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Direct Travel

Data Engineer

Posted Yesterday
Remote
Hiring Remotely in USA
Mid level
Remote
Hiring Remotely in USA
Mid level
Design, build, and maintain scalable ETL/ELT pipelines ingesting travel-related data from multiple sources. Integrate and model data in cloud warehouses (Snowflake/BigQuery/Redshift), implement data quality and monitoring, support real-time streaming, and ensure data governance and regulatory compliance. Collaborate with analysts, data scientists, and product teams to deliver reliable datasets for personalization, forecasting, and optimization.
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Job Summary & Responsibilities

Your Expedition (Position Overview)

We are seeking a skilled and motivated Data Engineer to join our data team in building robust and scalable data pipelines that power analytics and business decisions in the fast-paced travel industry. You will work with large datasets from booking systems, customer touchpoints, pricing engines, and third-party APIs to create a unified data environment that supports personalization, demand forecasting, route optimization, and customer experience enhancements. 

 

This is a remote position.

 

Going the Extra Mile (Responsibilities)

  • Design, build, and maintain scalable ETL/ELT pipelines for ingesting data from internal and external travel-related sources (e.g., GDSs, OTAs, CRM systems).
  • Collaborate with data analysts, data scientists, and product teams to understand data needs and deliver high-quality, reliable datasets.
  • Integrate data from various platforms including booking engines, mobile apps, customer service systems, and web analytics tools.
  • Develop and optimize data models and schemas in cloud data warehouses (e.g., Snowflake, BigQuery, Redshift).
  • Implement data quality checks and monitoring to ensure the accuracy and reliability of data.
  • Support real-time data streaming for dynamic pricing, inventory updates, and customer interactions.
  • Ensure data privacy, governance, and compliance with regulations like GDPR and CCPA.

 

Your Passport to Success (Qualifications)

  • Bachelor’s degree in Computer Science, Engineering, or related field.
  • 4+ years of experience in data engineering or backend data development and integration.
  • Proficiency in SQL and at least one programming language (Python, Java, Scala).
  • Experience with cloud platforms (AWS, GCP, or Azure) and modern data stacks (Airflow, dbt, Kafka, IDMC, etc.).
  • Knowledge of data warehousing concepts and tools.

 

Preferred Qualifications

  • Experience in the travel or hospitality industry.
  • Familiarity with travel data formats and systems (e.g., PNRs, GDS, IATA standards).
  • Exposure to predictive analytics, personalization, or recommender systems.
  • Understanding of API integrations with travel platforms and third-party services.


Benefits Onboard  

In addition to Medical, Dental, and Vision benefits Direct Travel offers an employee rewards and recognitions program, Total Rewards Package which includes Wellness, Sustainability, DE&I initiatives, and Mental Health Support.  

 

Our Brand Voyage: Direct Travel  

Direct Travel is a leading provider of corporate travel management services. By leveraging both the expertise of its people and innovative solutions, Direct Travel enables clients to derive the greatest value from their travel program in terms of superior service, progressive technologies, and significant cost savings. The company is led by CEO Christal Bemont and Executive Chairman Steve Singh, noted business investor and founder of Concur. Direct Travel has offices in over 80 locations and is currently ranked among the top providers of travel on Travel Weekly’s Power List. For more information, visit www.dt.com.  


Direct Travel is an EOE/AA/Veteran/People with Disabilities employer  

 

If you're ready to chart a new course and advance your career with the valuable moments and travel experiences that await, we welcome you to submit your resume for consideration at Direct Travel. 


#LI-Remote

Direct Travel Chicago, Illinois, USA Office

Chicago, United States

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