招聘
Benefits & Perks
•Healthcare
•Parental Leave
•Remote Work
•Flexible Hours
•Learning Budget
•Healthcare
•Parental Leave
•Remote Work
•Flexible Hours
•Learning
Required Skills
Python
Java
Scala
SQL
Apache Spark
Apache Kafka
Airflow
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.
Our Metasearch team focuses on building and maintaining high-quality data integrations with key partners like Google, Trivago, and Trip Advisor. We empower teams in Machine Learning Science and Channel Management with timely, accurate datasets that drive automated, data-informed decision-making at scale.
What you'll do
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Design, build, and maintain production-grade batch and streaming data pipelines that support business-critical use cases in marketing, advertising, and experimentation.
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Implement scalable data processing solutions in public or hybrid cloud environments, applying sound software engineering principles and modern data patterns.
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Collaborate with product managers, analysts, and data scientists to translate business requirements into technical solutions, ensuring data quality, reliability, and observability.
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Write clean, modular, and testable code using languages such as Python, Scala, or Java, with attention to maintainability and performance.
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Contribute to team-owned data products that serve downstream consumers across analytics, reporting, and machine learning platforms.
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Debug and resolve data quality issues, bottlenecks, and performance constraints in complex systems.
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Proactively identify areas for technical and process improvements, contributing to the team’s agile development practices and continuous delivery culture.
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Participate in peer reviews, knowledge-sharing, and team retrospectives to support ongoing team growth and collaboration.
Who you are
-
You have 5**+ years of hands-on experience** in data engineering with a Bachelor's degree in a technical field (or equivalent experience); or 3+ years with a Master's.
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You have built and maintained at least one data pipeline or data product in a production environment, ideally in cloud infrastructure (e.g., AWS, GCP, Azure).
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You are proficient in at least one programming language relevant to data engineering (e.g., Python, Java, or Scala), and familiar with data processing tools such as Apache Spark, Kafka, or Airflow.
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You understand batch vs. streaming processing and are familiar with modern data architectures, distributed systems, and data access patterns.
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You’re experienced with AdvancedSQL and working with both traditional RDBMS and distributed data storage systems.
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You value testing, monitoring, and alerting as core parts of building reliable systems.
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You’re comfortable working in an agile, collaborative team environment, and can clearly communicate trade-offs and design decisions to technical and non-technical stakeholders.
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You bring business acumen, curiosity, and a drive to solve real-world data challenges that deliver measurable value.
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®, Cheap Tickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, Car Rentals.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.
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About Expedia Group
Reviews
3.8
9 reviews
Work Life Balance
4.2
Compensation
3.5
Culture
4.1
Career
4.0
Management
3.4
75%
Recommend to a Friend
Pros
Supportive work environment and colleagues
Good work-life balance
Great benefits and perks
Cons
Poor management and leadership issues
Compensation below market rate
Organizational chaos from acquisitions
Interview Experience
7 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Final Round
2
Coding Assessment
3
Tech Round
4
HackerRank Round
5
Digital Interview
6
Final Interview
Common Questions
Technical coding problems
System design
Behavioral questions
Algorithm implementation
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