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About the Role
As a Senior AI / ML Data Engineer, you will build the data foundations that power Layla’s AI-native travel experiences — the reliable pipelines, high-quality datasets, and experimentation and evaluation support that let the team ship and improve AI/ML systems in production with confidence.
Responsibilities
- Design, build, and operate reliable, scalable data pipelines that power Layla’s AI-native trip-planning and booking experiences across Layla and Bellboy.
- Own data quality, reliability, and observability across critical datasets, establishing well-documented, trustworthy data models that other teams can confidently extend.
- Build and support the data foundations for experimentation and model evaluation, enabling honest, timely readouts that inform product and AI/ML decisions.
- Enable the production use of AI/ML systems — supporting feature and data availability, evaluation datasets, and monitoring — while applying AI/ML concepts responsibly.
- Partner closely with Product, Analytics, and ML/engineering teams to turn ambiguous questions into dependable data and self-serve answers.
- Advocate for engineering excellence in data — testing, documentation, and reusable patterns — and mentor other engineers on best practices.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or a related technical field; or equivalent related professional experience.
- 8+ years of relevant professional experience.
- Strong data engineering expertise, including advanced SQL and data modeling, and experience designing and operating production data pipelines.
- Proficiency with Python for data engineering work.
- Demonstrated ability to own data quality, reliability, and observability for critical datasets in production.
- Familiarity with supporting AI/ML systems in production — such as data/feature pipelines, evaluation datasets, or experimentation — and applying AI/ML concepts to real-world products responsibly.
Skills
- Advanced SQL
- Data modeling
- Python
- Data quality
- Data reliability
- Data observability
- AI/ML systems
- Experimentation
- dbt
- BigQuery
- Snowflake
- Looker
- Metabase
- Attribution modeling
- Generative AI
- AI-assisted development tools
Location
- Seattle
- Austin
Work Type
- Full-time
Experience Level
- Senior
- 8+ years of relevant professional experience
Education Level
- Bachelor's degree in Computer Science, Data Engineering, or a related technical field
Salary/Compensations
- Seattle: $184,500.00 - $258,000.00 (potential to $295,000.00)
- Austin: $184,500.00 - $258,000.00 (potential to $295,000.00)
Benefits
- Medical/dental/vision
- Paid time off
- Employee Assistance Program
- Wellness & travel reimbursement
- Travel discounts
- International Airlines Travel Agent (IATAN) membership
About the Company
- Expedia Group helps travelers explore the world, one journey at a time.
- We are 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.
- 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.
- 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.
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.