Data Engineer II

Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model, and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Introduction to the Team: The Technology Team partners with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction.

As a Data Engineer on our team, you will play a pivotal role in shaping our internal technology landscape. You will build and manage the data infrastructure that powers our workplace productivity and operational efficiency, directly contributing to a more seamless and effective experience for all Expedia Group employees. This is an opportunity to work with diverse datasets and modern technologies to solve complex challenges at a global scale.

• Design, develop, and optimize scalable data architectures and ETL pipelines to support our workplace and productivity initiatives.
• Integrate data from diverse internal and third-party sources, such as HR systems, collaboration platforms, and workplace management tools.
• Develop efficient data models and implement storage solutions using relational, NoSQL, and cloud-based databases.
• Apply best practices in data validation, cleansing, and enrichment to guarantee high data quality and support data governance policies.
• Identify opportunities to automate data operations and workflows, using scripting and orchestration tools to improve team productivity.
• Prepare clean, structured datasets to enable business intelligence, supporting the deployment of dashboards and self-service analytics.
• Collaborate with data analysts, IT specialists, and business partners to deliver integrated solutions and clearly communicate technical concepts.
• Maintain thorough documentation for data structures, processes, and code to foster knowledge sharing and continuous improvement.
• Proactively monitor data systems, troubleshoot technical issues, and provide support for complex data-related incidents.

• Bachelor’s degree in a related technical field; or Equivalent related professional experience.
• 2-4 years of dedicated data engineering experience.
• Proficiency in SQL and Python, with experience building ETL pipelines using tools like SSIS.
• Experience with the Microsoft BI Stack (SSAS, MS SQL Server) and exposure to big data platforms (e.g., Hive).
• Familiarity with core AWS data services (e.g., S3, Glue, Redshift, Athena, Lambda).
• Knowledge of data modeling principles, API integration (REST), and version control (Git).
• Experience working within an Agile development environment.
• Proficient analytical, problem-solving, and communication skills.

• Graduate degree or industry certifications in data engineering or cloud platforms.
• Experience with real-time data processing (e.g., Kafka, Spark Streaming).
• Familiarity with workplace productivity platforms (e.g., Microsoft 365, ServiceNow).
• Knowledge of data privacy regulations (e.g., GDPR).
• A proactive mindset for process improvement and an ability to mentor junior engineers.

Expedia Group is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.