Data Engineer

Role overview

Direct Travel is seeking a Data Engineer to join its data team and build scalable data pipelines for analytics and business decisions in the travel industry. You’ll unify data from booking, customer, pricing, and third-party API sources to enable use cases like personalization, demand forecasting, route optimization, and customer experience improvements. This is a remote role.

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 deliver reliable datasets that meet data needs
• Integrate data from booking engines, mobile apps, customer service systems, and web analytics tools
• Develop and optimize data models and schemas in cloud data warehouses such as Snowflake, BigQuery, and Redshift
• Implement data quality checks and monitoring to ensure accuracy and reliability
• Support real-time streaming for dynamic pricing, inventory updates, and customer interactions
• Ensure data privacy, governance, and compliance (e.g., GDPR, CCPA)

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field
• 4+ years of experience in data engineering or backend data development/integration
• Strong SQL and proficiency in at least one programming language: Python, Java, or Scala
• Experience with cloud platforms: AWS, GCP, or Azure
• Experience with modern data stack tools such as Airflow, dbt, Kafka (and related technologies)
• Knowledge of data warehousing concepts and tools

Nice to have

• Experience in travel or hospitality
• Familiarity with travel data formats/systems (e.g., PNRs, GDS, IATA standards)
• Exposure to predictive analytics, personalization, or recommender systems
• Experience with API integrations with travel platforms and third parties