채용
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.
Introduction to the team
Expedia Group has a mission to become the world’s travel platform. As part of that effort, Expedia Group’s Data organization is building a unified platform for all Expedia brands to capture, enrich, and leverage data for AI, data science, and programmatic applications.
As a Software Development Engineer III, you will join the Marketing Data Engineering team within the Expedia Group Marketing organization. This team focuses on building a next-gen analytics platform – a consolidated suite of products designed to facilitate experimentation analysis, campaign performance measurement, incentive forecasting, and scenario planning.
In this role, you will:
- Design, build, and support scalable, reliable and durable data solutions to support self-service consumption, leveraging cloud-based technologies
- Support Expedia Group’s product and business teams’ specific data needs on a global scale
- Collaborate closely with teams across engineering, product, and business functions
- You will be encouraged to propose improvements to designs and processes; actively participate as a key team member in all agile ceremonies, code and design reviews
- Apply software design principles, data structures and/or design patterns and computer science fundamentals to write code that is clean, maintainable, optimized, modular with good naming conventions
- Recommend and apply architectural patterns or GenAI capabilities to improve system design and innovation
- Enhance service reliability through observability, automation, and continuous operational improvements
- Participate in on-call support of team’s services through Pager Duty rotation
Minimum qualifications:
- 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.
- Experience building data pipelines or data products in a production environment, ideally in cloud infrastructure (e.g., AWS, GCP, Azure).
- Proficiency 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.
- Experienced in batch & streaming processing and modern data architectures, distributed systems, and data access patterns.
- Experienced with Advanced SQL and working with both traditional RDBMS and distributed data storage systems.
- Experience building front-end and/or backend services, with a strong understanding of APIs as products.
- Strong communication skills and the ability to work with product partners to clarify and refine functional requirements.
Preferred qualifications:
- Languages: Java, Scala, Python
- Frameworks: Apache Spark, Spring, FastAPI
- Database: SQL, NoSQL, and Distributed storage (e.g., Iceberg, Hive, Parquet, Avro)
- Protocols: RESTful/Open API web services, GraphQL and gRPC
- Infrastructure: EC2 (compute), S3 (storage), Kubernetes and Docker
- Generative AI: Prompt Engineering, Retrieval-Augmented Generation (RAG), Agentic AI
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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Expedia Group 소개

Expedia Group
PublicExpedia Group, Inc. is an American travel technology company that owns and operates travel fare aggregators and travel metasearch engines, including Expedia, Hotels.com, Vrbo, Travelocity, Hotwire.com, Orbitz, Ebookers, CheapTickets, CarRentals.com, Expedia Cruises, Wotif, and Trivago.
10,001+
직원 수
Seattle
본사 위치
$6.8B
기업 가치
리뷰
3.8
9개 리뷰
워라밸
4.2
보상
3.5
문화
4.1
커리어
4.0
경영진
3.4
75%
친구에게 추천
장점
Supportive work environment and colleagues
Good work-life balance
Great benefits and perks
단점
Poor management and leadership issues
Compensation below market rate
Organizational chaos from acquisitions
연봉 정보
1개 데이터
Intern
Intern · Machine Learning Scientist Intern
1개 리포트
-
총 연봉
기본급
-
주식
-
보너스
-
면접 경험
6개 면접
난이도
2.8
/ 5
소요 기간
14-28주
면접 과정
1
Application Review
2
Recruiter Screen
3
Technical/Coding Assessment
4
Final Interview
5
Offer Decision
자주 나오는 질문
Coding/Algorithm
Technical Knowledge
Behavioral/STAR
Past Experience
Culture Fit
뉴스 & 버즈
Expedia Group Inc. stock (US30212P3038): Is its travel recovery momentum strong enough for new inves - AD HOC NEWS
AD HOC NEWS
News
·
4d ago
KBC Group NV Acquires 3,810 Shares of Expedia Group, Inc. $EXPE - MarketBeat
MarketBeat
News
·
4d ago
Expedia Group, Inc. (NASDAQ:EXPE) Receives Average Rating of "Hold" from Analysts - MarketBeat
MarketBeat
News
·
4d ago
Expedia Group shutters Lastminute.com.au booking site - PhocusWire
PhocusWire
News
·
4d ago