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.

76,729 listings · 9,754 employers Counted Oct 27, 2026. How we count

About these jobs

Employers hiring include Shoppers Drug Mart (1,256 listings), Loblaw Companies Limited (1,080 listings), S M Software Solutions Inc (935 listings).

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

12,510 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	6,906
CAD / hour	25.35	4,476
USD / year	110,000.00	488
USD / hour	25.55	250
CAD / month	4,500.00	21
CAD / week	2,868.82	18

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 Toronto, ON and nearby

Within 25 km

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Added 22 hours ago
Engineering Designer - Electrical
Systemair
Mississauga, ON
Added 22 hours ago
Retail Sales, VP
Sunwing Vacations Group
Toronto, ON
Added 22 hours ago
LC
Grocery Clerk Full Time Day Greenlight Requisition
Loblaw Companies Limited
Mississauga, ON
- Full-time
Added 22 hours ago
Enterprise Collections: Operational Lead - Dialer Administrator
Questrade Financial Group
Toronto, ON
Added 22 hours ago
COOK
Southbridge Healthcare LP
Toronto, ON
Added 22 hours ago
LC
Grocery Clerk Part Time Day
Loblaw Companies Limited
Toronto, ON
- Part-time
Added 22 hours ago
Sales Support Coordinator
Enercare
Toronto, ON
Added 22 hours ago
Inventory Control Analyst
Give and Go Prepared Foods
Vaughan, ON
Added 22 hours ago
Inventory Control Analyst (18 Month Contract)
Give and Go Prepared Foods
Vaughan, ON
Added 22 hours ago
Member Services - Member Support Associate
Mohawk Medbuy Corporation (MMC)
Toronto, ON
Added 22 hours ago
IM
Receptionist (Temporary Coverage: November 20, 2026 to January 22, 2027))
Independent Mechanical Supply Inc.
Toronto, ON
- Contract
Added 22 hours ago
DT
Assistant Manager I
Dollar Tree Stores
Toronto, ON
- Part-time
Added 22 hours ago
R
Business Analyst, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
Added 22 hours ago
R
Developer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
Added 22 hours ago
R
Data Engineer, RBC Amplify 2027, Toronto
RBC
Toronto, ON
- Full-time
Added 22 hours ago
R
Lead AI Engineer
RBC
Toronto, ON
- Full-time
Added 22 hours ago
O
Director, Strategic Business Development & Enterprise Sales
Objectway
Toronto, ON
- Full-time
Added 22 hours ago
AC
MEP Field Specialist
Accenture Construct
Toronto, ON
- Full-time
Added 22 hours ago
DW
Administrative Coordinator
Dying With Dignity Canada
Toronto, ON
- Full-time
Added 22 hours ago
UT
Risk Analyst - # 26-27113
US Tech Solutions
Toronto, ON
- $62 to $66 CAD / hour
- Contract
Added 22 hours ago
I-
Financial Analyst, IFRS, Reporting and Advisory
IFG - International Financial Group
Toronto, ON
- Contract
Added 22 hours ago
ZS
Digital Certificate Management
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Added 22 hours ago
R&
HR Specialist III
Robertson & Company Ltd.
Toronto, ON
- Contract
Added 22 hours ago
UH
Senior Director, Clinical Trials Performance & Head of Operations, SPHERE CRO
Unity Health Toronto
Toronto, ON
- Full-time
Added 22 hours ago
HO
Senior AI Engineer
Hydro One
Toronto, ON
- $90 to $110 CAD / hour
- Contract

Insight Global

Data Engineer

Toronto, ON, Canada

$70 to $82 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $70 to $82 CAD / hour
Job type: Contract
Apply by: Nov 25, 2026
Experience: 3+ years of Data Engineering experience
Posting language: English
Posted: Oct 26, 2026

Original job description

Required Skills & Experience

Must-Have Skills

Strong Python development experience.

Advanced SQL skills.

3+ years of Data Engineering experience

Hands-on experience developing and migrating data pipelines.

Proven experience migrating data/workloads from on-premises environments to AWS.

Strong hands-on experience working within the AWS ecosystem.

Experience integrating and transforming data from multiple sources.

Strong communication and stakeholder-management skills.

Ability to operate in a consultative capacity, working directly with the business.

Experience working within a large enterprise environment.

Nice to Have Skills & Experience

Banking / FS experience

Commercial Banking

Job Description

We are seeking a Data Engineer to support a large enterprise transformation focused on building data pipelines, integrating data, and migrating data workloads from on-premises environments to AWS.

This person should be technically strong in Python and SQL, have hands-on AWS migration experience, and be comfortable partnering directly with business stakeholders. Experience with Machine Learning and MLOps is a strong plus, particularly supporting models through integration and production environments. The scope of work will be contributing to Commercial Banking's Underwriting AI enablement/automation vision

Key Responsibilities

Design, develop, and maintain data pipelines.

Migrate existing data pipelines and workloads from on-premises infrastructure to AWS.

Gather, integrate, transform, and prepare data from multiple sources.

Use Python and SQL extensively for data development and manipulation.

Support integration of data into existing enterprise platforms and applications.

Partner with business and technical stakeholders to understand requirements and translate them into technical solutions.

Support ML/MLOps integration into production environments where applicable.

Work within an enterprise environment supporting business-critical applications and workflows.

Communicate technical concepts clearly to both technical and non-technical stakeholders.

Must-Have Skills

Strong Python development experience.

Advanced SQL skills.

3+ years of Data Engineering experience

Hands-on experience developing and migrating data pipelines.

Proven experience migrating data/workloads from on-premises environments to AWS.

Strong hands-on experience working within the AWS ecosystem.

Experience integrating and transforming data from multiple sources.

Strong communication and stakeholder-management skills.

Ability to operate in a consultative capacity, working directly with the business.

Experience working within a large enterprise environment.

Pay: 70-82

Vacancy: New Vacancy (New Role)

We do use artificial intelligence tools to assist with the screening, assessment, or selection of potential applicants for this position.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain data pipelines, integrate and transform data from multiple sources, and migrate existing pipelines and workloads from on-premises infrastructure to AWS. Partner with business and technical stakeholders to deliver enterprise data solutions and support the integration of machine learning and MLOps into production environments where applicable.

Requirements

Requires at least three years of data engineering experience, strong Python and advanced SQL skills, hands-on data pipeline development and migration experience, and proven experience migrating workloads from on-premises environments to AWS. Candidates should also have experience integrating data from multiple sources, working in a large enterprise, and communicating effectively with business stakeholders.

Skills

Python
Advanced SQL
Data Engineering
Data Pipeline Development
Data Pipeline Migration
AWS
On-Premises-to-Cloud Migration
Data Integration
Data Transformation
Machine Learning
MLOps
Stakeholder Management
Enterprise Data Platforms
Business Communication

Visa sponsorship

Not detected in the job text

Keywords

Python
SQL
Data Engineering
AWS
Data Pipelines
Pipeline Migration
On-Premises Migration
Cloud Migration
Data Integration
Data Transformation
Multiple Data Sources
Machine Learning
MLOps
Production Environments
Enterprise Platforms
Enterprise Transformation
Commercial Banking
Underwriting
AI Enablement
Automation
Stakeholder Management
Business Requirements
Business-Critical Applications
Data Workloads

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