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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Data Engineer - **Company:** The Direct - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Airflow, Amazon Web Services, Microsoft Azure, Big Data, BigQuery, Cloud Database, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Database Development, Mobile Application Software, Python (Programming Language), Routing, Systems Development Life Cycle, Recommender Systems, Scala (Programming Language), SQL Databases, Web Analytics, Snowflake, Backend, Information Technology, Apache Kafka, Stream Processing, Data Pipelines, Api Management, Amazon Redshift, Programming Languages - **Published:** June 4, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=32b2c7b0108f721a ## About the Role 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. ## Description 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. * ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Creating a routing app with Google Maps API from scratch](https://www.wearedevelopers.com/videos/831-creating-a-routing-app-with-google-maps-api-from-scratch) - [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [7 Most Popular Web Developer Jobs in Europe](https://www.wearedevelopers.com/magazine/163-7-most-popular-web-developer-jobs-in-europe)