Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success.

Why Join Us?

To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win.

We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We’re building a more open world. Join us.

About Expedia Group

Expedia Group powers global travel for everyone, everywhere. We design cutting-edge technology to make travel smoother and more memorable, and we create innovative solutions for our partners. Our diverse, vibrant, and welcoming community drives our success.

Why Join Us

We foster an open culture where everyone belongs, differences are celebrated, and collaboration is key. We offer competitive benefits, flexible work models, exciting travel perks, and career development resources to fuel your passion for travel.

Why This Role Is Unique

You’ll be at the intersection of data engineering and machine learning, building systems that directly impact Expedia’s partners and marketplace performance. This is a chance to work on high-scale, ML-driven solutions in a collaborative, fast-paced environment.

Team Overview

Our Supply and Marketplace division ensures competitive inventory and pricing while creating excellent experiences for partners and travelers. The Supply Coaching Foundation team helps partners grow their business through adaptive, ML-driven recommendations and insights. We build scalable data and ML pipelines that power these recommendations and continuously improve based on partner feedback.

What You’ll Do:

• Design and build large-scale batch and streaming data pipelines on the cloud, ensuring reliability, scalability, and operational excellence.

• Prototype and iterate on ML pipelines to deliver minimum viable products aligned with architectural vision.

• Own key phases of the ML lifecycle: feature engineering, model scoring, validation, and operationalization for enterprise-scale applications.

• Integrate real-time inferencing and streaming technologies (Kafka, Kinesis) into ML workflows.

• Leverage SQL with business context for data extraction, transformation, and optimization across large datasets.

• Collaborate with ML Scientists, Data Engineers, and Software Engineers to productionize ML models and GenAI capabilities.

• Participate in code and design reviews, ensuring quality, maintainability, and scalability.

• Work closely with stakeholders to align technical solutions with product goals and communicate trade-offs effectively.

Minimum Qualifications:

• Master’s in Computer Science, Software Engineering, or related field (or equivalent experience).

• 2+ years of experience in data engineering and ML pipeline development.

• Proficiency in Python (primary) and Scala (secondary).

• Strong SQL skills with ability to apply business context.

• Experience with Spark, Hive, Databricks, and workflow orchestration tools (Airflow).

• Familiarity with cloud services (AWS preferred).

• Understanding of ML lifecycle, including traditional ML and GenAI tools.

• Exposure to streaming technologies (Kafka, Kinesis) and real-time inferencing.

• Experience working in Agile/Scrum environments.

Preferred Qualifications:

• Hands-on experience with production ML ops and deployment strategies.

• Strong communication skills and ability to align technical decisions with business objectives.

• Passion for learning and staying ahead in ML, GenAI, and data engineering trends.

Expedia Group is proud to offer a wide range of benefits to support employees and their families, including medical/dental/vision, paid time off, and an Employee Assistance Program. To fuel each employee’s passion for travel, we offer a wellness & travel reimbursement, travel discounts, and an International Airlines Travel Agent (IATAN) membership. View our full list of benefits.

Accommodation requests

If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request.

We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others.

Expedia Group's family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™. © 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

Employment opportunities and job offers at Expedia Group will always come from Expedia Group’s Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you’re confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is @expediagroup.com. The official website to find and apply for job openings at Expedia Group is careers.expediagroup.com/jobs.

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, religion, gender, sexual orientation, national origin, disability or age.