ZipRecruiter

Log In

1

Data Integration Jobs in Ontario (NOW HIRING)

TMX Group

Integration Developer

Toronto, ON

The Data Integration Developer is responsible for the design, development, implementation, and support of robust Finance, HR, Projects, Procurement and Sales/CRM data integrations between our core ...

Morson Talent

25-156 SAP Data Architect

Toronto, ON · Hybrid

$60 - $100/hr

Your expertise in SAP data models, integration, analytics, and governance will drive data-driven decision-making and support OPG's Strategic Transformation Roadmap (STR). Key Responsibilities: Data ...

Capco

Data Architect

Toronto, ON · On-site +1

Define scalable data integration approaches across platforms, applications, APIs, databases, cloud services, and third-party data sources. * Partner with engineering, architecture, business, and data ...

SGI

Data Architect

Toronto, ON · On-site +1

CA$109K - CA$145K/yr

Ensures data models and integration designs areoptimizedforperformance andsupportstesting and validation of data models, pipelines, and supporting infrastructure. * Applies creative solutions to ...

New

Maarut

CA$1 - CA$11/hr

A minimum of 7 years of hands-on experience in delivering electronic health data integration projects or operations is required. This includes expertise in the acquisition, integration, and ...

New

next page

Showing results 1-20

All JobsData Integration JobsData Integration Jobs in Ontario

Data Integration information

See Ontario salary details

$24.5K

$102.7K

$173K

How much do data integration jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data integration in Ontario is $102,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $129,500.00 per year, depending on experience, location, and employer.

What is a data integration?

A Data Integration job involves combining data from different sources into a unified view for analysis, reporting, and operational use. Professionals in this role design, develop, and maintain data pipelines to ensure seamless data flow between systems. They often work with ETL (Extract, Transform, Load) processes, APIs, and cloud platforms to facilitate integration. Strong skills in SQL, data modeling, and tools like Informatica, Talend, or Apache Nifi are commonly required. Their goal is to ensure data accuracy, consistency, and availability for business and analytical use.

What are the typical daily responsibilities of someone working in data integration?

Data Integration professionals are often responsible for designing, developing, and maintaining ETL pipelines that transfer and transform data between different systems. Their day-to-day tasks may include analyzing data sources, troubleshooting data inconsistencies, optimizing integration workflows, and creating documentation for data processes. Collaboration is frequent, as they work closely with database administrators, data analysts, and business stakeholders to ensure data accuracy and availability. Staying updated with evolving tools and best practices also forms a key part of their ongoing responsibilities.

What are the key skills and qualifications needed to thrive in data integration, and why are they important?

To thrive as a Data Integration professional, you need strong knowledge of data management principles, proficiency in SQL, ETL processes, and experience with data warehousing concepts, often supported by a bachelor's degree in computer science or a related field. Familiarity with integration platforms such as Informatica, Talend, or Microsoft SSIS, as well as certifications like Certified Data Management Professional (CDMP), are commonly beneficial. Excellent problem-solving, communication, and collaboration skills help manage complex projects and liaise with stakeholders across technical and business teams. These abilities are crucial for ensuring seamless, accurate data flow that supports informed business decisions and operational efficiency.

How to become a data integration specialist?

To become a data integration specialist, you typically need a bachelor's degree in computer science, information technology, or a related field. Gaining experience with data management, ETL tools, and programming languages like SQL, Python, or Java is essential, along with knowledge of database systems and data warehousing. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can enhance job prospects.

What are the most commonly searched types of Data Integration jobs in Ontario?

The most popular types of Data Integration jobs in Ontario are:

What are popular job titles related to Data Integration jobs in Ontario?

For Data Integration jobs in Ontario, the most frequently searched job titles are:

What job categories do people searching Data Integration jobs in Ontario look for?

