Software Development Engineer III

Expedia•Chicago, IL

1d•$136,000 - $190,500•Hybrid

About The Position

Expedia Group Advertising helps Expedia Group and its partners connect with travelers and measure the impact of advertising across Expedia Group brands and partner channels. Within Emerging Business Technology, the Measurement, Attribution & Data Platform organization builds data and software capabilities for reliable advertising measurement, attribution, and insights. As a Software Development Engineer III, you will design and evolve backend services and distributed data platforms that power advertising measurement, attribution, and reporting. You will work across data ingestion and processing, measurement services, and delivery of dependable metrics to advertiser-facing and internal experiences, helping advertisers and Expedia Group teams understand campaign performance and make informed decisions. The role requires strong technical ownership: shaping solutions, delivering complex work across team boundaries, and ensuring critical systems are scalable, observable, and dependable in production. You will partner with engineering, product, and analytics colleagues, and raise the technical bar through thoughtful design, high-quality implementation, and mentorship. The role is based in Chicago, Illinois, and requires working from the office at least three days per week under Expedia Group’s flexible work model. Relocation assistance is not available.

Requirements

At least 5 years of related professional experience with a Bachelor’s degree, or at least 3 years with a Master’s degree, in a related technical field; equivalent related professional experience is also accepted.
At least 5 years of backend software development experience working with cloud-based and distributed systems at scale.
Expertise in Java/J2EE and hands-on experience integrating services with relational and NoSQL databases.
Experience with CI/CD pipelines, infrastructure and test automation, and delivering features in Agile development environments.
Demonstrated experience designing and deploying scalable services in a cloud environment such as AWS, Azure, or GCP.

Nice To Haves

Experience with advertising technology, such as ad measurement, attribution, ad serving, campaign management, or real-time bidding and auctions.
Experience with event streaming or messaging systems, such as Flink, Kafka, or similar real-time data-processing technologies.
Experience building data-driven systems, ML-powered features, or experimentation platforms.
Experience contributing to architecture and design for services, APIs, and data models.
Demonstrated ability to improve service quality through performance tuning, observability, and automation.
Experience using metrics and data to guide engineering decisions and measure impact.
Experience applying generative AI to product experiences, data workflows, or internal tools.
Experience contributing to multiple multi-quarter, cross-team projects.
Master’s degree in a related technical field.

Responsibilities

Design, build, and operate scalable backend services and data-processing systems for advertising measurement, attribution, and reporting.
Lead technical implementation of complex features and contribute to architecture, API, and data-model design.
Build and evolve data pipelines that transform advertising interactions and conversion signals into accurate, timely, and trustworthy metrics and insights.
Improve reliability, scalability, latency, and data quality across mission-critical services and pipelines.
Promote maintainable code, automated testing, and effective CI/CD practices.
Establish and improve observability, operational readiness, and automation; participate in production support, incident resolution, and root-cause analysis.
Use service and product metrics to evaluate performance, identify opportunities, and measure the impact of engineering improvements.
Collaborate with product, analytics, and engineering teams to align technical solutions with advertiser and business needs and coordinate dependencies across teams.
Explore and apply emerging technologies, including generative AI, where they can improve measurement workflows, platform capabilities, or engineering productivity.
Mentor engineers and share practices that strengthen technical quality and team effectiveness.