Data Engineer II

Requirements

• Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 2+ years of relevant professional experience.
• 2+ years of relevant professional experience designing, building, and operating production data pipelines, data services, or data platforms.
• Hands-on proficiency in at least one modern programming language and its ecosystem, with experience in system design (LLD), API design, and data modeling for data-centric, service-oriented, or microservices architectures.
• Proven experience owning data features or services through development, testing, deployment, and operational support, including monitoring, troubleshooting, and resolving production issues while ensuring data quality, reliability, and secure data handling.
• Experience designing and implementing scalable, fault-tolerant, and high-throughput data solutions, including well-structured schemas, data contracts, and APIs that serve multiple teams or domains.
• Demonstrated track record of improving data platform availability, performance, reliability, or data quality using metrics, observability, automation, and strong operational practices such as alerting and automated recovery.
• Background integrating or leveraging AI/ML‑enabled platforms, feature stores, or model-serving data flows within production systems, and safely operating AI-driven data features to enhance customer and business outcomes.
• Experience working across multiple technical domains or layers of the data stack (for example, ingestion, transformation, storage, and data-serving APIs), adapting quickly to new data frameworks, platforms, and AI-driven tooling.
• Ability to contribute to and influence data architecture and design within a team or product area, making data-driven decisions and helping to evolve engineering standards, patterns, and best practices for robust, responsible use of data and AI/ML.
• 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,

Benefits

Additional Information

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 that deliver high‑quality experiences for travelers, partners, and our employees. A unified technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. The Data Engineer II role sits within our Enterprise Data Product team in the Technology division of Expedia Group. This team builds and maintains scalable data products, pipelines, and services in the cloud that power supply‑side data products across lodging, flights, activities, and cars for internal and external partners. In this role, you will: Design, build, test, and maintain scalable, resilient, and secure data pipelines, data services, and storage layers that power Expedia Group products and platforms. Collaborate with product managers, data scientists, analysts, and other engineers to translate business and customer requirements into robust data system designs, including low-level design (LLD), API design, and data models for batch and real-time use cases. Develop and optimize data ingestion, transformation, and serving workflows, writing clean, maintainable, and well-documented code, along with automated tests and tooling that improve reliability, observability, and data quality. Participate in code reviews, design reviews, and technical discussions, identifying opportunities to simplify data systems, reduce technical debt, and improve performance, scalability, and cost efficiency across multiple datasets or services. Own the end-to-end lifecycle of data features and services, including deployment, monitoring, incident response, and incremental improvement, and safely integrate and operate AI/ML‑enabled solutions that improve outcomes. Work across different parts of the data stack and adjacent domains as needed, demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products.

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