IT & data jobs in Canada

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

Counted Oct 9, 2026

Hiring at a glance

View jobs

Open jobs: 2,709
Employers: 1,393

Advertised starting pay

Average starting payCAD / year: $97,105Across 266 listings
Average starting payCAD / hour: $48.85Across 121 listings
Average starting payUSD / year: $117,745Across 48 listings

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

Where work happens

Remote: 5%138 listings
Hybrid: 39%1,057 listings
On-site: 56%1,505 listings

Not specified: <1% (9 listings)

Employers hiring include TD (53), J&M Group (40), Amazon (35).

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 days ago
S
Bus Systems Analyst V
SPECTRAFORCE
Toronto, ON
- $75 to $79 CAD / hour
- Contract
Added 9 days ago
DT
ROV Technical Support Representative
Deep Trekker Inc.
Kitchener, ON
- Full-time
Added 9 days ago
W
Sr Associate Machine Learning Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Added 9 days ago
C
IT Support Agent
Coperion
Richmond, BC
- Full-time
Added 9 days ago
AP
Senior Database Administrator
Alberta Pensions Services Corporation (APS)
AB · Edmonton, AB
- $81,567 to $120,020 CAD / year
- Full-time
Be the reason that critical data is there when it matters most.
Added 9 days ago
Sr. Data Scientist
Pinterest
Toronto, ON
Added 9 days ago
Information Security Analyst
CAA Club Group
Thornhill, ON
Added 9 days ago
Senior IT Business Systems Analyst
The Canada Life Assurance Company
Winnipeg, MB · London, ON · Toronto, ON
Added 9 days ago
RDL Network Administrator
Celestica International LP
Toronto, ON
Added 10 days ago
A
Data Analyst
Acquird.io
Toronto, ON
- $70,000 to $80,000 CAD / year
- Full-time
With under 100 employees and a small, hands-on IT and data team, we're scaling while keeping a practical, no-politics, get-it-done culture.
Added 10 days ago
AI
Application Support Analyst – Java
Apptoza Inc.
Toronto, ON
- Contract
Added 10 days ago
J
Staff Data Scientist, Applied ML
Jobber
AB · Edmonton, AB
- Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 10 days ago
J
Staff Data Scientist, Applied ML
Jobber
Vancouver, BC
- Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 10 days ago
J
Staff Data Scientist, Applied ML
Jobber
Toronto, ON
- Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 10 days ago
J
Staff Data Scientist, Applied ML
Jobber
Kitchener, ON
- Full-time
If so, this might be the role for you! We're looking for a Staff Data Scientist, Applied Machine Learning (ML) to join our growing Data Science team.
Added 10 days ago
Senior Business Systems Analyst - Guidewire (Billing Center)
CAA Club Group
Thornhill, ON
Added 10 days ago
Data Analyst, Investment Data Management
Connor, Clark & Lunn Financial Group Ltd.
Toronto, ON
Interested in joining one of Canada’s top performing asset managers? We are looking for a Data Analyst for an existing vacancy on our Investment Data Management (IDM) team. The IDM Team…
Added 10 days ago
Data Analyst, Investment Data Management
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada’s top performing asset managers? We are looking for a Data Analyst for an existing vacancy on our Investment Data Management (IDM) team. The IDM Team…
Added 10 days ago
Data Analyst
Connor, Clark & Lunn Financial Group Ltd.
Vancouver, BC
Interested in joining one of Canada's top performing asset managers? We are looking for a Data Analyst to join our Enterprise Data Solutions team. In this role, you'll help build…
Added 10 days ago
DR
Senior Data Analyst
Direct Response Media Group Inc
Oakville, ON
- $80,000 to $100,000 CAD / year
Added 10 days ago
T
Data Scientist III
TD
Toronto, ON
- Full-time
Added 10 days ago
Data Scientist, Decisions - Mapping
Lyft
Toronto, ON
As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes…
Added 10 days ago
M
Lead Data Engineer (AI & Data Strategy)
Mastercard
Vancouver, BC
- Full-time
Added 10 days ago
VC
Senior Business Systems Analyst (InEight)
Valard Construction
AB · Edmonton, Alberta
- Full-time
Added 10 days ago
MO
Cybersecurity Analyst - Closing October 14, 2026
Municipality of Port Hope
Port Hope, ON
- Full-time

Cognizant

AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)

Toronto, ON, Canada

The annual salary for this position is anticipated to be between $100,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors. · Full-time

Apply About employer

Applications open in a new tab.

Job details

Pay: The annual salary for this position is anticipated to be between $100,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.
Job type: Full-time
Apply by: Oct 28, 2026
Experience: 8-12 years of experience designing, developing, and supporting enterprise data solutions.
Posting language: English
Posted: Sep 28, 2026

Original job description

About The Role

As an AI-Aware Data Engineer, you will make an impact by designing, developing, and optimizing enterprise data solutions that support analytics, reporting, and AI-ready data initiatives. You will be a valued member of the Data Engineering team and work collaboratively with architects, developers, business stakeholders, testers, and operations teams to build scalable, secure, and high-performing data platforms.

In this role, you will leverage your expertise in Oracle, PostgreSQL, Azure Data Factory, SSIS, and C# to deliver modern data integration solutions while supporting Life & Annuities insurance business processes and enabling AI-driven insights.

