Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
About the role As a Data Integration Engineer , you will make an impact by designing, implementing, and supporting enterprise system integrations and data platform solutions that enable seamless data exchange across business-critical applications. You will be a valued member of the Data & Integration team and work collaboratively with the Chief Data Office, business stakeholders, vendor partners, and technical teams to deliver scalable and reliable integration capabilities.
In this role, you will: Design, develop, and support system integrations and APIs across enterprise platforms and third-party vendor solutions.
Build and optimize data pipelines that ensure data quality, reliability, governance, and operational efficiency.
Partner with the Chief Data Office and cross-functional teams to resolve integration challenges and support evolving business requirements.
Troubleshoot complex technical issues, perform root cause analysis, and implement sustainable solutions.
Create technical documentation, knowledge-sharing materials, and transition plans to support long-term maintainability and operational success.
Work model We strive to provide flexibility wherever possible. Based on this role's business requirements, this position is hybrid 4 days in Toronto, ON.
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 Proven experience designing and implementing enterprise system integrations and API-based solutions.
Strong expertise with data platforms, including data pipelines, data quality management, and data governance practices.




Experience supporting large-scale integration initiatives in complex enterprise environments.
Demonstrated ability to diagnose, troubleshoot, and resolve technical issues across distributed systems.
Experience creating technical documentation and leading knowledge transfer activities.
Hands‑on experience using AI-powered development tools such as GitHub Copilot, Claude, Windsurf, or similar productivity and automation solutions.
Strong communication, collaboration, and stakeholder management skills.
Ability to adapt quickly and effectively within evolving project environments.
These will help you stand out Experience supporting vendor integration or digital transformation initiatives.
Familiarity with enterprise data architecture and modern integration patterns.
Experience working closely with data governance, analytics, or Chief Data Office organizations.
Knowledge of cloud-based integration and data platform technologies.
Experience operating within large-scale corporate or consulting environments.
We're excited to meet people who share our mission and can make an impact in a variety of ways.
Applications will be accepted until September 29th, 2026. Salary and Other Compensation: The annual salary for this position is between $95,000 - $110,000 depending on experience and other qualifications of the successful candidate.
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: Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
Long-term/Short-term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and advantages information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

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📌 Data Integration Engineer (Ontario)
🏢 Cognizant
📍 Ontario