Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

Team introduction:
The Supply Data Product team is a data engineering team under Data & AI department within Expedia Group that builds and scales robust data products and pipelines to process large volumes of supply data with speed, reliability, and accuracy. Our work creates a trusted foundation for Supply Intelligence, enabling teams across operations, applications, analytics, and machine learning/data science to access high-quality supply data and turn it into meaningful business and customer insights. By powering scalable data products and applications, we help unlock commercial opportunities and enable analytics and ML teams across Expedia Group to move faster and make better decisions at scale.

In this role, you will:

• Implement and enhance features within complex, business‑critical data pipelines and services, taking ownership of well‑scoped components from design input through coding, testing, deployment, and production support with guidance on larger decisions.

• Design and build reliable, scalable data flows across batch and/or streaming systems, ensuring data is accurate, complete, and delivered within agreed SLAs for downstream consumers (analytics, ML, product features).

• Apply solid engineering practices and actively learn and use AI as a co‑pilot across the software development lifecycle to clarify requirements, explore implementation options, generate and refine code, and strengthen automated tests and checks.

• Collaborate closely with teammates and partners across engineering, product, and data to understand use cases, surface trade‑offs, and deliver simple, reliable solutions that meet customer and business needs.

• Work within established architectures, APIs, and data models, contributing improvements that make data and services more usable and discoverable for both human users and AI systems.

• Share context and technical knowledge through clear documentation, code reviews, and design discussions, helping your team benefit from patterns, lessons learned, and effective, responsible use of AI tools.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

• 2+ years of relevant professional experience in software or data engineering.

• Proficiency in SQL and experience working with large datasets.

• Experience building, deploying, and supporting distributed systems and cloud services at scale in public or hybrid cloud infrastructure, including developing and maintaining production systems as part of a collaborative engineering team.

• Experience with distributed data processing (e.g., Spark) and at least one modern programming language used in data engineering (e.g., Python, Java, Scala).

Preferred Qualifications:

• Experience building and operating services or data‑intensive components on cloud platforms, including contributing to monitoring, alerting, and basic resilience and performance improvements.

• Hands‑on experience using AI‑powered development tools (such as coding assistants, chat‑based agents, or test generators) in day‑to‑day engineering work, with examples of how you validated, corrected, and hardened AI‑generated output.

• Demonstrated ability to collaborate across disciplines — working with engineering, product, data, and operations partners to clarify requirements, unblock dependencies, and land changes safely.

• Examples of improving code quality, test coverage, or developer productivity within your team, such as simplifying modules, strengthening automation, or refining runbooks and documentation.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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.