Jobs in Ontario

Jobs across Ontario, Canada. Choose a city or town to search nearby.

168,484 listings · 19,079 employers Counted Oct 26, 2026. How we count

About these jobs

Employers hiring include Loblaw Companies Limited (4,459 listings), Shoppers Drug Mart (3,412 listings), Walmart Canada (2,673 listings).

Common roles: Retail sales associate, Practical nurse, Project manager.

28,208 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 / hour	23.00	14,651
CAD / year	80,000.00	11,115
USD / year	100,000.00	713
USD / hour	20.00	566
CAD / month	4,108.00	43
CAD / week	750.00	27
CAD / day	28.00	11

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, 17% hybrid, 82% 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 Ontario

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Added 2 hours ago
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York Region District School Board
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Senior Business Systems Analyst - SAP Finance
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York Region District School Board
Keswick, ON
- Full-time
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BJRC Recruiting
Toronto, ON
- Full-time
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School Assistants (Lunch-Time Supervisors) - Oak Ridges P.S.
York Region District School Board
Richmond Hill, ON
- Full-time
Added 2 hours ago
SM
1.0 FTE Temporary Designated Early Childhood Educator
Simcoe Muskoka Catholic District School Board
Victoria Harbour, ON
- Internship

Insight Global

Data Engineer

Toronto, ON, Canada

$85 to $89 CAD / hour · Contract

Apply About employer

Applications open in a new tab.

Job details

Pay: $85 to $89 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

Title: Data Engineer

Location: 3x per week onsite DT Toronto

Duration: 12 month contract + possible extensions

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.

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.

*Artificial intelligence tools are used to assist in screening and assessing applicants for this position.

*Pay range for this role is between $85-89/hr CAD.

*This role is an existing vacancy.

*No requirement for Canadian experience or education.

Apply About employer

More about this job

Responsibilities

Design, develop, and maintain data pipelines, and migrate data workloads from on-premises environments to AWS. Integrate and prepare data from multiple sources, collaborate with business and technical stakeholders, and support ML/MLOps integration into production where applicable.

Requirements

Requires at least three years of data engineering experience, strong Python and advanced SQL skills, and hands-on experience developing and migrating pipelines and workloads to AWS. Candidates should also have enterprise experience, strong communication and stakeholder-management skills, and the ability to work directly with business stakeholders.

Skills

Python
SQL
AWS
Data Engineering
Data Pipeline Development
Data 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
AWS
Data Engineering
Data Pipelines
On-Premises Migration
Cloud Migration
Data Integration
Data Transformation
Data Preparation
Machine Learning
MLOps
Enterprise Platforms
Business-Critical Applications
Stakeholder Management
Requirements Gathering
Production Environments
Enterprise Transformation

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