Jobs in Toronto, ON and nearby

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

53,029 listings · 7,361 employers Counted Oct 8, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (792 listings), Shoppers Drug Mart (772 listings), Scotiabank (573 listings).

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

7,938 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	4,888
CAD / hour	23.00	2,257
USD / year	110,427.00	390
USD / hour	20.00	107
GBP / hour	35.00	14
CAD / month	4,108.00	13
CAD / week	1,125.00	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: 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 Toronto, ON and nearby

Within 25 km

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Added 3 hours ago
AF
Senior Associate - Family Law
Anthony Family Law
Vaughan, ON
- Full-time
Added 3 hours ago
CO
Legal Counsel, Real Estate and Development Law
City of Vaughan
Vaughan, ON
- $169,343 to $198,107 CAD / year
- Full-time
Added 3 hours ago
C
Legal Product Builder
Carta
Toronto, ON
- Full-time
Added 3 hours ago
TI
Full Stack Java Developer
Themesoft Inc.
Toronto, ON
- Contract
Added 3 hours ago
I
Senior Manager, Information Security & IT
illumin
Toronto, ON
- Full-time
Added 3 hours ago
PV
Digital Designer (Contract)
Pet Valu
Markham, ON
- Full-time
Added 3 hours ago
V
Manager, Client Service & Fund Operations Transformation - 12 Month Contract
Vanguard
Toronto, ON
- Full-time
Added 3 hours ago
AG
Business Unit Manager
AXIUS GROUP LLC
Toronto, ON
- Full-time
Added 3 hours ago
Department Sales Manager, Apparel
Sporting Life Group
Mississauga, ON
Added 3 hours ago
TG
Dishwasher (Part-time) - Delmanor Elgin Mills
Tridel Group of Companies
Richmond Hill, ON
- Part-time
Added 3 hours ago
A
Health, Saftey & Wellbeing Advisor
Arcadis
Markham, ON
- Full-time
Added 3 hours ago
Registered Practical Nurse, General Internal Medicine
Sinai Health
Toronto, ON
Added 3 hours ago
Communications Advisor
Fundserv
Toronto, ON
Added 3 hours ago
SC
Produce - Clerk Produce (Part-Time)
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Toronto, ON
- Part-time
Added 3 hours ago
Data Privacy and Ethics Lead
Sobeys Capital Incorporated or a Franchise/Affiliate / ou une franchise/société affiliée
Mississauga, ON
Added 3 hours ago
TG
Dishwasher (Part-time) - Delmanor Elgin Mills
Tridel Group of Companies
Richmond Hill, ON
- Part-time
Added 3 hours ago
Assurance - Intermediate Associate
Segal GCSE LLP
Toronto, ON
Added 3 hours ago
LG
Seasonal Sales Associate - Square One
Lisa Gozlan
Mississauga, ON
- Temporary
Added 3 hours ago
Infrastructure Engineer
HTS Engineering Ltd.
Toronto, ON
Added 3 hours ago
Assistant Store Manager
JD Sports / Livestock / Size?
Markham, ON
Added 3 hours ago
TR
Rédacteur ou rédactrice principal(e), Fiscalité
Thomson Reuters
Toronto, ON
- Full-time
Added 3 hours ago
T
Personal Banking Associate
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
Solutions Design IT Specialist
TD
Toronto, ON
- Full-time
Added 3 hours ago
T
PIA Client Service Associate
TD
Toronto, ON
- Full-time
Added 3 hours ago
N
CAP Intelligence Platform Databricks Engineer
Nasdaq
Toronto, ON
- Full-time

Epsilon Solutions Ltd.

Python Developer

Toronto, ON, Canada

Contract

Apply About employer

Applications open in a new tab.

Job details

Job type: Contract
Apply by: Nov 6, 2026
Posting language: English
Posted: Oct 7, 2026

Original job description

Senior Python Developer

Work site: Toronto

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, and ClickHouse. Build containerized and event-driven systems, implement distributed processing with Dask, and maintain code quality through testing and collaborative Git practices.

Requirements

Requires advanced Python skills, experience processing large datasets with pandas and polars, and hands-on knowledge of Docker, Kubernetes, ClickHouse or similar databases, NATS, pytest, Dask, and Git. Experience with data science or machine learning libraries, CI/CD and DevOps, or financial services and capital markets data 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 Processing Pipelines
Large-Scale Datasets
Containerization
Container Orchestration
Columnar Databases
OLAP
Event-Driven Architecture
Asynchronous Processing
Distributed Computing
Parallel Processing
Out-of-Core Computation
Unit Testing
Integration Testing
Code Coverage
CI/CD
DevOps
Data Science
Machine Learning
Financial Services

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