Data Engineer III

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business. Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere. Introduction to the team:   Our Technology Team partners with teams across Expedia Group 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.   The Metasearch team focuses on building and maintaining high-quality data integrations with key partners like Google, Trivago, and TripAdvisor. We empower teams in Machine Learning Science and Channel Management with timely, accurate datasets that drive automated, data-informed decision-making at scale.      In this role, you will:     Collaborate proactively across teams and stakeholders, building shared understanding of dependencies, coordinating diverse perspectives, and contributing to collective problem-solving.   Participate in and contribute to communities of practice, continuously learning new technologies and sharing knowledge to improve team and organizational effectiveness.  Design, develop, and operate complex, non-routine data applications, including highly available distributed systems for large-scale batch and real-time data processing.  Apply advanced software engineering and data design principles, including clean, maintainable, modular code; effective use of frameworks; database and schema design; performance and scalability tuning; and advanced algorithms.  Lead and influence code quality and evolution, including code reviews, identifying inefficiencies, and recommending improvements in systems, tools, and operational processes.  Think holistically across systems, identifying opportunities to improve efficiency across technology, processes, and organizational boundaries using a whole-systems perspective.  Drive innovation and continuous improvement, recommending advancements in data engineering, cloud platforms, enterprise data management, analytics, BI, and data science technologies.  Communicate complex technical and operational topics effectively, including compiling reports, conducting RCAs, and presenting findings clearly to technical and non-technical audiences.      Experience and qualifications:    5+ years of experience (Bachelor’s) or 3+ years (Master’s) or equivalent professional experience, with strong software development skills across multiple languages (e.g., Java, Python, Scala, Spark), including understanding their strengths, limitations, and appropriate use cases.  Proven experience building, operating, and maintaining production data pipelines and data products, including monitoring, troubleshooting, debugging, fixing issues within SLAs, and ensuring performance, data validation, and cost optimization.  Hands-on experience with large-scale data systems, including batch and real-time/streaming data ingestion, processing, storage, movement, and access patterns for internal and external consumers.  Strong understanding of computer science fundamentals, including data structures, algorithms, object-oriented design, and distributed systems.  Experience designing moderately complex, highly available, and observable