Data Engineer II - Service Data
$119kExpedia Group
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.
Our Technology Team partners with teams across Expedia Group 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.
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
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 .
Accommodation requests
Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at .
About Expedia Group
Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.
Important notice
Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never share sensitive personal information unless you are confident of the recipient. Expedia Group does not extend job offers via email or messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official place to find and apply for roles is .
Equal Opportunity
Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law. This employer participates in E-Verify. The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.$76k - $86k
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