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Data Integration Remote Jobs in Toronto, ON (NOW HIRING)

The Data Scientist supports data integration and modeling for a portfolio of customers, supporting ... We are fully remote, with team members in the United States and Europe. Benefits include: * Equity ...

... Pickering (100% Remote) Job Overview JOB FUNCTION As a Senior Data Developer, you will be ... Implement data ingestion and curation data pipelines that offer an integrated, business-centric ...

25-199 - Data Engineer

Oshawa, ON · Remote

$85 - $95/hr

... remote) Job Overview As an Azure and Databricks Data Engineer, you will be responsible for ... Build curated common data models designed by the Data Modelers that offer an integrated, business ...

ODAIA is a remote first organization, all our positions are WFH with frequent company and team ... Develop integrations with Veeva/Salesforce and other third-party data sources; contribute to proof ...

... remote) Job Overview As a Senior Data Developer, you will be responsible for building and ... Implement data ingestion and curation data pipelines that offer an integrated, business-centric ...

Data Engineer

Toronto, ON · Remote

CA$140K - CA$190K/yr

This is a fully remote position that offers a competitive salary range of $140,000 to $190,000 USD ... Build reusable data integration patterns that support growing volumes, new source systems, and ...

This is a remote role, required to work in EST hours. Who We Are  Marketbridge is a leading ... Our integrated approach brings together teams, technology, data, strategies, processes, and plans ...

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Utilize Murex integration technologies, APIs, and data management tools to deliver business ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

Murex S4C Consultant

Toronto, ON · On-site +1

CA$80K - CA$120K/yr

Utilize Murex integration technologies, APIs, and data management tools to deliver business ... The starting pay range for this remote role is $80,000-120,000. This range reflects the minimum and ...

This is a remote role overseeing a team of 2 and reporting to the Sr. Director of Data Engineering ... Integrate enriched, highly trusted data with key business platforms (e.g.,Google, Tik Tok, Meta) to ...

Customer issues can span application functionality, data, integrations, environments, databases ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

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Customer issues can span application functionality, data, integrations, environments, databases ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

New

Customer issues can span application functionality, data, integrations, environments, databases ... This remote role welcomes candidates anywhere in Canada and the US. Travel is required as needed ...

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Data Integration Remote information

What is the difference between Data Integration Remote vs Data Analyst Remote?

AspectData Integration RemoteData Analyst Remote
Required SkillsData mapping, ETL tools, database managementData visualization, statistical analysis, SQL
CertificationsETL, data management certificationsGoogle Data Analytics, Microsoft Excel certifications
Work EnvironmentPrimarily technical, working with databases and data pipelinesAnalytical, reporting-focused, using visualization tools
Industry UsageData engineering, integration projectsBusiness intelligence, reporting, insights

While both roles involve working with data remotely, Data Integration Remote focuses on connecting and managing data sources through ETL processes and database management. Data Analyst Remote emphasizes analyzing data, creating reports, and visualizations to support business decisions. Understanding these differences helps job seekers target roles aligned with their skills and career goals.

What are popular job titles related to Data Integration Remote jobs in Toronto, ON?

For Data Integration Remote jobs in Toronto, ON, the most frequently searched job titles are:

What job categories do people searching Data Integration Remote jobs in Toronto, ON look for?

The top searched job categories for Data Integration Remote jobs in Toronto, ON are:

Infographic showing various Data Integration Remote job openings in Toronto, ON as of August 2026, with employment types broken down into 42% Full Time, 28% Part Time, and 30% Contract. Highlights an 100% Remote job distribution.

Data Integration Engineer

GFR Technologies SE

Toronto, ON • Remote

Full-time

Posted 10 days ago


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.