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 ...

Teladoc

Data Engineer

Toronto, ON

This role focuses on enabling data integration and migration efforts, ensuring data from multiple source systems-both structured and unstructured-is consistently ingested, transformed, validated, and ...

Royal Bank of Canada

Senior Data Architect

Toronto, ON · On-site

Data Integration & Governance * Architect scalable, secure, and high-performance data integration solutions using modern ETL/ELT platforms. * Design comprehensive data governance frameworks, policies ...

SNC-Lavalin

Data Architect

Toronto, ON · On-site

The Data architect will define the data architecture and support system integration design to enable business transformation. A key focus will be influencing the organization's cloud and data ...

Scotiabank

Integration Engineer

Toronto, ON · On-site

Skilled in SQL, Azure data services, IBM DataStage, and database development, with a proven ability to build scalable ETL processes, integrate complex data sources, and ensure high data quality and ...

Scotiabank

Manager, Data Engineer

Toronto, ON

Designs, builds, and maintains scalable data architectures and data pipelines using SQL Server (on premise and private cloud) to support periodic data integration, transformation, validation, and ...

Tiger Analytics Inc.

GenAI Data Engineer

Toronto, ON · On-site

As a Data Engineer, you will be responsible for designing, building, and maintaining data pipelines, data integration processes, and data infrastructure. You will collaborate closely with data ...

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 Aug 9, 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.

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 tools, ETL (Extract, Transform, Load) processes, and programming languages like SQL, Python, or Java is essential. Certifications such as Certified Data Management Professional (CDMP) or vendor-specific credentials can also enhance job prospects.

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 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 does data integration do?

Data integration involves combining data from different sources into a unified view, enabling organizations to analyze and use the data more effectively. Data integration specialists use tools like ETL (Extract, Transform, Load) processes and data warehouses to ensure data consistency, accuracy, and accessibility across systems.

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.

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, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $102,739 per year, or $49.4 per hour.

Data Integration Engineer

GFR Technologies SE

Toronto, ON • Remote

Full-time

Posted 3 days ago

New

Job description

Data Integration Engineer (Azure & Databricks)

Location: Canada (Hybrid/Remote)
Experience: 5-8 Years

Position Overview

We are seeking a hands-on Data Integration Engineer to join our growing data and analytics team. This role is focused on the design, development, enhancement, and support of enterprise data integration solutions within an Azure and Databricks ecosystem.

The ideal candidate is an execution-oriented professional who enjoys building and supporting data pipelines, integrating data from multiple source systems, and implementing scalable modern data platform solutions. While the role requires participation in solution discussions, the primary focus is on delivery, implementation, and operational support, rather than enterprise architecture or strategic consulting.

Key Responsibilities

Data Integration & Engineering

  • Design, develop, and maintain scalable data integration pipelines using Azure and Databricks.
  • Build and support batch and near real-time data ingestion processes from multiple internal and external source systems.
  • Develop data transformation logic to support analytics, reporting, and business consumption requirements.
  • Implement data quality, validation, reconciliation, and monitoring processes.
  • Optimize pipeline performance and troubleshoot production issues.

Databricks Development

  • Develop and maintain Databricks notebooks, workflows, and processing pipelines.
  • Build transformation frameworks using Spark and Databricks best practices.
  • Support data ingestion, cleansing, enrichment, and aggregation activities.
  • Work with large and complex datasets across multiple domains.

Azure Data Platform Delivery

  • Develop solutions using Azure data services including:
    • Azure Data Factory (ADF)
    • Azure Data Lake Storage (ADLS)
    • Azure Databricks
    • Azure SQL
    • Azure Synapse (preferred)
  • Support deployment, monitoring, and operational activities across the data platform.

Data Architecture Implementation

  • Implement and support Medallion Architecture (Bronze, Silver, Gold layers).
  • Ensure data lineage, governance, and consistency across the platform.
  • Contribute to data modeling and solution design discussions.
  • Translate architectural direction into technical implementation and delivery.

Team Collaboration

  • Collaborate closely with Data Engineers, Solution Architects, Product Owners, and Business Stakeholders.
  • Support ongoing initiatives and enhancements within an established delivery team.
  • Participate in Agile ceremonies, sprint planning, estimation, and backlog refinement.
  • Assist in production support, troubleshooting, and continuous improvement initiatives.

Required Qualifications

  • 5-8 years of experience in Data Engineering, Data Integration, or Data Platform Development.
  • Strong hands-on experience with Azure Databricks.
  • Proven experience building and supporting enterprise-scale data pipelines.
  • Strong understanding of data ingestion, transformation, and integration patterns.
  • Experience integrating data from multiple source systems and platforms.
  • Solid understanding of modern data lake and lakehouse architectures.
  • Experience implementing Medallion Architecture concepts.
  • Strong SQL development and data analysis skills.
  • Experience working within Agile delivery teams.

Technical Skills

Required

  • Azure Databricks
  • Apache Spark / PySpark
  • Azure Data Factory (ADF)
  • Azure Data Lake Storage (ADLS)
  • SQL
  • Python
  • Data Integration & ETL/ELT Development
  • Data Quality & Reconciliation

Preferred

  • Azure Synapse Analytics
  • Delta Lake
  • CI/CD for Data Pipelines
  • Azure DevOps
  • Git
  • Kafka or Event-Driven Architectures
  • Power BI

Preferred Experience

  • Experience supporting cloud-based analytics and reporting platforms.
  • Experience working with complex enterprise data ecosystems.
  • Exposure to financial services, insurance, banking, or regulated industries.
  • Experience supporting production environments and ongoing operational initiatives.
  • Familiarity with data governance and data management best practices.

Apply