Founded in 2017, TripArc is a $750 million privately held company powers the top Travel Agencies and Tour Operators in North America. Our expansive and growing network empowers seamless access to a comprehensive range of travel options and services globally with over $750 million transactions annually - all at the industry’s best rates.

As an industry leader in technology, purchasing, finance, HR and marketing, we know how to deliver solutions to travel professionals in the most effective way possible. With deep experience in partnering with two leading brands in the luxury travel space – Kensington Tours and Travel Edge – TripArc has real insight into the needs of tour operators and travel agencies today.

TripArc’s goals are simple. To make our network of over 1400 travel entities more profitable, efficient and help them create truly unique travel for their clients.

As a Data Engineer at TripArc, you will be an integral part of our technology team responsible for enhancing and optimizing our data infrastructure. We are seeking a skilled professional with expertise in Azure Data Factory to contribute to the development and maintenance of our data pipelines, ensuring seamless access to a comprehensive range of travel options and services.

Key Responsibilities:

  • Collaborate with cross-functional teams to evaluate new data functionality requests and prioritize based on business value.
  • Design, develop, and maintain scalable data pipelines and ETL processes using Azure Data Factory and Azure Databricks.
  • Implement and maintain integrations with third-party APIs, ensuring data accuracy and reliability.
  • Optimize backend solutions for performance and security, working closely with frontend developers for seamless integration.
  • Participate in code reviews, testing, and debugging of data engineering code.
  • Create and maintain project documentation, ensuring effective knowledge transfer within the team.


  • Bachelor's degree in Computer Science or Engineering or equivalent practical experience.
  • 5+ years of hands-on experience in data engineering, with a focus on designing and delivering optimized data pipelines using Azure Data Factory and data warehousing solutions.
  • Strong expertise in Azure Data Factory, Azure SQL Databases, Mongo, Azure Cosmos DB, Azure Databricks, PySpark and Azure Power Platform.
  • Integrating ETL processes end-to-end data pipelines (using ADF and Azure Databricks) to ensure the quality and consistency of data from different source systems to target data repositories.
  • Design, implement, and maintain end-to-end secure architecture solutions leveraging Azure technologies, including Azure Application Gateway, API Management Gateway, Service Bus, Logic Apps and Azure Functions.
  • Advance understanding of DevOps concepts including azure DevOps framework and tools for CI/CD pipelines.
  • Proficiency in the Microsoft technology stack, including .NET Core and Python.
  • Knowledge of Microsoft SQL Server and/or other relational and non -relational databases.
  • Experience with code versioning tools such as GitHub and Azure DevOps.
  • Understanding of Agile development methodologies; experience with Jira Software is an asset.
  • Effective communication skills and ability to work collaboratively in a team.

Our Tech Stacks: As a Microsoft-centric environment, we leverage modern JavaScript frameworks such as Angular, React, and Blazor over a Microsoft .NET Core MVC application base. You will play a pivotal role in setting and executing the direction of our platform, with a focus on implementing RESTful WebAPIs, integrating relational databases, and working with Entity Framework

We are committed to providing employment accommodation in accordance with the Ontario Human Rights Code and the Accessibility for Ontarians with Disabilities Act. If you require accommodation due to a disability at any stage of our hiring process, please advise us when completing your application.

We thank all candidates for their interest however only those selected for an interview will be contacted.

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