Software Development Engineer II - (Data Engineering)

• Design, build, and maintain scalable, reliable, and secure data pipelines and streaming and batch data processing solutions that support analytics, reporting, and product use cases across multiple domains.

• Develop, optimize, and maintain data models, schemas, and interfaces (including APIs and data contracts) that ensure data is well-structured, discoverable, and usable by downstream systems and stakeholders.

• Implement high-quality, well-tested, and observable data engineering solutions using approved Expedia Group technologies, following established coding standards, system design (including low-level design), and data modeling practices.

• Collaborate with product, analytics, and engineering partners to understand data requirements, translate them into technical solutions, and deliver high-impact datasets and services that enable data-driven decision making.

• Ensure end-to-end operational excellence of data services, including monitoring, alerting, performance tuning, cost optimization, and incident response for the data products and pipelines you own.

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‑enabled data solutions that improve data quality, efficiency, or customer outcomes.

Minimum Qualifications:

• Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.

• 3+ years of relevant professional experience

• Hands-on experience with data modeling, advanced SQL, and at least one programming language commonly used for data engineering within Expedia Group, along with solid understanding of system design (including low-level design), API design, and data integration patterns.

• Demonstrated ownership of end-to-end components such as a data service, pipeline, or dataset, including delivery, quality, reliability, and ongoing maintenance within a broader data or product ecosystem.

• Experience working with modern data platforms, storage systems, and processing frameworks as documented for the SDE II Data Engineering role, and applying engineering best practices such as testing, code reviews, and version control.

Preferred Qualifications:

• Experience designing and operating data pipelines and services at scale, including optimization for performance, reliability, and cost across large datasets and high-throughput environments.

• Proven track record implementing robust data models and contracts that support multiple consumers and use cases, and leading design discussions for system design, API interfaces, and data architectures within a team.

• Strong background in observability and operational excellence for data systems, including metrics, logging, alerting, runbook creation, and participation in on-call or incident response for data platforms.

• Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including safely integrating and operating AI/ML‑enabled solutions that improve data processing, data quality, or personalization capabilities.

• Role-appropriate experience leveraging AI/ML in data engineering contexts, such as feature data pipelines for ML models, data preparation for training/serving, or using AI-assisted tools to improve development productivity and data reliability.