IT & data jobs in Canada

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

Counted Oct 9, 2026

Hiring at a glance

View jobs

Open jobs: 2,685
Employers: 1,383

Advertised starting pay

Average starting payCAD / year: $96,825Across 263 listings
Average starting payCAD / hour: $48.38Across 118 listings
Average starting payUSD / year: $118,122Across 47 listings

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

Where work happens

Remote: 5%137 listings
Hybrid: 39%1,047 listings
On-site: 56%1,492 listings

Not specified: <1% (9 listings)

Employers hiring include TD (51), J&M Group (40), 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 10 days ago
R
Senior Data Scientist, Fraud Applied AI and Innovation
RBC
Toronto, ON
- Full-time
Added 10 days ago
OF
cybersecurity consultant
OIC Foods Inc.
Mississauga, ON
- Full-time
Added 10 days ago
DS
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 10 days ago
T
Sr. Business Systems Analyst, TD Securities
TD
Toronto, ON
- Full-time
Added 10 days ago
M
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 10 days ago
SH
IT - Support Analyst 1, Revelstoke
Sandman Hotel Group
Revelstoke, BC
- Full-time
Added 10 days ago
JG
Mainframe Network Administrator
J&M Group
Canada
- Full-time
Added 10 days ago
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Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Added 10 days ago
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Senior Data Engineer, Analytics
nesto
Vancouver, BC
- Full-time
Added 10 days ago
O
Senior Data Modeler
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Added 10 days ago
T
IT Support Analyst IV, TD Securities
TD
Toronto, ON
- Full-time
Added 10 days ago
LS
Data Analyst
Lansdowne Stadium Limited
Ottawa, ON
- Full-time
Reporting to the Director, Digital Marketing and Business Intelligence, the Data Analyst is responsible for maintaining, optimizing, and improving our ticket sales reporting within the…
Added 10 days ago
A
Salesforce & RevOps Systems Administrator
Amilia
Montreal, QC · Greater Montreal, QC
- Full-time
Added 10 days ago
Senior Data Engineer
Tubi - Canada
Toronto, ON
As a Senior Data Engineer at Tubi, you'll be instrumental in developing and maintaining robust data processing pipelines that underpin our reporting, analytics, and performance insights.…
Added 10 days ago
SC
IT Support Specialist
Safety Codes Council
Edmonton, AB
- Full-time
Added 10 days ago
SL
Senior Data Scientist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto One York
- Full-time
Added 10 days ago
C
IT Support Specialist Level 1
Confidential
Longueuil, QC
- Contract
Added 10 days ago
H
Data Architect
Hays
Toronto, ON
- Contract
Added 10 days ago
T
IT Support Analyst IV, TD Securities
TD
Toronto, ON
- Full-time
Added 10 days ago
AI
Windows & VMware System Administrator
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
- Full-time
Added 10 days ago
AI
Data Analyst - SQL, Data Modeling
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Business Data Analyst – NoSQL | Microsoft SQL Server | Data Analysis
Added 10 days ago
IT Support Specialist (St Thomas Office)
Buckland
St. Thomas, ON · London, ON
Added 10 days ago
IT - Support Analyst 1, Revelstoke
Northland Properties
Revelstoke, BC
Added 10 days ago
IT - Support Analyst 1, Revelstoke
Northland Properties
Revelstoke, BC
Added 10 days ago
PG
Data Engineer
Pacer Group
Toronto, ON
- $120,000 to $125,000 CAD / year
- Full-time
Should have strong experience in Data Engineering along with Azure Cloud and Azure Databricks

Cognizant

Python-Data Engineer

Toronto, ON, Canada

Compensation: We are offering between $75,000 – $90,000. · Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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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