Software Development Engineer II

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 Team Technology is the home for Expedia Group’s innovation and engineering teams. We build the technology that powers the world’s travel experiences, helping travelers and partners connect to the people, places, and experiences that matter most. This Software Development Engineer II role is part of the Commerce Attributes Store Team team which sits within our Technology division. The team builds and supports Commerce Data products that provide a trusted, single source of truth for booking information, including the attributes and metrics used by analytics and other Expedia Group teams. In this role, you will independently deliver well-scoped software components and services that contribute to scalable, reliable systems and clear APIs while working with guidance from more senior engineers. In this role, you will: Develop and maintain streaming and batch data-processing pipelines that support scalable, secure, and high-quality data products and services. Build and operate data workflows using Kafka, Spark, and Amazon S3, applying appropriate patterns for real-time ingestion, transformation, storage, and downstream consumption. Design, build, and evolve reliable data-intensive software solutions using Java, including system design (LLD), API design, and data modeling. Collaborate with product, data, and engineering teams to translate requirements into reusable technical solutions, well-structured data flows, and maintainable service integrations. Own the end-to-end lifecycle of assigned components and features, including implementation, automated testing, deployment, monitoring, troubleshooting, and incident resolution. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, including familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Bachelor’s degree in Computer Science, Engineering, or a related technical field; or equivalent practical experience in software development or data engineering. 2+ years of relevant professional experience building and maintaining production software, data-processing systems, or data pipelines in a team environment. Demonstrated ownership of well-defined services, components, pipelines, or features, including contributions to design, implementation, quality, deployment, and operational support. Proficiency in Java, with experience applying software engineering fundamentals—including data structures, algorithms, system design (LLD), API design, and data modeling—to real systems. Hands-on experience with streaming and batch data processing, including Kafka, Spark, and Amazon S3, as well as familiarity with AI-driven tools or workflows that enhance development productivity or product capabilities.

Experience designing and evolving data-processing architectures that combine streaming and batch patterns, with well-structured data models, integration points, and reliable downstream consumption. Experience improving the performance, scalability, resilience, or reliability of Kafka- and Spark-based pipelines and services operating on high-volume or latency-sensitive workloads. Practice with operational excellence for data