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.

46,503 listings · 6,636 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (604 listings), Scotiabank (587 listings), TD (433 listings).

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

6,824 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	4,077
CAD / hour	23.72	2,012
USD / year	120,000.00	363
USD / hour	20.00	101
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 6 hours ago
SM
Store Manager
Summerhill Market
Toronto, ON
- Full-time
Added 6 hours ago
D
Business Development Manager Toronto
Digicast
Toronto, ON
- Full-time
Added 6 hours ago
CL
Claims Coordinator
Charger Logistics Inc.
Brampton, ON
- Full-time
Added 6 hours ago
ZS
Senior Java Developer
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 6 hours ago
C
Experienced Machine Operator 1
Cascades
Toronto, ON
- Full-time
Added 6 hours ago
C&
Millwright
Cain & Associates
Woodbridge, ON
- Full-time
Added 6 hours ago
CC
Global Account Manager
Cogent Communications
Toronto, ON
- Full-time
Added 6 hours ago
HE
Customer Service Representative
Hype Events
Toronto, ON
- $40,000 to $48,000 CAD / year
- Full-time
Added 6 hours ago
L&
Associate Lawyer
Lecker & Associates, Toronto Employment and Disability Lawyers
Toronto, ON
- Full-time
Added 6 hours ago
CC
Global Account Manager
Cogent Communications
Toronto, ON
- Full-time
Added 6 hours ago
K
Merchandiser, Toronto
Kravet
Toronto, ON
- Full-time
Added 6 hours ago
Client Service Coordinator
Bayshore
Vaughan, ON
Added 6 hours ago
Vendor Manager
Rogers Communications
Toronto, ON · Brampton, ON
Added 6 hours ago
- Enterprise GTA Sales
Rogers Communications
Toronto, ON · Brampton, ON
Added 6 hours ago
MF
Director Threat Intelligence
Mackenzie Financial Corporation
Toronto, ON
- Other
Added 6 hours ago
F/
Risk Specialist (Risk Reporting)
FCC / FAC
Toronto, ON
- Full-time
Added 6 hours ago
N
Maintenance Technician (Electrician)
Novolex
Brampton, ON
- Full-time
Added 6 hours ago
N
Setup Technician L1
Novolex
Brampton, ON
- Full-time
Added 6 hours ago
GI
Room Attendant
GDI Integrated Facility Services
Toronto, ON
- Full-time
Added 6 hours ago
RB
Director, Operational Resilience, Business Continuity and Incident Management
Royal Bank of Canada
Toronto, ON
- Full-time
Added 6 hours ago
S
Inventory Control Coordinator
Sysco
Toronto, ON
- Full-time
Added 6 hours ago
SI
Software Engineer, Android, Level 4
Snap Inc.
Toronto, ON
- Full-time
Added 6 hours ago
AR
Floating General Manager
Algonquin Resort
Toronto, ON
- Full-time
Added 6 hours ago
SI
Front of House Manager
Service Inspired Restaurants
Toronto, ON
- Other
Added 6 hours ago
SI
Front of House Manager
Service Inspired Restaurants
Toronto, ON
- Other

Epsilon Solutions Ltd.

Python Developer – Data Engineering

Toronto, ON, Canada

Contract

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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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