Remote Data Engineer: Scalable Travel Pipelines

Direct-Travel; United States; Remote; USD 120,000 - 150,000; Full time

Benefits offered by this job

Total Rewards Package

Remote-friendly

Job summary

Direct Travel is seeking a data engineer to join the data team, building scalable pipelines that power analytics for the fast-paced travel industry. You will work with large datasets from booking systems, 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 in the United States, with responsibilities including designing, building, and

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.

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.

Skills

SQL

Python

Java/Scala

Education

Bachelor’s degree in CS/Engineering or related field

Tools

Airflow

dbt

Kafka

Snowflake

BigQuery

Redshift

AWS

Job description

Direct Travel is seeking a data engineer to join the data team, building scalable pipelines that power analytics for the fast-paced travel industry. You will work with large datasets from booking systems, 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 in the United States, with responsibilities including designing, building, and