About the Role
- 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. Role Expectations Proactively teams up with peers across the organization to build an understanding of cross dependencies and shared problem solving. Participates in a community of practice to share and gain knowledge. Continually seeks new technical skills in an engineering area. Shares new skills and knowledge with team to increase effectiveness. Demonstrates knowledge of advanced and relevant technology. Exhibits comfort working with several forms of technology. Understands the relationship between applications, databases and technology platforms. Demonstrates advanced knowledge of building and operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets. Develops and tests complex or non-routine software applications and related programs and procedures to ensure they meet design requirements. Effectively applies knowledge of software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, modular with good naming conventions. Effectively applies knowledge of databases and database design principles to solve data requirements. Effectively applies concepts of object oriented design, distributed computing, performance/scalability tuning, advanced data structures and algorithms to batch and real-time stream analytics and large data processing. Understands software frameworks and how to leverage them to write simpler code. Leads and clarifies code evolution in code reviews. Coordinates different stakeholders with varied perspectives to develop solutions to issues, and contributes own suggestions. Thinks holistically to identify opportunities around policies/processes to increase efficiency across organizational boundaries. Assists with a whole systems approach to analyzing issues by ensuring all components (structure, people, process and technology) are identified and accounted for. Recognizes areas of inefficiency in code or systems operation and offer suggestions for improvements. Recommends advancements, innovations and changes in technologies (specifically relating to data engineering, cloud data platforms, data models, enterprise information management, business intelligence, data science, and AI/agentic tooling). Evaluates where AI-assisted or agentic approaches can responsibly improve pipeline development, testing, or operational efficiency, and pilots them within established engineering standards. Identifies opportunities to build AI agents that automate repetitive or manual tasks (e.g. data validation, monitoring, reconciliation, reporting) to drive measurable efficiency gains across the team. Proactively proposes and prototypes agentic solutions for recurring operational pain points, evaluating tradeoffs (accuracy, cost, maintainability) before scaling them into production. Compiles data and reports on major operational or technical initiatives (like RCAs) to larger groups, whether via written or oral means. Experience 5+ years for Bachelor's 3+ years for Master's Functional / Technical Skills Displays strength in a couple of programming languages relevant to data (e.g. Java, Spark, Python). Identifies strengths and weaknesses among languages for particular use cases. Applies organizational technology patterns effectively in their projects and makes recommendations on alternate options. Has hands-on experience working with large volumes of data including different patterns of data ingestion, processing (batch & real-time), movement, storage and access (for both internal and external to BU) and is able to make independent decisions within scope of project. Displays a good understanding of data structures and algorithms. Has hands-on experience working with at least 1 cloud technology and its offerings within the data specialization. Understands how projects/teams interact with other teams. Understands and design moderately complex systems. Has some familiarity with some data modeling and schema design patterns. Has a good understanding of organizational reference patterns and technology choices and applies them to their projects. Tests and monitors code at the project level. Understands how to test and monitor tools. Debugs applications. Tests, debugs and fixes issues within established SLAs. Designs software that is easily testable and observable. Understands how team's goals fit a business need. Identifies business problems at the project level and provide solutions. Experience building or working with agentic frameworks (e.g. LangChain, LangGraph, AutoGen, CrewAI, or similar) to orchestrate multi-step, tool-using AI workflows. Hands-on experience using AI-supported development tools (e.g. Claude Code, GitHub Copilot, Cursor) to accelerate coding, debugging, and code review. Comfortable designing and integrating LLM-based components into data pipelines — e.g. using an LLM for data validation, anomaly summarization, or natural-language querying over pipeline outputs. Understands prompt design and evaluation basics well enough to build reliable, testable AI-assisted features, not just ad hoc prompting. Applies the same engineering rigor (testing, monitoring, cost/performance tradeoffs) to AI-agent components as to traditional data pipeline code. Key skill areas: Development/language skills (Java/Python/Scala) Architecture Testing, monitoring, alerting Business acumen/domain knowledge Data access patterns Streaming technology Data validation Data performance Cost optimization AI-assisted / agentic development Education: Bachelor's or Master's or equivalent experience. Technical degree preferred. Software development in at least 3 different languages. Built and maintained more than one data pipeline/data product in production environments (bug fixing, troubleshooting, monitoring, etc.). 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.