Data Engineer II

Job Overview

We are looking for a Data Engineer II to join our Commerce Data Engineering team, which is building data for use in real-time programmatic and batch use cases enabling product and business teams to achieve faster and bigger results! Join us as we consume a variety of data, consolidate that information and making it available, understandable and extensible for several business and product teams in the company. Success in this role comes from combining programming with data manipulation to provide data access patterns like batch and APIs to deliver scalable technical solutions that enable broad consumption and usage at Expedia Group.

The Data Engineer II will be responsible for building the data pipeline, storage patterns, and access methods for the Commerce Data used across the entire company. This will involve coding in several languages, using streaming technologies, working with multiple data storage platforms, and delivering information via multiple access patterns such as at rest for analytics and programmatically through APIs.

What you’ll do:

Actively participate with our development team in all phases of the software development lifecycle, including requirements gathering, functional and technical design, development, testing and roll-out, and support

Write automated unit, integration, and acceptance tests to support our continuous integration pipelines

Build performance and load tests written from scalability and resiliency standpoint

Collaborate with and learn from all members and levels of our team

Participate in peer code reviews

Interact with technical and non-technical leaders and partners to collect feedback and present results

Who you are:

Bachelor’s or Master’s Degree in Computer Science or Engineering or related field; or equivalent related professional experience

2+ years developing data and software solutions

1+ years of experience in Java

1+ years of experience in building data pipelines in the cloud with tools like S3, Hadoop, Hive; working with Petabytes of data

1+ years of experience in Java and streaming technology such as Kafka

Enthusiastically seek out solutions for data engineering problems

Focused developer with a strong sense of ownership

Ability to drive individual tasks to completion and production deployment

Capable of working closely with team members to ensure data solutions are well built and of high quality

Experience in classic and NoSQL databases system such as SQL Server, Elasticsearch, Cassandra

Experience with of all aspects of data systems including database design, ETL, aggregation strategy, performance optimization

Experience working with various tools, processes, and languages like Spark, Scala, Airflow, Splunk, Datadog, Docker, Jenkins

About Expedia Group

Expedia Group (NASDAQ: EXPE) powers travel for everyone, everywhere through our global platform. Driven by the core belief that travel is a force for good, we help people experience the world in new ways and build lasting connections. We provide industry-leading technology solutions to fuel partner growth and success, while facilitating memorable experiences for travelers. Expedia Group’s family of brands includes: Brand Expedia®, Hotels.com®, Expedia® Partner Solutions, Vrbo®, Egencia®, trivago®, Orbitz®, Travelocity®, Hotwire®, Wotif®, ebookers®, CheapTickets®, Expedia Group™ Media Solutions, Expedia Local Expert®, CarRentals.com™, and Expedia Cruises™.

© 2021 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: 2029030-50

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, or veteran status. 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.

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