Jobs in Vaughan, ON and nearby

Jobs within 25 km of Vaughan, ON, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

46,149 listings · 6,616 employers Counted Oct 7, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (602 listings), Scotiabank (566 listings), TD (430 listings).

Common roles: Software engineer, Retail sales associate, Project manager.

6,695 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	85,000.00	4,001
CAD / hour	23.43	1,969
USD / year	120,000.00	364
USD / hour	20.00	95
GBP / hour	35.00	14
CAD / month	4,054.00	12
CAD / week	868.50	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: 0% remote, 29% hybrid, 70% 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

Jobs in Vaughan, ON and nearby

Within 25 km

Email me new jobs Save this search

Added 10 hours ago
TT
Frontend UI / Full Stack Developer
Tech Talent International
Toronto, ON
- $66 to $68 CAD / hour
- Contract
Added 10 hours ago
K
Project Assistant / Client Lead
Kinectrics
Toronto, ON
- Full-time
Added 10 hours ago
PC
Risk Modelling Services, Actuarial P&C Director (Bilingual FR/EN)
PwC Canada
Toronto, ON
- Full-time
Added 10 hours ago
B
Building Mechanical Engineer
BPA
Toronto, ON
- Full-time
Added 10 hours ago
TH
construction project coordinator
T. Hamilton & Son Roofing Inc.
Toronto, ON
- Full-time
Added 10 hours ago
T
Senior Information Security Analyst
TD
Toronto, ON
- Full-time
Added 10 hours ago
Postal Clerk
Canada Post - Postes Canada
Toronto, ON
Added 10 hours ago
KT
310S Automotive Service Technician
Kal Tire
Brampton, ON
- Full-time
Added 10 hours ago
B
Accounts Receivable Specialist
Boldr
Toronto, ON
- Full-time
Added 10 hours ago
B
Senior Accounts Receivable Associate
Boldr
Toronto, ON
- Full-time
Added 10 hours ago
B
Credit Analyst
Boldr
Toronto, ON
- Full-time
Added 10 hours ago
SAP SuccessFactors Employee Central Payroll - Senior Consultant/ Manager
EY
Toronto, ON
Added 11 hours ago
Dev. Machine Learning Engineering II
Bell
Toronto, ON
Added 11 hours ago
GI
Heavy Duty Cleaner
GDI Integrated Facility Services
Toronto, ON
- Full-time
Added 11 hours ago
GI
Light Duty Cleaner
GDI Integrated Facility Services
Toronto, ON
- Full-time
Added 11 hours ago
O&
Line Cook - Pizzeria Libretto
Oliver & Bonacini
Toronto, ON
- Full-time
Added 11 hours ago
MG
Principal Engineer / Architect
Matrix Global
Toronto, ON
- Full-time
Added 11 hours ago
MG
Java Engineer
Matrix Global
Toronto, ON
- Full-time
Added 11 hours ago
GG
Property Administrator
Great Gulf
Toronto, ON
- Full-time
Added 11 hours ago
CF
Policy Service Coordinator
CI Financial
Toronto, ON
- Full-time
Added 11 hours ago
A
People Organization Business Partner & Organizational Effectiveness Lead
Aon
Toronto, ON
- Full-time
Added 11 hours ago
HR
Electrical Component Engineering Intern (Fall 2026 or Winter 2027)
Hitachi Rail
Toronto, ON
- $23 to $30 CAD / hour
- Full-time
Added 11 hours ago
B
Dev. Machine Learning Engineering II
Bell
Toronto, ON
- Full-time
Added 11 hours ago
TC
Retail Store Associate Part Time Seasonal HomeSense Colossus Centre
TJX Canada – Winners, Marshalls, HomeSense
Vaughan, ON
- Part-time
Added 11 hours ago
B
Credit Analyst
Boldr
Toronto, ON
- 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

Report this job