IT & data jobs in Canada

Explore it & data jobs in Canada. Choose a role or place to find work that fits.

Counted Oct 26, 2026

Hiring at a glance

View jobs

Open jobs: 3,919
Employers: 1,822

Advertised starting pay

Average starting payCAD / year: $96,515Across 350 listings
Average starting payCAD / hour: $48.59Across 260 listings
Average starting payUSD / year: $122,129Across 57 listings
Average starting payUSD / hour: $45.33Across 15 listings

Employer-advertised starting pay, not employee salaries. Currencies and pay periods stay separate.

Where work happens

Remote: 5%177 listings
Hybrid: 38%1,499 listings
On-site: 57%2,229 listings

Not specified: <1% (14 listings)

Employers hiring include TD (67), J&M Group (45), S M Software Solutions Inc (44).

Sources & calculation notes

These figures describe the listings on this role page at the date shown, not the whole job market. Listings can change.

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.

Hybrid and on-site classifications may be inferred from descriptions. Check the original ad. How we count

IT & data jobs in Canada

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Added 9 mins ago
SM
RQ11680 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 9 mins ago
SM
RQ11681 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
Added 9 mins ago
IC
Database Administrator
Infotek Consulting Inc.
Toronto, ON
- $50 to $70 CAD / hour
- Part-time
Added 9 mins ago
A
Technical Systems Analyst :: Fulltime :: Toronto, ON
AceStack
Toronto, ON
- Full-time
…business requirements into technical specifications, analyze data and system integrations, and…
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Vancouver
RBC
Vancouver, BC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Calgary
RBC
Calgary, AB
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Halifax
RBC
Halifax, NS · Bedford, QC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Vancouver
RBC
Vancouver, BC
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 23 mins ago
R
Data Engineer, RBC Amplify 2027, Calgary
RBC
Calgary, AB
- Full-time
As a Data Engineer you will collaborate, innovate, ideate
Added 39 mins ago
IG
Data Engineer
Insight Global
Toronto, ON
- $60 to $80 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 39 mins ago
SM
RQ00762 – Systems Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…Microsoft Dynamics AX/D365 Finance and Operations (D365FO)/C365CM, Data Management Framework (DMF), system integrations, Microsoft Power Platform, Power Apps, Power Pages, and Dataverse.…
Added 39 mins ago
2I
Financial Data Analyst
2iSolutions Inc.
Oshawa, ON
- $90 to $95 CAD / hour
- Contract
Our client - A large industrial organization based out of Oshawa - is looking to hire a Financial Data Analyst for a 1 year contract position. This is an hybrid based position - on-site 2…
Added 39 mins ago
DC
Database Administrator
Dasro Consulting Inc.
Winnipeg, MB
- Contract
Added 1 hour ago
TC
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
TechNeptune Consulting Inc.
Canada
- Contract
We are seeking a skilled Data Engineer with strong hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data…
Added 1 hour ago
TC
Data Engineer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
Added 1 hour ago
TI
Database Administrator
Teckhorizon Inc
Toronto, ON
- Contract
Added 1 hour ago
IG
Data Engineer
Insight Global
Toronto, ON
- $85 to $89 CAD / hour
- Contract
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.
Added 1 hour ago
IG
Data Engineer
Insight Global
Toronto, ON
- $70 to $82 CAD / hour
- Contract
Hands-on experience developing and migrating data pipelines.
Added 1 hour ago
IS
Business System Analyst (Banking domain)
Iris Software Inc.
Toronto, ON
- Contract
Added 1 hour ago
S
Intermediate Data Engineer
Swoon
Toronto, ON
- $80 to $90 CAD / hour
- Contract
We are seeking a Data Engineer with experience in data engineering, cloud technologies, and machine learning operations to support the development and improvement of data capabilities.
Added 1 hour ago
M
Senior Data Architect
Miratech
Toronto, ON · North York, ON
- Full-time
Added 1 hour ago
GZ
Data Analyst
Gestion Zagora
Westmount, QC
- Full-time
Gestion Zagora manages more than 8,000 residential units across Canada and the US. The Data Strategy & Innovation team partners with Finance, Asset Management, Operations, Accounting, and…
Added 1 hour ago
GE
Data Analyst - WFM
Global Excel Management
Sherbrooke, QC
- Other
Are you an analytical professional who enjoys transforming data into meaningful business insights? Do you thrive in a fast-paced environment where your analyses directly influence…
Added 1 hour ago
Software Development Manager, Region Flexibility & Efficiency
Amazon
Toronto, ON

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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