Senior AI/ML Data Engineer - Travel AI Data Pipelines

Expedia, Inc.; Seattle (WA); On-site; USD 185,000 - 258,000; Full time

Benefits offered by this job

Medical/dental/vision coverage

Paid time off

Wellness and travel reimbursement

Travel discounts

IATA membership

Employee Assistance Program

Job summary

Expedia Group is seeking a Senior AI / ML Data Engineer to build the data foundations powering Layla’s AI-native travel experiences, including reliable pipelines, high-quality datasets, and experimentation support.

You will own data quality and observability for production datasets and collaborate with product, analytics, and ML engineering to deliver dependable insights and self-serve answers.

Qualifications

• 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.

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.

Skills

Advanced SQL

Data modeling

Python for data engineering

Data quality

Observability

AI/ML pipelines

Education

Bachelor's degree in Computer Science / Data Engineering or related field

Tools

dbt

BigQuery

Snowflake

Looker/Metabase

Job description

Expedia Group is seeking a Senior AI / ML Data Engineer to build the data foundations powering Layla’s AI-native travel experiences, including reliable pipelines, high-quality datasets, and experimentation support.

You will own data quality and observability for production datasets and collaborate with product, analytics, and ML engineering to deliver dependable insights and self-serve answers.