Senior Data Platform Engineer; Data Lake and Catalog

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.

Expedia Group seeks a motivated and results-oriented Senior Software Engineer to join our Data Lake and Catalog team.

As a Senior Software Engineer on an industry-leading data platform, you will build the core of Expedia Group’s Lakehouse and data discoverability capabilities, evolving how we store, govern, and expose data so product and analytics teams can easily find, understand, and trust the data they need.

You will collaborate with experienced software engineers and cross-functional partners to improve our technology, design and develop new services and software solutions, and build and track metrics to ensure high-quality results. You will contribute to technical direction through strong engineering judgment, influence system design, and work closely with business partners to turn product vision into scalable, reliable systems.

We love contributing our work to open-source communities and have successfully done so with tools like Circus Train, a Hive dataset replication tool, and Waggle Dance, a federation service that allows access to data lake tables across multiple catalogs. Recently, we added Hive support to Apache Iceberg, a high-performance open table format for large analytic datasets that underpins many modern Lakehouse architectures.

We guarantee you’ll learn a lot and won’t be bored!

• Design, build, and evolve maintainable, scalable, testable, and observable software for our data lake platform.
• Lead by example in engineering quality through clean, well-tested code and strong coding practices.
• Promote an SLO-driven culture by contributing to reliability goals, observability, and incident learnings.
• Partner closely with engineers and other stakeholders to clarify requirements and deliver effectively.
• Break down complex problems into pragmatic technical solutions, estimates, and implementation plans.
• Own services and platform capabilities through design, delivery, and production operation.
• Lead the technical design of services and platform capabilities that support scale, resilience, and long-term evolution.
• Mentor other engineers through technical guidance, pairing, and day-to-day collaboration.
• Collaborate with architects and partner teams across the organisation to build solutions that benefit Expedia Group more broadly.
• Stay current with relevant technology trends and apply them thoughtfully to improve the platform and developer experience.

• Proven experience as a senior software engineer building and operating production systems at scale.
• Strong passion for technology, engineering excellence, and solving complex engineering problems.
• Experience delivering end-to-end solutions with a focus on scalability, reliability, and observability.
• Strong knowledge of the JVM and server-side Kotlin/Java programming.
• Solid understanding of the Hadoop ecosystem, including Spark, Hadoop, and Hive.
• Strong experience with cloud platforms and data infrastructure, especially AWS, including EMR, S3, and Glue.
• Experience working in Agile environments and contributing through code reviews, design discussions, and collaborative development.
• Strong communication skills, with the ability to work effectively across technical and business stakeholders.
• Ability to manage multiple priorities, make sound technical trade-offs, and deliver in a fast-paced environment.
• Good understanding of architectural patterns and trade-offs, with confidence in recommending practical…