At a Glance
- Tasks: Design and implement internal backend APIs for a cutting-edge data integration platform.
- Company: Join a dynamic tech team in Toronto, ON, focused on innovation.
- Benefits: Competitive pay, flexible work environment, and opportunities for skill development.
- Other info: Collaborative culture with a focus on career growth and learning.
- Why this job: Make a real impact by building scalable solutions that enhance data processing.
- Qualifications: Experience with Java or .NET, and knowledge of REST APIs and event-driven systems.
The predicted salary is between 82800 - 101200 $ per year.
Location: Onsite at Toronto, ON
Objective: Engage a contract Data Engineer / Backend API Engineer to design and implement internal backend APIs supporting an enterprise data integration platform. These internal APIs will orchestrate processing, validate data, and route requests to downstream systems, operating behind an externally exposed API layer.
Scope of Work:
- Design and build internal REST and event‑driven APIs that receive single requests from an external API layer for downstream processing
- Implement backend logic to:
- Validate, transform, and enrich incoming data
- Orchestrate workflow and route requests to target systems and databases
- Route each request to the appropriate destination system
- Integrate backend services with:
- Internal databases
- Downstream systems and APIs
- Ensure solutions meet agreed non‑functional requirements for:
- Reliability, scalability, and performance
- Logging, monitoring, and error handling
- Secure data handling and interface contracts
- Collaborate with internal application, platform, and integration teams to ensure alignment on API contracts, event schemas, and deployment timelines
- Produce technical documentation sufficient for operational support and knowledge transfer
Technical Environment:
- Cloud Platform: Azure (primary), AWS (secondary if required)
- API Styles: REST APIs and event‑driven messaging
- Core Technologies: Java or .NET for backend API implementation, Kafka for event streaming and asynchronous processing
- Integration: Internal systems, databases, and downstream APIs
Engagement Model:
- Minimal discovery; work executed against a defined architecture and scope
- Contractor expected to work independently while coordinating with internal teams as needed
- Production‑ready internal backend APIs and supporting data pipelines
- Event‑driven integration components where required
- Technical documentation and handoff materials
Duration & Resourcing: Specific duration, capacity, and milestones to be defined within the commercial SOW.
Data Engineer / Backend API Engineer in Toronto employer: Cognizant
Cognizant is an exceptional employer that fosters a dynamic work culture focused on innovation and collaboration, particularly in the fast-paced financial services sector. Employees benefit from comprehensive growth opportunities, including access to cutting-edge technologies and professional development programs, all while working in a supportive environment that values diversity and inclusion. Located in a vibrant tech hub, Cognizant offers unique advantages such as networking with industry leaders and participating in transformative projects that make a real impact.
