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.

46,026 listings · 6,588 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (603 listings), Scotiabank (572 listings), TD (411 listings).

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

6,779 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	4,067
CAD / hour	23.78	1,983
USD / year	120,000.00	360
USD / hour	20.00	100
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

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Added 7 hours ago
MC
Business Development Associate
MRL Consulting Group | Global Niche Technology Recruitment
Toronto, ON
- Full-time
Added 7 hours ago
N
Director, Engineering
NielsenIQ
Toronto, ON
- $150,000 to $176,000 CAD / year
- Full-time
Added 7 hours ago
OO
engineering scientist
OZ Optics Ltd.
Richmond Hill, ON
- Full-time
Added 7 hours ago
TH
Academic Fellow - Division of Rheumatology
The Hospital for Sick Children
Toronto, ON
- Full-time
Added 7 hours ago
VC
Chief Surveyor H/F
VINCI Construction Grands Projets Hellas S.A.
Toronto, ON
- $130,000 to $155,000 CAD / year
- Full-time
Added 7 hours ago
DP
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Derrad Property Maintenance inc.
Vaughan, ON
- Full-time
Added 7 hours ago
TU
Graduate Management Trainee - Scarborough
targetjobs UK
Toronto, ON
- Full-time
Added 7 hours ago
KC
Senior Embedded Software Designer
Kepler Communications Inc.
Toronto, ON
- Full-time
Added 7 hours ago
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Toronto, ON
- Full-time
Added 7 hours ago
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- Full-time
Added 7 hours ago
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Toronto, ON
- Full-time
Added 7 hours ago
C
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Toronto, ON
- $60,000 to $90,000 CAD / year
- Full-time
Added 7 hours ago
E
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Toronto, ON
- Full-time
Added 7 hours ago
Senior Compliance Officer
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Toronto, ON
Added 8 hours ago
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Toronto, ON
- Full-time
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Epsilon Solutions Ltd.

Python Developer – Data Engineering

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Senior Python Developer – Data Engineering

Work site: Toronto Hybrid

Contract

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.

Apply About employer

More about this job

Responsibilities

Develop and optimize high-performance data processing workflows and pipelines using Python, pandas, polars, ClickHouse, NATS, and Dask. Build and deploy containerized applications, write tests, and collaborate through Git-based development practices.

Requirements

Requires advanced Python data-processing skills, experience optimizing large-dataset workloads, and hands-on knowledge of Docker, Kubernetes, ClickHouse or similar databases, NATS, pytest, Dask, and Git. Seniority is listed as mid-senior, and experience in financial services, CI/CD, DevOps, or additional data science and machine learning libraries is preferred.

Skills

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Pipeline Development
Distributed Computing
Data Processing
Unit Testing

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS
Pytest
Dask
Git
Data Engineering
Data Pipelines
Data Processing
Large-Scale Datasets
Containerization
Container Orchestration
Distributed Computing
Parallel Processing
Out-of-Core Computation
Columnar Databases
OLAP
Analytical Queries
Event-Driven Architecture
Asynchronous Processing
Unit Testing
Integration Testing
CI/CD
DevOps
Financial Services
Capital Markets

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