In This Role, You Will

Design and implement efficient data models and integration patterns across Oracle and PostgreSQL environments to support enterprise analytics and reporting.
Develop and optimize C#-based data services and APIs that interact with relational databases and enterprise data platforms.
Build, maintain, and optimize scalable data pipelines using Azure Data Factory for ingestion, transformation, and loading of structured and semi-structured data.
Configure, enhance, and support Microsoft SSIS packages for complex data integration and transformation processes.
Develop advanced PL/SQL procedures, functions, and packages that support business logic, data validation, and high-volume transactional processing.
Monitor, troubleshoot, and optimize end-to-end data workflows across Oracle, PostgreSQL, Azure Data Factory, and SSIS environments.
Collaborate with architecture and application teams to develop secure, scalable, and compliant data solutions aligned with enterprise standards.
Create and maintain technical documentation, data flow diagrams, process documentation, and operational procedures.
Prepare high-quality, AI-ready datasets, metadata assets, and curated data structures to support analytics, machine learning, and predictive modeling initiatives.
Implement data quality controls, validation checks, reconciliation processes, and governance standards that support regulatory and business requirements.
Translate Life & Annuities insurance concepts, including policies, premiums, claims, and reserves, into scalable data models and reporting solutions.
Support deployment planning, release validation, production monitoring, and operational support activities within a day-shift environment.
Communicate effectively with technical and business stakeholders through design discussions, project updates, and issue-resolution activities.

Work Model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days per week in a client or Cognizant office.

Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured, we will always be clear about role expectations.

What You Need to Have to Be Considered

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, or a related field.
8-12 years of experience designing, developing, and supporting enterprise data solutions.
Strong expertise in Oracle database development, schema design, performance tuning, partitioning, and PL/SQL programming.
Advanced experience with Azure Data Factory, including pipeline development, orchestration, scheduling, and parameterization.
Strong experience developing and maintaining Microsoft SSIS packages and enterprise ETL workflows.
Hands-on experience with PostgreSQL administration, performance optimization, and query tuning.
Strong C# development experience building data-centric services, APIs, and integration solutions.
Experience designing and implementing scalable data integration and transformation architectures.
Strong understanding of data governance, data quality, security, and compliance practices.
Experience working with enterprise cloud and hybrid data environments.
Strong analytical, problem-solving, and stakeholder management skills.
Excellent written and verbal communication skills in English.

These Will Help You Stand Out

Experience supporting Life & Annuities insurance platforms and business processes.
Knowledge of policy administration, premiums, claims, reserves, underwriting, and insurance reporting.
Experience preparing AI-ready datasets and supporting machine learning, predictive analytics, or AI initiatives.
Familiarity with modern data architecture patterns, including Data Lakes, Data Warehouses, and Lakehouse platforms.
Experience implementing data observability, monitoring, and automated quality controls.
Exposure to cloud-native analytics and reporting solutions on Azure.
Experience working within Agile delivery environments.
Knowledge of responsible AI, metadata management, and data lineage concepts.

Salary And Other Compensation

The annual salary for this position is anticipated to be between $100,000 and $125,000, depending on experience, qualifications, geographic location, skills, and other job-related factors.

This position is also eligible for Cognizant's discretionary annual incentive program, based on performance and subject to the terms of Cognizant's applicable plans.

Benefits

Cognizant offers a comprehensive and competitive benefits package designed to support the health, wellbeing, and financial security of our associates and their families, including:

Medical, dental, vision, and life insurance
Employee Stock Purchase Plan (ESPP)
Employee Assistance Program (EAP)
Paid holidays and paid time off (PTO)
Paid parental leave and fertility assistance programs
Learning and development programs, certifications, and career advancement opportunities
Wellness and mental health resources
Career growth and internal mobility opportunities

Benefits may vary by location and employment status and are subject to change.

Application Deadline

Applications will be accepted until October 30, 2026.

Cognizant reserves the right to close this posting earlier based on application volume, business needs, or hiring timelines.

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize enterprise data models, integrations, pipelines, services, and APIs using Oracle, PostgreSQL, Azure Data Factory, SSIS, and C#. Ensure data workflows are secure, reliable, well-documented, and governed, while preparing AI-ready datasets and supporting Life and Annuities insurance analytics and operations.

Requirements

Requires a bachelor's degree in a related field and 8–12 years of experience designing, developing, and supporting enterprise data solutions. Candidates need strong Oracle and PL/SQL, Azure Data Factory, SSIS, PostgreSQL, and C# expertise, along with data architecture, governance, quality, security, communication, and stakeholder skills.

Skills

Oracle
PostgreSQL
Azure Data Factory
Microsoft SSIS
C#
PL/SQL
Data Modeling
Data Integration
ETL
Database Performance Tuning
Data Governance
Data Quality
Data Security
AI-Ready Data
Life And Annuities Insurance
Stakeholder Management

Benefits

Medical Insurance
Dental Insurance
Vision Insurance
Life Insurance
Employee Stock Purchase Plan
Employee Assistance Program
Paid Holidays
Paid Time Off
Paid Parental Leave
Fertility Assistance
Learning And Development Programs
Certifications
Wellness And Mental Health Resources
Career Advancement Opportunities
Career Growth And Internal Mobility

Visa sponsorship

Not detected in the job text

Keywords

Oracle
PostgreSQL
Azure Data Factory
Microsoft SSIS
C#
PL/SQL
Enterprise Data Solutions
Data Engineering
Data Modeling
Data Integration
ETL
Data Pipelines
APIs
Database Administration
Performance Tuning
Data Governance
Data Quality
Data Security
Regulatory Compliance
AI-Ready Datasets
Machine Learning
Predictive Analytics
Data Lakes
Data Warehouses
Lakehouse
Data Observability
Metadata Management
Data Lineage
Life And Annuities Insurance
Agile

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