Software Development Engineer III - Customer Data Platform

Expedia•Seattle, WA

51d•Hybrid

About The Position

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. Customer Data Platform at EG builds innovative products, services, and tools to deliver high-quality data experiences for travelers, partners, and our internal teams. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences for the traveler and our partners that drive loyalty and customer satisfaction. As a Software Development Engineer, you will lead projects, design and build scalable, reliable data services and pipelines that power analytics, reporting, and data-driven product experiences. You will combine strong software engineering fundamentals with data engineering skills to deliver secure, high-quality data products on modern cloud infrastructure.

Requirements

Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience
5+ years of relevant professional experience
Experience with owning service solutions, with demonstrated impact within a domain or product
Proven software development experience delivering and operating production services at scale, with ownership of at least one significant service or component within a product or domain
Proficiency in at least one modern programming language 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 service-oriented or microservices architectures, including building, consuming, and evolving APIs, and using relational or non-relational databases and other data storage technologies

Nice To Haves

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 development
Experience in advertising technology (AdTech) environments
Demonstrated ability to collaborate and influence across disciplines — partnering with engineering, product, and data stakeholders to move designs forward, unblock dependencies, and land changes that span multiple teams
Track record of leading technical workstreams that simplify components or services, improve performance or reliability, or increase developer productivity within and adjacent to your team

Responsibilities

Own and evolve complex, business‑critical services 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