Data Engineer III - Partner 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.

Introduction to the Team Partner Data Team at EG builds innovative products, services, and tools to deliver high-quality data experiences for partners and our internal teams. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for our partners that drive customer satisfaction.

As a Data Engineer, you will lead projects, design and build scalable, reliable data services and pipelines by leveraging AI tools and technologies that power analytics, reporting, and data-driven product experiences. You will combine strong software engineering fundamentals with data engineering and AI skills to deliver secure, high-quality data products on modern cloud  this role, you will:

Own and evolve complex, business ‑ critical data products end to end — from technical design and implementation through deployment, monitoring, and day ‑ to ‑ day production support, escalating appropriately on the most complex or cross ‑ org decisions

Apply modern engineering practices and use AI as a co ‑ pilot across the software development lifecycle to clarify requirements, explore designs, accelerate coding, strengthen automated testing, and improve operational excellence and reliability

Collaborate with partners across engineering, product, data, and business functions — contributing to cross ‑ team designs, surfacing trade ‑ offs clearly, and helping align simple, resilient solutions

Design and integrate services, APIs, and data models so that high ‑ quality data and capabilities are easily consumable by both human users and AI systems, working within established architectural patterns and guardrail

Share knowledge and mentor others, especially earlier ‑ career engineers, through code reviews, pairing, and design discussions — including helping teammates use AI tools effectively and responsibly as part of their daily workflow

Minimum Qualifications:

Bachelor’s degree in computer science or a related technical field; or Equivalent related professional experience5+ years of relevant professional experience

Experience with owning data products, with demonstrated impact within a domain or product

Proven experience delivering at least one significant end to end service or product within a product or domain using AI tools(like Claude, Codex, copilot) .Proficiency in at least one modern programming language (like Java, Scala) and strong computer science fundamentals (data structures, algorithms, object-oriented or functional design), with hands-on experience in system design (LLD), API design, and data modeling

Experience working with data pipelines, batch and stream, including building, consuming, and evolving them.

Preferred Qualifications:

Experience designing and building reliable, scalable systems on cloud platforms, including contributing to service boundaries, resilience mechanisms, and operational best practices

Strong proficiency using AI tools and techniques as part of everyday software engineering work (for example, exploring implementation options, generating and hardening code, enhancing test coverage, or analyzing production behavior), with sound judgment about when human ‑ only review is required

Experience developing frameworks for AI-driven coding agents, including MCP and spec-driven development methodologies

Experience defining and enforcing AI governance practices to ensure responsible, secure, and compliant AI system…