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Senior Data Integration Developer Jobs in Ontario

TMX Group

Integration Developer

Toronto, ON

The Data Integration Developer is responsible for the design, development, implementation, and ... This role will work closely with the Senior Business Analyst, SaaS Data & Analytics to build and ...

Morson Talent

25-010 Senior Data Developer

Pickering, ON · Remote

$80 - $95/hr

Senior Data Developer Level: MP5 Hourly Rate: $80 - $95/hour Duration: 10 Months Hours of work: 35 ... Implement data ingestion and curation data pipelines that offer an integrated, business-centric ...

Rock Connections

Senior Data Developer

Windsor, ON

As the Senior Data Developer, you'll join the Rocket Data Platform Enablement team and help build ... Experience developing, integrating with, or supporting REST APIs and data services. * Experience ...

Spirit Omega Inc

Data Engineer

Oshawa, ON · On-site

CA$80 - CA$92.58/hr

Create tooling in collaboration with senior data engineers and data architects to help with day to day tasks, and reduce toil via automation wherever possible. · Work with Continuous Integration ...

New

Morson Talent

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

Work with Continuous Integration/Continuous Delivery and DevOps pipelines to assist in automate ... from senior data engineers. Write and perform automated unit and regression testing for data ...

Royal Bank of Canada

Senior Data Architect

Toronto, ON · On-site

Data Integration & Governance * Architect scalable, secure, and high-performance data integration ... Agile, CI/CD, and DevOps experience; strong SQL optimization skills. * Strong analytical and ...

MealSuite

Senior Data Engineer

Cambridge, ON · On-site

CA$115K - CA$140K/yr

About the Role We are seeking a Senior Data Engineer to design, build, and operate the data systems ... You will take ownership of data pipelines, core data models, and integrations across SaaS platforms ...

MealSuite

Senior Data Engineer

Cambridge, ON

CA$115K - CA$140K/yr

About the Role We are seeking a Senior Data Engineer to design, build, and operate the data systems ... You will take ownership of data pipelines, core data models, and integrations across SaaS platforms ...

Morson Talent

25-108 Senior Data Engineer

Pickering, ON · Remote

$70 - $90/hr

Senior Data Engineer Resume Due Date: Wednesday, June 25, 2025 (5:00PM EST) Number of Vacancies: 2 ... Work with Continuous Integration/Continuous Delivery and DevOps pipelines to automate ...

CorGTA

Senior Data Engineer

Toronto, ON · Hybrid

CA$100/hr

Senior Data Engineer Structure: Hybrid (2 days onsite / 3 days remote) - Toronto Duration: 6-Month ... Build API-driven integrations between enterprise data platforms and Salesforce Data Cloud (CDP/Data ...

MCKESSON

Sr Data Specialist

Mississauga, ON · On-site +1

Design and implement scalable data pipelines and ETL/ELT programs to integrate complex data sources ... Recommend and implement modern tools, technologies, and best practices to enhance data engineering ...

McKesson

Sr Data Specialist

Mississauga, ON · On-site +1

Design and implement scalable data pipelines and ETL/ELT programs to integrate complex data sources ... Recommend and implement modern tools, technologies, and best practices to enhance data engineering ...

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Senior Data Integration Developer information

See Ontario salary details

$33.5K

$115.5K

$176.5K

How much do senior data integration developer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for senior data integration developer in Ontario is $115,469.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,000.00 and $135,500.00 per year, depending on experience, location, and employer.

What are some common challenges Senior Data Integration Developers face when working on large-scale projects?

Senior Data Integration Developers often encounter challenges related to managing complex data sources, ensuring data quality, and maintaining system performance as data volumes grow. Coordinating across multiple teams, such as database administrators, data architects, and business analysts, requires excellent communication and project management skills. Additionally, adapting to evolving technology stacks and integrating new tools can add complexity, making it essential to stay updated on industry best practices. Overcoming these challenges is key to delivering reliable, scalable integration solutions.

What are Senior Data Integration Developers?

Senior Data Integration Developers are experienced IT professionals who design, develop, and maintain data integration solutions across multiple systems and platforms. They are responsible for ensuring that data from various sources is accurately collected, transformed, and loaded (ETL) to support business intelligence, analytics, and operational needs. In addition to technical expertise in data integration tools and programming, they often lead projects, mentor junior developers, and collaborate with stakeholders to optimize data workflows. Their work is critical for enabling organizations to leverage data for informed decision-making.

What are the key skills and qualifications needed to thrive as a Senior Data Integration Developer, and why are they important?

To thrive as a Senior Data Integration Developer, you need strong expertise in data modeling, ETL processes, SQL, and a solid understanding of database architectures, typically backed by a degree in computer science or a related field. Familiarity with integration tools such as Informatica, Talend, Microsoft SSIS, and relevant certifications are highly valuable. Exceptional problem-solving, communication, and project management skills set top performers apart in this role. These skills ensure efficient, reliable data flow across systems, supporting organizational decision-making and operational effectiveness.
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Senior Data Integration Developer jobs near you
Infographic showing various Senior Data Integration Developer job openings in Ontario as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $115,469 per year, or $55.5 per hour.

Senior Data Integration Engineer

Connor, Clark & Lunn Financial Group Ltd.

Toronto, ON • Hybrid

CA$140K - CA$160K/yr

Other

Re-posted 6 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.

 
 

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