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 systems, with familiarity in data modeling, schema design patterns, and organizational reference architectures and technology standards.

- Cloud experience within the data domain, with the ability to independently make technical decisions within project scope.

- Strong testing, monitoring, and observability practices, including designing testable systems, testing tools and applications, and identifying and resolving operational inefficiencies.

- Solid business acumen and domain knowledge, with the ability to understand how team goals align with business needs, identify project-level business problems, and deliver practical data-driven solutions.

- Strong understanding of cross-team dependencies, stakeholder interaction, and how projects and teams integrate across the organization.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation .

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Important notice

Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is https://careers.expediagroup.com/jobs/ .

Equal Opportunity
Expedia 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.