Full-time jobs in Canada

Explore full-time jobs across Canada. Choose a location and read the full job details.

192,749 listings · 19,928 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (5,105 listings), Starbucks Coffee Company (1,898 listings), WSP in Canada (1,542 listings).

Common roles: Project manager, Sales representative, Store manager.

21,518 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	81,702.24	12,454
CAD / hour	24.00	6,345
USD / year	95,500.00	1,068
USD / hour	20.00	424
CAD / month	5,519.00	238
CAD / week	1,400.00	32
GBP / hour	35.00	15
USD / month	5,000.00	15
CAD / day	380.00	14
GBP / year	40,000.00	12

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.

Workplace classifications: 2% remote, 18% hybrid, 80% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Full-time jobs in Canada

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Added 3 hours ago
T
Institutional Equity Salestrader
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Relationship Manager III, Business Banking
TD
Toronto, ON · Mississauga, ON
- Full-time
Added 3 hours ago
T
Compliance Business Oversight Analyst II (5535)
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Early Talent Recruiter
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Applied Machine Learning Scientist II
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Relationship Manager
TD
Vaughan, ON · Concord, ON
- Full-time
Added 3 hours ago
T
Manager, Engineering – Easy Apply & Digital Onboarding Platform
TD
Toronto, ON
- Full-time
Added 3 hours ago
LH
Restaurant & Bar Manager FT- Chelsea - Toronto
Langham Hospitality Group
Canada
- Full-time
Added 3 hours ago
MS
Product Marketing Manager
Motorola Solutions
Vancouver, BC · BC
- Full-time
Added 3 hours ago
Sales and Service Rep, Lead
Grainger Businesses
Fort McMurray, AB
Added 3 hours ago
IV
Millwright - Evenings
IVC Vita Health
Winnipeg, MB
- Full-time
Added 3 hours ago
TC
Recreation Aide PFT
The Corporation of UCLG
Athens, ON
- Full-time
Added 3 hours ago
SL
Director, Domain Enterprise Architect, RPA and Intelligent Automation
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Toronto One York
- Full-time
Added 3 hours ago
SL
Director, Digital Servicing
Sun Life
Toronto, ON · Waterloo, ON · Montreal, QC · Sun Life Waterloo King
- Full-time
Added 3 hours ago
MU
Research Ethics Administrator
McGill University
Montreal, QC
- Full-time
Added 3 hours ago
M
Digital Reporting Lead
McKesson
Mississauga, ON
- Full-time
Added 3 hours ago
M
Sr. Associate Project Manager
McKesson
Mississauga, ON
- Full-time
Added 3 hours ago
M
Pharmacy Contracts & Member Onboarding Specialist (12 month contract)
McKesson
Mississauga, ON
- Full-time
Added 3 hours ago
MU
Web Application Specialist
McGill University
Canada
- Full-time
Added 3 hours ago
MC
Packaging Structural Designer
Menasha Corporation
Brampton, ON · MPC Brampton Omnihub Plant
- Full-time
Added 3 hours ago
MU
Associate Director Communications, Resident Admissions and Customer Service
McGill University
Res. Carrefour Sherb
- Full-time
Added 3 hours ago
MU
Program Manager
McGill University
Montreal, QC · Ferrier Building
- Full-time
Added 3 hours ago
AG
VP of Operations
Apex Group Ltd
Winnipeg, MB
- Full-time
Added 3 hours ago
J&
Transcend: Process Manager, Global Trade Services
Johnson & Johnson Innovative Medicine
Toronto, ON
- Full-time
Added 3 hours ago
PC
FP&A Manager
People Corporation
Toronto, ON · ON - PC Sheppard - Toronto
- Full-time

Zodiac Solutions, Inc

Python Developer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 5, 2026
Posting language: English
Posted: Oct 6, 2026

Original job description

Role: Python Developer – Data Engineering

Location: Toronto, ON (4 days hybrid)

Fulltime

Responsibilities:

Develop and optimize data manipulation and transformation workflows using pandas and Polars.
Design, build, and maintain efficient data processing pipelines for large-scale datasets.
Optimize Python code and data workflows for performance, scalability, and memory efficiency.
Develop containerized applications using Docker and deploy scalable services using Kubernetes.
Build and maintain data pipelines integrated with ClickHouse or similar columnar databases for analytical workloads.
Design and implement event-driven architectures using NATS for asynchronous data processing and messaging.
Develop distributed computing solutions using Dask to process datasets that exceed single-machine memory limitations.
Write and maintain comprehensive unit and integration tests using pytest.
Maintain high code quality, test coverage, reliability, and performance standards.
Use Git for version control and follow established branching, code review, and collaboration practices.
Collaborate with data engineers, software developers, DevOps teams, and other stakeholders to deliver reliable data solutions.
Troubleshoot production issues and support the continuous improvement of data engineering processes.

Requirements:

Bachelor’s degree in computer science or Diploma in IT with equivalent experience.

Python and Data Processing

Advanced proficiency in Python.
Strong experience with pandas and Polars for data manipulation, transformation, and analysis.
Experience working with large datasets and optimizing code for performance and memory usage.
Strong understanding of Python development best practices, object-oriented programming, and clean code principles.

Containerization and Orchestration

Hands-on experience building and managing container images using Docker.
Experience creating and maintaining multi-container applications.
Working knowledge of Kubernetes for container orchestration, deployment, scaling, and service management.

Data Infrastructure

Experience with ClickHouse or a similar columnar database.
Understanding of OLAP workloads, analytical queries, data modeling, and query optimization.
Experience designing data pipelines for analytical and reporting use cases.

Messaging and Streaming

Familiarity with NATS.io and message-driven architectures.
Understanding of asynchronous processing, event-driven systems, messaging patterns, and distributed workflows.

Testing and Quality Assurance

Proficiency with pytest.
Experience writing unit tests, integration tests, and regression tests.
Understanding of test coverage, mocking, test automation, and quality assurance practices.

Distributed Computing

Experience with Dask for parallel processing and out-of-core computation.
Understanding of distributed data processing and techniques for handling datasets that exceed available system memory.

Version Control

Strong command of Git, including branching strategies, pull requests, code reviews, merging, and conflict resolution.
Experience collaborating through shared code repositories and following software development best practices.

Apply About employer

More about this job

Responsibilities

Develop and optimize Python-based data transformation workflows and scalable pipelines for large datasets, including distributed processing and analytical workloads. Build and deploy containerized services, implement event-driven messaging, maintain automated tests and code quality, and collaborate with engineering and DevOps teams to support reliable production data solutions.

Requirements

Requires advanced Python proficiency and strong experience with pandas and Polars, large-scale data processing, performance optimization, and clean coding practices. Candidates should also have hands-on experience with Docker, Kubernetes, columnar databases, NATS, Dask, pytest, and Git, along with a bachelor’s degree in computer science or an IT diploma with equivalent experience.

Skills

Python
Pandas
Polars
Data Engineering
Data Pipelines
Docker
Kubernetes
ClickHouse
NATS
Dask
Pytest
Git
Distributed Computing
Performance Optimization
Data Modeling
Event-Driven Architecture

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Data Engineering
Data Processing
Data Pipelines
Large-Scale Datasets
Performance Optimization
Memory Efficiency
Docker
Containerization
Kubernetes
ClickHouse
Columnar Databases
OLAP
Data Modeling
Query Optimization
NATS
Event-Driven Architecture
Asynchronous Processing
Dask
Distributed Computing
Out-of-Core Computation
Pytest
Unit Testing
Integration Testing
Regression Testing
Git
Code Reviews
Object-Oriented Programming

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