Full-time jobs in Canada

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

191,315 listings · 19,946 employers Counted Oct 7, 2026. How we count

About these jobs

Employers hiring include Walmart Canada (4,983 listings), Starbucks Coffee Company (1,889 listings), Loblaw Companies Limited (1,520 listings).

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

21,146 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	81,940.00	12,251
CAD / hour	24.00	6,206
USD / year	96,620.00	1,071
USD / hour	20.00	420
CAD / month	5,377.61	235
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 8 hours ago
P
Gérant de département PC Express – non syndiqué temps plein jour
Provigo
Gatineau, QC
- Full-time
Added 8 hours ago
C
Field Services Engineer
Cognizant
Vancouver, BC
- Full-time
Added 8 hours ago
HT
Représentant commercial externe
Hecny Transportation Canada
Blainville, QC
- Full-time
Added 8 hours ago
BD
Licensed Dental Assistant
BC Dental Jobs
Surrey, BC
- Full-time
Added 8 hours ago
PC
Area Manager - M&M Food Market
Parkland Corporation
Calgary, AB
- Full-time
Added 8 hours ago
RS
Warehouse Flex Driver
Ryder System, Inc.
Calgary, AB
- Full-time
Added 8 hours ago
MG
Truck & Transport Mechanic
Municipal Group of Companies
Lower Sackville, NS
- Full-time
Added 8 hours ago
LC
Senior Analyst, Lease Administration
Loblaw Companies Limited
Brampton, ON
- Full-time
Added 8 hours ago
S
Archivist and Outreach Coordinator
SaskCulture
Regina Beach, SK
- Full-time
Added 8 hours ago
JE
Welder - Mississauga (2026-9609)
Johnston Equipment
Mississauga, ON
- Full-time
Added 8 hours ago
BK
Customer Service Representative, Scheduler(H1B)
Boston Korea
Canada
- Full-time
Added 8 hours ago
UB
Mechanical Regional Sales Manager
Universal Building Materials Merchants CO LTD.
Brampton, ON · Regional Municipality of Peel, ON
- Full-time
Added 8 hours ago
LP
Thai massage therapist
Lethbridge Polytechnic
Lethbridge, AB
- Full-time
Added 8 hours ago
S
Manufacturing Operations Clerk
STERIS
Quebec, QC
- Full-time
Added 8 hours ago
GM
Indigenous Museum Attendant
Galt Museum & Archives / Akaisamitohkanao'pa
Lethbridge, AB
- Full-time
Added 8 hours ago
8C
commercial and retail sign installer supervisor
8D Customs Ltd.
Langley (District), BC · Langley, BC
- Full-time
Added 8 hours ago
LC
Pharmacy Assistant, Hourly Full Time Flexible Shifts
Loblaw Companies Limited
Lethbridge, AB
- Full-time
Added 8 hours ago
AR
Physiotherapy Assistant
Arvan Rehab Group Inc.
Shelburne, ON
- Full-time
Added 8 hours ago
MM
pastry chef
Mirch Masala Indian Cuisine
Delta, BC
- Full-time
Added 8 hours ago
SI
Experienced Family Law Lawyer
Synectics Inc.
St. Catharines, ON
- $150,000 to $180,000 CAD / year
- Full-time
Added 8 hours ago
W/
Sales Associate
WIRELESSWAVE / WAVE SANS FIL
Vancouver, BC
- Full-time
Added 8 hours ago
S
Manufacturing Operations Clerk
STERIS
Quebec, QC
- Full-time
Added 8 hours ago
GE
12 Month Contract E-Commerce Digital Coordinator
Gerrie Electric Wholesale Ltd.
Burlington, ON
- Full-time
Added 8 hours ago
CB
Sales Associate - CosmoProf Store # 07369
CosmoProf Beauty
Brandon, MB
- Full-time
Added 8 hours ago
BB
Seal Coating and Crack Sealing Technician
Burnaby Blacktop Ltd.
Burnaby, BC
- 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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