Data 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 the Team
The Competitive Intelligence Data Platform team is responsible for building high‑quality data products that can be leveraged by Pricing, Marketing Managers, analysts, and ML scientists to power use cases that optimise EG's inventory, availability, and pricing in support of multiple teams across the EG business.

We are looking for a Data Engineer with experience in AI capabilities in building data products and applications, who can craft, develop, and own the next generation of scalable real-time and batch data products and services.

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 engineers to translate business and customer requirements into robust data system designs, including low-level design, API design, and data models for batch and real-time use cases.
- Develop and optimize data ingestion, transformation, and serving workflows using clean, maintainable, and well-documented code, 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 datasets and services.
- Own the end-to-end lifecycle of data features and services, including deployment, monitoring, incident response, and incremental improvement, while safely integrating and operating AI/ML-enabled solutions that improve outcomes.
- Work across different parts of the data stack and adjacent domains, demonstrating familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products.

Minimum Qualifications:

- Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
- 2+ years of relevant professional experience.
- Experience designing, building, and operating production data pipelines, data services, or data platforms, and owning data features or services through development, testing, deployment, monitoring, troubleshooting, and resolution of production issues.
- Hands-on proficiency in at least one modern programming language and its ecosystem, with experience in low-level system design, API design, and data modeling for data-centric, service-oriented, or microservices architectures.

Preferred Qualifications:

- 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 success improving data platform availability, performance, reliability, or quality through metrics, observability, automation, alerting, and automated recovery.
- Experience integrating or leveraging AI/ML-enabled platforms, feature stores, or model-serving data flows in production, and safely operating AI-driven data features to improve customer and business outcomes.
- Experience across multiple areas of the data stack, including ingestion, transformation, storage, and data-serving APIs, with the ability to adapt to new frameworks, platforms, and AI-driven tooling.
- Ability to contribute to data architecture and design decisions using experimentation, evaluation metrics, and other data-driven approaches while helping evolve engineering standards and practices for 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, 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.