TD (45), Royal Bank of Canada (43).

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 mins ago
Technical Business Analyst – Syndigo PIM MDM (35930)
Myticas Consulting
Canada
Contract
Added 3 mins ago
GIS Data Analyst
Pomerleau
Quebec, QC
Full-time
We are seeking a GIS Data Analyst who is passionate about geospatial technologies and transforming data into actionable insights that support construction projects and business operations.…
Added 33 mins ago
Sr. Business System Analyst (AML & Payments)
CGI
Toronto, ON
Full-time
…background within the banking or financial services domain, strong data analytical skills, and experience supporting regulatory…
Added 1 hour ago
IT - Application Support Analyst - Senior
Raise
Toronto, ON
Full-time
Added 1 hour ago
GIS Data Analyst
Pomerleau
Montreal, QC
Full-time
We are seeking a GIS Data Analyst who is passionate about geospatial technologies and transforming data into actionable insights that support construction projects and business operations.…
Added 1 hour ago
Junior NLP Data Scientist
The University of British Columbia
Vancouver, BC
$5,692.25 to $8,179.5 CAD / month
Full-time
Added 2 hours ago
Database Administrator
Summerhill Market
Toronto, ON
Full-time
Summerhill Market is looking for a detail-oriented, tech-savvy, and curious Data Coordinator to join our IT & Data team. This is an entry-level opportunity for someone interested in…
Added 2 hours ago
Senior Business Systems Analyst - Guidewire (Policy Center)
CAA Club Group
Thornhill, ON
Added 2 hours ago
Senior Data Scientist, Fraud Applied AI and Innovation
RBC
Toronto, ON
Full-time
Added 3 hours ago
cybersecurity consultant
OIC Foods Inc.
Mississauga, ON
Full-time
Added 3 hours ago
Analyste de données / Data Analyst
Data Sciences
Montreal, QC
Full-time
Fondée en 2015, Data Sciences (DS) n'est pas une agence comme les autres. Nous sommes un groupe d’experts de pointe en analyse de données, en recherche, en marketing numérique et en…
Added 3 hours ago
Sr. Business Systems Analyst, TD Securities
TD
Toronto, ON
Full-time
Added 3 hours ago
Senior Data Scientist - GenAI
Manulife
Toronto, ON
Full-time
We are seeking a highly skilled and motivated Senior Data Scientist to join our Group Functions Advanced Analytics team. As a Senior Data Scientist - GenAI, you will develop and implement…
Added 4 hours ago
IT - Support Analyst 1, Revelstoke
Sandman Hotel Group
Revelstoke, BC
Full-time
Added 4 hours ago
Mainframe Network Administrator
J&M Group
Canada
Full-time
Added 4 hours ago
Software Tester
VySystems
Canada
Full-time
We are seeking a Senior Data Engineer with strong Quality Engineering (SDET) experience. The role is primarily focused on building and validating data solutions using Databricks, Python,…
Added 4 hours ago
IT Support Specialist
Epsilon Solutions Ltd.
Mirabel, QC
Full-time
Added 4 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
Added 4 hours ago
Business Data Analyst
Aptino, Inc.
Toronto, ON
$40 to $45 CAD / hour
Contract
We are looking for a Business Analyst / Data Analyst with strong experience in Power BI, SQL, Excel, dashboard development, and regulatory/compliance reporting.
Added 4 hours ago
Senior Data Engineer, Analytics
nesto
Vancouver, BC
Full-time
Added 4 hours ago
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
Full-time
Added 4 hours ago
network system administrator
ICON Creative Studio
Vancouver, BC
Full-time
Added 4 hours ago
Full-time Senior Data and Analytics Systems Analyst
Algonquin College of Applied Arts and Technology
Ottawa, ON
Full-time
Added 4 hours ago
Data Scientist, Biosignal Deep Learning
Naqi Logix Inc.
North Vancouver, BC
Full-time
Added 4 hours ago
Junior NLP Data Scientist
University of British Columbia
Vancouver, BC · UBCV | UBC Hospital - Detwiller Pavilion (DPAV)
$5,692.25 to $8,179.5 CAD / month
Full-time

Cognizant

Python-Data Engineer

Toronto, ON, Canada

Pay: Compensation: We are offering between $75,000 – $90,000.
Job type: Full-time
Apply by: Oct 28, 2026
Posting language: English
Posted: Sep 28, 2026

Apply About employer

Applications open in a new tab.

