6 days ago
Responsibilities
- Design, build, and maintain reliable data pipelines and services across multiple domains.
- Apply data modeling, API design, system design, low-level design, and scalable data processing techniques.
- Develop, test, deploy, and operate production-quality data solutions focused on reliability, performance, maintainability, and security.
- Collaborate with engineers, product partners, analysts, and domain experts to deliver data products and technical solutions.
- Use data-driven analysis to improve pipeline performance, data quality, operational visibility, and decision-making.
- Establish and improve data contracts, observability, governance, and automated data quality frameworks.
- Safely integrate and operate AI/ML-enabled solutions and workflows.
Requirements
- Bachelor’s degree in Computer Science or a related technical field, or equivalent related professional experience.
- At least 5 years of relevant professional experience.
- Experience building and operating production data pipelines, services, or platforms with ownership across multiple services or a defined technical domain.
- Proficiency in data modeling, data processing, software development fundamentals, API design, system design, and low-level design.
- Experience developing maintainable, testable, reliable solutions with knowledge of observability, incident response, performance, and operational excellence.
- Preferred: experience designing scalable data architectures across multiple services or a broad technical domain.
- Preferred: demonstrated improvements to system reliability, data quality, performance, and operational efficiency through measurable outcomes.
- Preferred: experience leading technical decisions, mentoring engineers, and influencing architecture.
- Preferred: familiarity with AI/ML-enabled data products, model-serving or data workflows, and applying AI/ML concepts to real-world products.
- Preferred: experience delivering flexible data engineering solutions across multiple domains while balancing maintainability, scalability, security, and customer impact.
Benefits
- Medical, dental, and vision coverage.
- Paid time off and an Employee Assistance Program.
- Wellness and travel reimbursement.
- Travel discounts and International Airlines Travel Agent Network (IATAN) membership.
- Inclusive and accessible recruiting experience with accommodation support available.
Categories
Data Engineering
About Expedia
Expedia Group builds a global online travel marketplace where consumers book flights, hotels, vacation rentals, cars, and activities, and partners distribute and market inventory across its platform. It monetizes through commissions, merchant/agency models, and advertising via brands including Expedia, Hotels.com, and Vrbo. Founded in 1996 and headquartered in Seattle, the public company (NASDAQ: EXPE) serves travelers and partners in more than 70 countries with B2C, B2B, and ad tech offerings.