Software Development Engineer II - Data Processing

Expedia•Austin, TX

19d

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. 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. Introduction to the Team Expedia Technology teams partner with our Product teams to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. This Software Development Engineer II position sits on the Data Processing team within the Data Platform organization. We build and run Expedia Group’s central data processing platform, helping teams across the company turn large volumes of data into fast, reliable analytics and machine learning that power better traveler experiences. In this role, you will build and enhance core data processing and AI capabilities, improving the reliability, performance, and usability of our platform so teams can more easily create and operate pipelines for critical business decisions.

Requirements

Bachelor's degree in Computer Science or a related technical field; or Equivalent related professional experience.
2+ years of relevant professional experience.
Professional software development experience, including object‑oriented or functional programming, version control, and debugging in at least one modern language (for example, Java, C#, Kotlin, Scala, Python, JavaScript, or similar).
Experience designing and implementing APIs, data models, and low‑level system designs, and delivering features or services in a production environment.
Experience owning well‑defined services, components, or features through the software development lifecycle, including development, testing, deployment, and support.
Familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products.

Nice To Haves

Experience designing and implementing scalable, resilient services or components, including thoughtful API design, data modeling, and system design (LLD) in a cloud or distributed environment.
Experience operating services in production at scale, including monitoring, logging, alerting, incident investigation, and improving reliability and performance.
Demonstrated contributions to improving engineering practices (for example, test coverage, CI/CD pipelines, automation, or code review standards) that raise the quality bar for a team or domain.
Experience safely integrating and operating AI/ML‑enabled solutions that improve outcomes, such as incorporating AI‑powered APIs, tools, or workflows into existing services while managing quality, performance, and risk.
Experience applying AI‑assisted development or analysis tools in day‑to‑day engineering work to improve productivity, code quality, or operational insights.

Responsibilities

Design, develop, test, and maintain high‑quality software services and components, including system design (LLD), API design, and data modeling, to solve well‑scoped business and technical problems.
Collaborate with peers, product, and design to break down requirements, estimate work, and deliver features and fixes that improve customer outcomes across multiple domains.
Write clean, reliable, and maintainable code, including unit and integration tests, and participate in code reviews to raise code quality and share technical knowledge.
Diagnose, debug, and resolve issues in production and non‑production environments, contributing to operational excellence through monitoring, alerting, and continuous improvement.
Safely integrate and operate AI/ML‑enabled solutions that improve outcomes, including familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real world products.
Adapt quickly to new technologies, frameworks, and domains, contributing effectively across different services or components where needed.