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Added 27 days ago
M
DevOps Specialist
Manulife
Toronto, ON
- Full-time
Collaborate with cross-functional teams to support continuous integration, continuous delivery, and operational excellence.
Added 27 days ago
A
Software Developer - Full Stack - Senior
Akkodis
Toronto, ON
- Contract
Position: Software Developer - Full Stack – Senior(.Net & React)
Added 27 days ago
FG
Cloud Network Engineer
FNZ Group
Toronto, ON · CA Toronto Yonge St
- $120,000 to $150,000 CAD / year
- Full-time
Define and evolve cloud network architecture standards, patterns, and processes across Azure, AWS, and GCP
Added 27 days ago
IT Support Specialist (St Thomas Office)
Buckland
St. Thomas, ON · London, ON
Collaborate with other IT teams, vendors, and stakeholders to ensure seamless integration of support services and incident management processes.
Added 27 days ago
C
AI-Aware Data Engineer (Oracle, PostgreSQL & Azure)
Cognizant
Toronto, ON
- Full-time
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…
Added 27 days ago
Senior Manager, Data Services & Platforms
Purolator
ON · Mississauga, ON
Lead the build and evolution of data pipelines on AWS (Glue, Step Functions, S3) and Azure Data Factory, ensuring reliability, observability, and testability
Added 27 days ago
S&
Développeur(euse) principal(e), Logiciels IA | Senior AI Software Developer
S & E Services Limited Partnership
Montreal, QC
- Full-time
Prendre en charge des exigences d’intégration complexes, notamment l’authentification, la persistance des sessions, la confiance des certificats, la pagination, les limites de débit et…
Added 27 days ago
M
Lead Software Architect
Maestronic
Vancouver, BC · Greater Vancouver Metropolitan Area
- Full-time
Define architecture for APIs, telemetry, messaging, device identity, fleet management and vehicle-to-cloud integration.
Added 27 days ago
GO
Quality Assurance Analyst
Government of New Brunswick
Fredericton, NB
- Full-time
Perform manual testing, including functional, regression, integration, and exploratory testing.
Added 27 days ago
TC
AI Deployment & Solutions Engineer
Tata Consultancy Services
Toronto, ON
- Full-time
…problems by combining software engineering, AI/GenAI, data, cloud, integration and platform…
Added 27 days ago
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Manager - Release, Configuration & Environment Management
Hays
Toronto, ON
- Contract
Ensure non-production environments support development, testing, performance, integration, and UAT requirements.
Added 27 days ago
TT
Senior Data Engineer
Tundra Technical Solutions
Toronto, ON
- $70 to $77 CAD / hour
- Contract
Implement data integration solutions across enterprise systems, APIs, cloud platforms, and operational applications.
Added 27 days ago
A
AI Developer / Développeur.euse IA senior
ALFACONSEIL.CA
Montréal-Ouest, QC
- Contract
Le rôle offre l’occasion de travailler avec des technologies de pointe comme Microsoft Copilot, Copilot Studio, Claude, Azure OpenAI et les services Azure AI.
Added 27 days ago
PG
Full Stack Developer with Python, Gen AI and Azure
Pacer Group
Toronto, ON
- $120,000 to $130,000 CAD / year
- Full-time
Job Title: Full Stack Developer with Python, Gen AI and Azure
Added 27 days ago
Senior Associate Crypto Platform Engineer
Scotiabank
Toronto, ON
…developing implementation checklists and executing hands-on systems integration for Crypto Platforms, including HSM…
Added 27 days ago
G
Développeur(euse) logiciel sénior / Senior Software Developer - Clear ID
Genetec
Remote, Canada
- Full-time
- Remote
Intégration et déploiement continu (CI/CD) utilisant Azure DevOps
Added 27 days ago
SS
SaaS Onboarding -Systems Engineer & Automation - AVP
State Street
Toronto, ON
- Full-time
…different environments, maintain, support, and enhance continuous integration…
Added 27 days ago
EF
Quality Assurance Lead
Element Fleet Management
Toronto, ON
- Full-time
Review and support automation test plans, system integration testing, user acceptance testing, and regression testing guidelines, and provide training to team members with varying levels of…
Added 27 days ago
Systems Administrator
Postmedia Network Inc.
ON
…including requirements, selection, implementation, configuration, integration, upgrades, support and…
Added 27 days ago
Systems Administrator
Postmedia Network Inc.
ON
…including requirements, selection, implementation, configuration, integration, upgrades, support and…
Added 27 days ago
M
Back-end Software Engineer (Kotlin)
Manulife
Waterloo, ON · Montreal, QC
- Full-time
…GitHub, DevOps pipelines (Jenkins, GitHub Actions), Cloud (Azure Kubernetes Service), Spring Boot and Spring Cloud. Your backend services will power new features in our native Android and…
Added 27 days ago
S
– Ingénieur(e) IA | AI Engineer
Systematix
AB · Edmonton, AB
- $150 to $180 CAD / hour
- Full-time
Intégration d’API et de systèmes d’entreprise
Added 27 days ago
R
Lead ML Platform Engineer
RBC
Calgary, AB
- Full-time
Collaborating with engineers, and machine learning researchers to automate code analysis, build, integration and deployment of ML applications;
Added 27 days ago
A
Lead Data Engineer / Data Platform Lead
Apexon
Toronto, ON
- Full-time
Understanding of REST API design, OpenAPI specifications, and API integration patterns in frontend applications.
Added 27 days ago
A-
Software Developer - Integration
AMA - Alberta Motor Association
Edmonton, AB · Administration Centre
- Full-time
…solve problems. We could use a passionate techy like you! As a Developer on our Information Services team, you'll design, build, test, and support backend solutions that help AMA deliver…

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

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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.

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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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