Data Engineer II - Service Data

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. 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.  Expedia Group’s Service Data team is seeking a Data Engineer II to help build reliable, scalable data products for servicing domains. This role sits within Domain Data Engineering, where the team builds and operates robust data products, owns raw service-domain datasets across servicing channels, and delivers curated datasets for analytics, machine learning, and operational workloads. The role is focused on designing and implementing batch and near real-time data pipelines, improving data quality and observability, and enabling secure access to trusted domain data for downstream consumers.   In this role, you will:  Design, build, and maintain batch and near real-time data pipelines that generate high-quality domain datasets for Service Data use cases Contribute to scalable data products that support analytics, machine learning, and operational decision-making across servicing channels Build and operate distributed data processing systems with a strong focus on reliability, maintainability, and operational readiness Write clean, modular, and testable code using Python, Scala, or Java, with a focus on performance, maintainability, and correctness Partner with engineers, product, analytics, and stakeholder teams to understand requirements, align on solutions, and deliver measurable value Support secure and efficient access patterns for aggregated and curated data, including service or API-based consumption where needed Visualize and analyze service data using dashboards or reporting tools to help stakeholders draw insights, identify trends, and support data-driven decisions Participate in peer reviews, knowledge sharing, and retrospectives to foster team growth and engineering excellence Communicate status, tradeoffs, and technical decisions clearly to teammates and stakeholders Stay current with evolving practices in cloud data platforms, data modeling, streaming and batch processing, and data reliability   Minimum Qualifications: 2+ years of hands-on experience in data engineering with a Bachelor's degree in a technical field (or equivalent experience); or 0–2 years with a Master's Built and maintained at least one production data pipeline or data product, ideally supporting business-critical workloads Proficient in at least one data-engineering language (Python, Java, Scala, Kotlin) and familiar with tools such as Apache Spark, Airflow, Kafka, or similar frameworks Understand batch vs. streaming processing, modern data architectures and distributed systems Strong experience with advanced SQL, working with both relational databases and distributed data stores Strong written and verbal communication skills, with an ability to explain technical approaches clearly   Preferred Qualifications: Exposure to API or service-based data access patterns, including GraphQL or similar technologies Understanding of tradeoffs between