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Data Engineer

People are at the core of Fareportal. We are one of the fastest growing travel technology companies in the world; our portfolio of travel brands, including flagship product CheapOair, receives over 100 million visitors annually. 

We are looking for a Data Engineer to join our team. As a data engineer at Fareportal, you will be responsible for building out the data tools and processes to support the creation of insights that will drive our business. You will participate in the design and implementation of the entire data pipeline, from capturing and storing data to processing that data and making that data available to other team members. We are passionate about making data-driven decisions and mining data for actionable insights and need talented people to help us make that happen.


  • Identifying, locating, gathering, converting, and validating raw data into a format that allows convenient consumption for data scientists, analysts, and software developers.
  • Coordinating the movement of data from original data sources into noSQL data lakes and cloud environments.
  • Working closely with data scientists and developers to design and maintain scalable data pipelines.
  • Developing actionable code and scripts that are ready to be put into production.
  • Engaging with the company’s top leadership to gain access and share insights from data stores across business units.


  • 2-4 years Python experience, 1 year Spark experience
  • Education: BA, BS or related degree in CS, Information Systems or similar discipline.MS or above preferred
  • You are a motivated and collaborative data engineer and have strong experience creating and maintaining software and tools that manage and audit large data sets.
  • Developed and performed complex SQL queries to collect data, identify data inconsistencies, and move data from system to system.
  • Worked with software development environments and using modern version control systems.
  • Experienced with multiple scripting languages, including Python, R, or Perl, and have a deep understanding of MapReduce and big data tools such as Pig, Hive, and Spark. AWS preferred
  • Has built complex ETLs and have a solid understanding of XML and JSON.
  • Experience in improving efficiency and accuracy of data collection, entry and verification


What we offer

  • Plenty of vacation time
  • Flexible work hours
  • Medical, dental and vision benefits
  • Flexible spending accounts
  • Travel benefits
  • Team outings
  • Corporate discounts
  • Breakfast bar
  • Unlimited coffee
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