Software Development Engineer II

Expedia•Seattle, WA

2d•$119,000 - $190,500•Hybrid

About The Position

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. Team Introduction We are the Analytics Platform organization at Expedia Group, building and operating the advanced analytics tools that power decision-decision-making across our family of travel brands. Our team provides the core engines that analysts, data scientists, and engineers rely on every day to understand traveler behavior, optimize experiences, and drive the company’s strategy. As a Software Development Engineer II, you will join a team that: Owns and operates Databricks as a first-class compute and data engineering platform for large-scale ETL, machine learning, and advanced analytics workloads. Runs Trino/Starburst as a critical query layer, enabling interactive analytics over diverse data sources with strong SLIs/SLOs and a focus on reliability and performance. Provides JupyterHub and ShinyProxy as self-service environments for experimentation, data exploration, and building lightweight analytical applications for stakeholders across Expedia. Partners closely with product, BI, and data science teams to design and evolve the end-to-end analytics ecosystem - from data ingestion and governance to query engines, notebooks, and visualization tools. Solves real platform engineering problems: multi-tenant performance, cost optimization, capacity planning, observability, automation, and security at global scale. We work as a high-ownership, engineering-driven team: we build platforms that we also run in production, we measure ourselves on reliability and customer satisfaction, and we continuously improve the developer experience for thousands of internal users. In this role, you will: Design, develop, test, and maintain reliable, scalable, and secure services and applications, contributing to API design, low-level system design, and data modeling for business and platform use cases. Own delivery of well-defined features and components from technical design through implementation, testing, deployment, and operational support in production. Troubleshoot and solve technical problems with guidance from senior engineers when needed, making sound engineering decisions and applying standard methodologies across services and systems. Collaborate closely with cross-functional partners, including engineering, product, program, and operations, to translate requirements into technical solutions and deliver against team goals. Improve code quality, test coverage, automation, observability, and operational readiness through code reviews, documentation, and continuous improvement of team practices. Build familiarity with AI/ML-driven systems, tools, or workflows, and contribute to integrating practical AI/ML-enabled solutions into production environments safely and responsibly.

Requirements

Bachelor’s degree in Computer Science or a related technical field; or equivalent related professional experience.
2+ years of relevant professional experience.
Experience building software in at least one modern programming language and associated ecosystem, with understanding of data structures, algorithms, and core software engineering best practices such as testing, code review, and continuous integration/deployment.
Experience developing, debugging, and supporting production services or applications in a cloud-based or distributed environment.
Ability to contribute to technical solutions for services or subsystems, including implementation, integration, troubleshooting, and operational support.

Nice To Haves

Experience building or supporting distributed systems, data platforms, or internal developer platforms.
Familiarity with API design, service integration patterns, and data modeling for scalable applications and services.
Experience with monitoring, alerting, incident response, and performance optimization for production systems.
Exposure to analytics, data engineering, or platform technologies such as Databricks, Trino/Starburst, JupyterHub, ShinyProxy, or similar tools.
Familiarity with AI-driven systems, tools, or workflows and an interest in applying AI/ML concepts to real-world engineering problems.
Demonstrated ability to learn quickly, collaborate effectively, and use metrics or data to improve system performance and reliability.

Responsibilities

Design, develop, test, and maintain reliable, scalable, and secure services and applications, contributing to API design, low-level system design, and data modeling for business and platform use cases.
Own delivery of well-defined features and components from technical design through implementation, testing, deployment, and operational support in production.
Troubleshoot and solve technical problems with guidance from senior engineers when needed, making sound engineering decisions and applying standard methodologies across services and systems.
Collaborate closely with cross-functional partners, including engineering, product, program, and operations, to translate requirements into technical solutions and deliver against team goals.
Improve code quality, test coverage, automation, observability, and operational readiness through code reviews, documentation, and continuous improvement of team practices.
Build familiarity with AI/ML-driven systems, tools, or workflows, and contribute to integrating practical AI/ML-enabled solutions into production environments safely and responsibly.