Original job description

About The Group:

Cognizant’s Cloud, Infrastructure, and Security Services Practice (CIS), is all about accepting digital transformation by driving core modernization holistically across layers. We help customers transform infrastructure and workplace to meet the constantly evolving needs of the digital era. Our broad approach delivers key results for our customers by achieving cloud driven modernization and workplace and operational transformation to own the business in a secure environment.

Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Role: Python-Data Engineer

Location: Toronto , ON

Mandatory skills: Python (Expert), Docker & Kubernetes (Medium), CI/CD pipeline (Medium), Pandas & Polars (Expert)

Job Description

We are seeking a skilled Python Developer to join our data engineering team. You will design, develop, and maintain high-performance data processing pipelines using modern Python frameworks and tools. In this role, you'll work with large-scale datasets, containerized systems, and distributed computing platforms to deliver robust data solutions.

Key Responsibilities

Develop and optimize data manipulation workflows using pandas and polars to handle large datasets efficiently. Design and implement containerized applications using Docker and Kubernetes to ensure scalable, reliable deployments. Build and maintain data pipelines integrating with ClickHouse columnar databases for analytical workloads. Develop event-driven architectures using NATS messaging systems for asynchronous data processing. Write comprehensive unit tests using pytest to ensure code quality and reliability. Implement distributed computing solutions with Dask for processing data beyond single-machine memory constraints. Manage version control using Git and collaborate on code repositories following best practices.

Required Skills And Experience

Python & Data Processing: Advanced proficiency in pandas and polars for data manipulation, transformation, and analysis. Experience optimizing code performance for large datasets.
Containerization & Orchestration: Hands-on experience with Docker for building container images and composing multi-container applications. Knowledge of Kubernetes for container orchestration and deployment management.
Data Infrastructure: Working knowledge of ClickHouse or similar columnar databases for OLAP workloads and analytical queries.
Messaging & Streaming: Familiarity with NATS.io for building message-driven systems and asynchronous workflows.
Testing & Quality Assurance: Proficiency with pytest for writing unit tests, integration tests, and maintaining code coverage standards.
Distributed Computing: Experience with Dask for parallel processing and handling out-of-core computations.
Version Control: Strong command of Git workflows, branching strategies, and collaborative development practices.

Preferred Qualifications

Experience with additional Python libraries for data science and machine learning. Familiarity with CI/CD pipelines and DevOps practices. Background in financial services or capital markets data systems.

Key Responsibilities

Develop and optimize data manipulation workflows using pandas and polars to handle large datasets efficiently. Design and implement containerized applications using Docker and Kubernetes to ensure scalable, reliable deployments. Build and maintain data pipelines integrating with ClickHouse columnar databases for analytical workloads. Develop event-driven architectures using NATS messaging systems for asynchronous data processing. Write comprehensive unit tests using pytest to ensure code quality and reliability. Implement distributed computing solutions with Dask for processing data beyond single-machine memory constraints. Manage version control using Git and collaborate on code repositories following best practices.

Compensation: We are offering between $75,000 – $90,000. Applications will be accepted until Oct 9, 2026.Cognizant will only consider applicants for this position who are legally authorized to work in Canada without requiring employer sponsorship, now or at any time in the future.

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*

Apply About employer

More about this job

Responsibilities

Develop and optimize high-performance data processing workflows and pipelines using Python, pandas, and polars, integrating with ClickHouse and NATS. Build containerized and distributed data solutions with Docker, Kubernetes, and Dask, while testing with pytest and collaborating through Git.

Requirements

Requires advanced Python, pandas, and polars skills, along with experience handling large datasets and optimizing performance. Candidates should have working knowledge of Docker, Kubernetes, ClickHouse or similar columnar databases, NATS, pytest, Dask, and Git; CI/CD familiarity and financial services experience are preferred.

Skills

Python
Pandas
Polars
Docker
Kubernetes
CI/CD
ClickHouse
NATS
Pytest
Dask
Git
Data Pipelines
Distributed Computing
Data Processing
Containerization

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Docker
Kubernetes
CI/CD
ClickHouse
NATS
Pytest
Dask
Git
Data Engineering
Data Pipelines
Data Processing
Large-Scale Datasets
Distributed Computing
Out-of-Core Computation
Containerization
Container Orchestration
Event-Driven Architecture
Asynchronous Processing
Columnar Databases
OLAP
Unit Testing
Integration Testing
Code Coverage
Version Control
DevOps
Financial Services
Capital Markets

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