Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added just now
Platform Engineer
Hays
Toronto, ON
Contract
We are seeking a highly skilled Senior/Lead Platform Engineer with strong expertise in Azure, Databricks, Python, PySpark, and Spark SQL to design, develop, and support scalable cloud-based…
Added just now
Microsoft / Terraform Cloud Platform Engineer
TECONICA SOFTWARES
Toronto, ON
Contract
We are seeking a highly hands-on Azure Platform Engineer with strong experience designing, implementing, and supporting enterprise-scale Microsoft Azure cloud platforms.
Added just now
Data Pipeline QA
Insight Global
Toronto, ON
$50 to $65 CAD / hour
Contract
Insight Global is looking for a Senior QA Automation Engineer to join a high-performing team focused on data pipeline validation and reporting quality. This individual will be responsible…
Added just now
Senior Java Software Engineer (Backend / Systems-Focused)
Collabera
Toronto, ON
$90 to $95 CAD / hour
Contract
Title: Senior Java Software Engineer (Backend / Systems-Focused)
Added just now
Sr. Software Engineer (Salesforce), Specialty Health Technology
Loblaw Companies Limited
Brampton, ON
Full-time
Join Loblaw Technology and Analytics and be part of the Specialty Health Technology team, supporting the SHN (Specialty Health Network) business, a division of Shoppers Drug Mart and part…
Added just now
Data Engineer (Early Career) (Canada)
Jobright.ai
Canada
Full-time
…the job search process. They are seeking an early-career Data Engineer to design and build data pipelines, ensuring data quality and collaborating with analytics and product…
Added just now
Senior Machine Learning Engineer // Toronto, ON // Hybrid : FTE
AceStack
Toronto, ON
Full-time
We are seeking an experienced Senior Machine Learning Engineer to support the AI CoE’s Machine Learning and Data Science initiatives. The ideal candidate will have strong hands-on expertise…
Added just now
Python & Java AI Developer
Zodiac Solutions, Inc
Toronto, ON
Full-time
We are seeking an experienced Senior AI Software Engineer to support an enterprise AI initiative from use-case discovery through production implementation. The role combines strong Python…
Added 1 min ago
Cloud Network Engineer
FNZ Group
Toronto, ON · CA Toronto Yonge St
$120,000 to $150,000 CAD / year
Full-time
We are looking for an experienced Cloud Network Engineer, to have have an excellent command of network design principles and a demonstrated ability to architect scalable, secure, and…
Added 1 min ago
Software Development Engineer, Scaling Planner, CloudTune
Amazon
Toronto, ON
Amazon's CloudTune organization is seeking a Software Development Engineer to join the Scaling Planner team and contribute to our suite of products across Reactive and Proactive Scaling.…
Added 1 min ago
Principal Software Engineer, Full-Stack Development
Zynga
Toronto, ON
$118,300 to $168,300 CAD / year
…company's games - Central Technology! As a Principal Software Engineer, you will be responsible for the technical vision, design and implementation of AI-powered tools and systems that…
Added 15 mins ago
Python Developer
Tekshapers
Toronto, ON
Full-time
We are seeking an experienced Senior AI Software Engineer to support an enterprise AI initiative from use-case discovery through production implementation. The role combines strong Python…
Added 15 mins ago
Computer Modeling & Simulation Staff Specialist/Engineer
General Dynamics Land Systems–Canada
London, ON
Full-time
Computer Modeling & Simulation Staff Specialist/Engineer P55
Added 15 mins ago
Test Lead/ Sr. SDET
Galactic Minds INC
Vancouver, BC
Full-time
Added 15 mins ago
ML Runtime and Kernel Engineer - Core ML
Cerebras
Toronto, ON
Full-time
We are looking for an engineer to bridge the gap between promising research ideas and efficient execution on Cerebras systems. You will work across ML frameworks, compilers, runtimes, and…
Added 16 mins ago
Bilingual Sales Intern - Montreal, QC
Victaulic
Montreal, QC · Greater Montreal Metropolitan Area
Full-time
Added 16 mins ago
Lead AI engineer
Hays
Halifax, NS
$150,000 to $175,000 CAD / year
Full-time
Added 32 mins ago
Quantitative Software Engineer
RPIA
Toronto, ON
Full-time
We are seeking a full-time permanent Quantitative Software Engineer, Data Engineering to join our team.
Added 45 mins ago
Data Engineer
Pacer Group
Toronto, ON
$120,000 to $125,000 CAD / year
Full-time
Added 45 mins ago
SQL Database Engineer
Cognizant
Toronto, ON
Full-time
Added 45 mins ago
AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)
Cognizant
Toronto, ON
Full-time
As an AI-Aware Data Engineer, you will make an impact by designing, developing, and optimizing enterprise data solutions that support analytics, reporting, and AI-ready data initiatives.…
Added 45 mins ago
Python-Data Engineer
Cognizant
Toronto, ON
Full-time
Added 45 mins ago
Big Data Engineer
Pacer Group
Mississauga, ON
$120,000 to $130,000 CAD / year
Full-time
Added 46 mins ago
Senior Manager, Data Services & Platforms
Purolator
ON · Mississauga, ON
The Senior Manager, Data Services & Platform is a newly established leadership role within the Data, Governance & Analytics (DG&A) Hub at Purolator. This role owns two connected…
Added 1 hour ago
Forward Deployed Strategist
Lazer
Remote, Canada
Full-time · Remote
…can explain AI to an executive, a skeptical end user, and an engineer in the same afternoon. You know rolling out a tool is the easy part, and getting people to change how they work is the…

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

Report this job