Data Engineer

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. *

Do you have experience in Integration with Third-Party Services (system development)?, * 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. *, * 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., * Bachelor’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in data engineering or backend data development.
• 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, etc.).
• Knowledge of data warehousing concepts and tools.
• 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.

Pulled from the full job description

• Health insurance
• Vision insurance
• Dental insurance

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.