Expedia Group's Service Data team is seeking a Data Engineer II to help build reliable, scalable data products for servicing domains. This role sits within Domain Data Engineering, where the team builds and operates robust data products, owns raw service-domain datasets across servicing channels, and delivers curated datasets for analytics, machine learning, and operational workloads. The role is focused on designing and implementing batch and near real-time data pipelines, improving data quality and observability, and enabling secure access to trusted domain data for downstream consumers.

In this role, you will:

• Design, build, and maintain batch and near real-time data pipelines that generate high-quality domain datasets for Service Data use cases
• Contribute to scalable data products that support analytics, machine learning, and operational decision-making across servicing channels
• Build and operate distributed data processing systems with a strong focus on reliability, maintainability, and operational readiness
• Write clean, modular, and testable code using Python, Scala, or Java, with a focus on performance, maintainability, and correctness
• Partner with engineers, product, analytics, and stakeholder teams to understand requirements, align on solutions, and deliver measurable value
• Support secure and efficient access patterns for aggregated and curated data, including service or API-based consumption where needed
• Visualize and analyze service data using dashboards or reporting tools to help stakeholders draw insights, identify trends, and support data-driven decisions
• Participate in peer reviews, knowledge sharing, and retrospectives to foster team growth and engineering excellence
• Communicate status, tradeoffs, and technical decisions clearly to teammates and stakeholders
• Stay current with evolving practices in cloud data platforms, data modeling, streaming and batch processing, and data reliability

Minimum Qualifications:

• 2+ years of hands-on experience in data engineering with a Bachelor's degree in a technical field (or equivalent experience); or 0-2 years with a Master's
• Built and maintained at least one production data pipeline or data product, ideally supporting business-critical workloads
• Proficient in at least one data-engineering language (Python, Java, Scala, Kotlin) and familiar with tools such as Apache Spark, Airflow, Kafka, or similar frameworks
• Understand batch vs. streaming processing, modern data architectures and distributed systems
• Strong experience with advanced SQL, working with both relational databases and distributed data stores
• Strong written and verbal communication skills, with an ability to explain technical approaches clearly

Preferred Qualifications:

• Exposure to API or service-based data access patterns, including GraphQL or similar technologies
• Understanding of tradeoffs between traditional RDBMS and distributed data systems, and familiarity with modern data access patterns
• Domain knowledge in customer service, contact center, or servicing-related data is a plus
• Demonstrated ability to work across teams, navigate ambiguity, and improve existing systems pragmatically

The total cash range for this position in Seattle is $119,000.00 to $166,500.00. Employees in this role have the potential to increase their pay up to $190,500.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual's knowledge, skills, and experience. Pay ranges may be modified in the future.

Benefits and perks

Expedia Group offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.