The top searched job categories for Data Integration jobs in Ontario are:

Data Integration jobs near you
Infographic showing various Data Integration job openings in Ontario as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 18% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $102,739 per year, or $49.4 per hour.

Senior Data Integration Engineer

Connor, Clark & Lunn Financial Group Ltd.

Toronto, ON • Hybrid

CA$140K - CA$160K/yr

Full-time

Re-posted 21 days ago

Job description

Interested in joining one of Canada's top performing asset managers? We are looking for a Senior Data Integration Engineer for an existing vacancy in our IT department, Connor, Clark & Lunn Financial Group (CC&LFG) is building an AI Enablement Team to accelerate the responsible adoption of AI across the organization. The Senior Data Integration Engineer will design, build, and manage the pipelines, governance controls, and semantic context that power enterprise-wide AI and analytics. This role goes beyond integration: it ensures data is optimized for autonomous and agentic AI systems that can plan, act, and adapt dynamically within guardrails. At CC&LFG, you will help lay the foundation for agentic AI in financial services - designing the data, governance, and orchestration systems that make AI reliable, explainable, and enterprise-ready. You'll work on cutting-edge AI pipelines, enabling the business to move from AI-assisted insights to AI-driven autonomous workflows. You will create the trusted foundation on which AI agents, copilots, and orchestration frameworks securely operate. Our offices currently operate on a hybrid model with three days in office.

What You Will Do 

Design & Build Pipelines 

  • Develop scalable ETL/ELT processes to integrate structured, semi-structured, and unstructured data from diverse systems (applications, APIs, databases). 

  • Enable real-time and event-driven data flows to support autonomous agent decision-making. 

Safeguard Data & Governance 

  • Implement robust controls for security, privacy, compliance, and bias mitigation. 

  • Establish observability and audit trails for agentic AI pipelines, ensuring transparency and accountability. 

Enable AI & Agentic Readiness 

  • Enrich datasets with semantic context and metadata to power LLM ingestion, RAG pipelines, embeddings, and multi-agent collaboration. 

  • Build connectors and APIs that allow agentic AI systems to dynamically query, retrieve, and act on enterprise data. 

  • Support workflow orchestration across AI agents and business systems. 

Operationalize Agentic AI 

  • Develop feedback loops and monitoring systems to detect drift, hallucinations, or risk in autonomous AI actions. 

  • Ensure guardrails (policy enforcement, escalation paths, human-in-the-loop design) are integrated into pipelines and workflows. 

Streamline Knowledge Sharing 

  • Document integration processes, orchestration patterns, and governance standards to ensure reuse and cross-team adoption. 

  • Provide blueprints for how AI agents interact with structured enterprise data. 

Collaborate Across Teams 

  • Partner with AI Solutions Engineers, governance leads, and business stakeholders to embed data integration into AI-driven workflows. 

  • Drive alignment between technical infrastructure and business value realization from agentic AI. 

What You Bring 

  • Proven experience building resilient, scalable data pipelines for structured and unstructured datasets. 

  • Strong skills in SQL, Python, orchestration frameworks (Airflow, Prefect, Dagster) and modern data transformation tools. 

  • Familiarity with cloud platforms (Azure, AWS, Microsoft Fabric) and integration with AI/ML services. 

  • Expertise in data modeling, semantic enrichment, embeddings, and vector databases for LLM/RAG pipelines. 

  • Understanding of agentic AI concepts: workflow orchestration, autonomous decision-making, human-in-the-loop design, and safety guardrails. 

  • Knowledge of data governance practices including AI ethics, security, privacy, compliance, and auditability. 

  • Ability to collaborate with engineers, AI product teams, and business leaders to make enterprise data agent-ready. 

The salary range for this position is $140,000 - $160,000.  The salary range provided reflects the base salary range for this position as required by legislation. In addition, there is an annual performance bonus which contributes to the total compensation for this position. Further questions may be directed to the HR team during the interview process.

 

#LI-hybrid #LI-KC1

Apply