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.

46,333 listings · 6,613 employers Counted Oct 6, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (600 listings), Scotiabank (577 listings), TD (424 listings).

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

6,805 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	4,074
CAD / hour	23.65	2,000
USD / year	120,000.00	361
USD / hour	20.00	99
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, 71% 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 5 hours ago
Manager, Financial Accounting & Operations (CPA)
EY
Toronto, ON
Added 5 hours ago
Senior Financial Accountant
EY
Toronto, ON
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Senior Project Manager
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Toronto, ON
Added 5 hours ago
Delivery Manager
Konrad
Toronto, ON
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Data Entry Clerk (Toronto, Ontario)
Recrute Action
Toronto, ON
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Manager, Internal Audit
Brookfield Asset Management
Toronto, ON
- Full-time
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Senior Finance Manager - Customer Finance
CONA Services
Toronto, ON
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Senior Finance Manager - Customer Finance
CONA Services
Toronto, ON
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Manager, Finance (Controllership)
BMO
Toronto, ON
- Full-time
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Customs Solutions, Technology Service Manager
Livingston International
Toronto, ON
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Staff Research Scientist (AI for Self-Driving Labs, 2-year Term)
University of Toronto
Toronto, ON
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University of Toronto
Toronto, ON
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Toronto, ON
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Toronto, ON
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Toronto, ON
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M
Composites Technician
Multimatic
Markham, ON
- Full-time
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Senior Cloud Engineer -Hybrid
Manulife
Toronto, ON
- Full-time
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RC
Part-Time Casual Media Operations Coordinator
Rogers Communications
Toronto, ON
- Part-time
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Director, Retirement Strategy
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Toronto, ON
- Full-time
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Director of Product Growth
Manulife
Toronto, ON
- Full-time
Added 6 hours ago
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Database Administrator
LCBO
Toronto, ON
- Full-time
Added 6 hours ago
IM
Associate, Performance and Analytics, Reporting
Investment Management Corporation of Ontario (IMCO)
Toronto, ON
- Full-time
Added 6 hours ago
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Director, Education Design & Intelligence
TVO
Toronto, ON
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Director, Education Operations
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Zodiac Solutions, Inc

Python Developer – Data Engineering

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 4, 2026
Posting language: English
Posted: Oct 5, 2026

Original job description

Role: Python Developer – Data Engineering

Location: Toronto, ON (4 days hybrid)

Fulltime

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.

Preferred skills:

Experience with additional Python libraries for data science, analytics, or machine learning.
Familiarity with CI/CD pipelines and DevOps practices.
Experience with cloud platforms and cloud-based data engineering solutions.
Knowledge of data orchestration tools and workflow scheduling platforms.
Experience working with financial services, capital markets, trading, or other high-volume data systems.

Apply About employer

More about this job

Responsibilities

Develop and optimize Python-based data processing solutions and analytical data pipelines, working with large datasets and columnar databases. Build and manage containerized applications, support distributed and event-driven processing, and maintain software quality through testing and collaborative development practices.

Requirements

Requires a bachelor’s degree in computer science or an IT diploma with equivalent experience, advanced Python proficiency, and experience with data processing libraries, Docker, Kubernetes, analytical databases, testing, and distributed computing. Candidates should also have strong Git practices and knowledge of data pipelines, messaging architectures, and performance optimization; cloud, CI/CD, orchestration, and financial-services experience are preferred.

Skills

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS.io
Pytest
Dask
Data Pipelines
Distributed Data Processing
Git
Data Modeling
Query Optimization
Object-Oriented Programming
CI/CD

Visa sponsorship

Not detected in the job text

Keywords

Python
Pandas
Polars
Docker
Kubernetes
ClickHouse
NATS.io
Pytest
Dask
Data Engineering
Data Processing
Data Pipelines
Large Datasets
Performance Optimization
Memory Optimization
Object-Oriented Programming
Clean Code
Containerization
OLAP
Analytical Queries
Data Modeling
Query Optimization
Message-Driven Architecture
Asynchronous Processing
Event-Driven Systems
Distributed Workflows
Unit Testing
Integration Testing
Regression Testing
Git

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