Software Development Engineer III - Data Platform

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.

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.

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 III position reports to the Data Quality Platform Engineering team, which is responsible for designing and building the Data Quality Platform to support EG’s data quality needs, integrated with our extensive Data Platform. As a Software Development Engineer, you will play a key role in developing the new Data Quality Platform, establishing standards, and mentoring engineers on coding best practices.

• Design, build, and evolve platform services and tooling that enable secure, reliable, and scalable software delivery across multiple product and infrastructure domains.
• Develop, extend, and maintain backend components, APIs, and data models for platform capabilities, ensuring clear contracts, disciplined versioning, and effective integration patterns for internal customers.
• Lead and contribute to system and low‑level design for complex platform features, including API design, data modeling, and integrations with underlying infrastructure, observability, and deployment systems.
• Drive high standards of operational excellence by improving reliability, performance, monitoring, and automation for platform services, including incident response, root‑cause analysis, and continuous improvement.
• Collaborate closely with partner engineering teams to understand their needs, onboard them to platform solutions, and ensure platform features are broadly reusable, well‑documented, and easy to adopt across multiple domains.
• Safely integrate and operate AI/ML‑enabled solutions that improve outcomes for platform capabilities, including familiarity with AI‑driven systems, tools, or workflows and applying AI/ML concepts to real‑world products.

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
• 5+ years of relevant professional experience.
• Demonstrated proficiency in at least one modern programming language and ecosystem commonly used for backend or platform engineering, with strong understanding of system design (including low‑level design), API design, and data modeling.
• Experience designing, implementing, and operating backend or platform services in production environments, with ownership of the end‑to‑end lifecycle (design, development, testing, deployment, and ongoing operation) across a multi‑service or multi‑team environment.
• Familiarity with AI‑driven systems, tools, or workflows and the ability to safely integrate AI/ML‑enabled capabilities into engineering solutions under established patterns and guardrails.

• Experience with Java and Type Script in production environments.
• Background working with data‑centric systems such as data platforms, data pipelines, data quality tools, or data catalogs.
• Familiarity with event‑driven or streaming technologies (e.g., Kafka, Kinesis) and microservices architecture.
• Exposure to AI/ML tools or platforms and an interest in…