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Senior Data Engineer, Customer Data Platform

Expedia Group
United Statesfull_timeVerifiedPosted 3 Apr 2024
💰 $277,000/yr($173,000/yr$277,000/yr)

About the role

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Senior Data Engineer, Customer Data Platform


The Customer Data Platform team at Expedia Group is looking for a proven, entrepreneurial, hands-on technical leader who will define and implement the technical vision for our next generation of traveler data products that will power EG’s hyper personalized traveler experiences.

The Customer Data Platform team at Expedia Group is looking for a proven, entrepreneurial, hands-on technical leader who will define and implement the technical vision for our next generation of traveler data products that will power EG’s hyper personalized traveler experiences.

What you'll do

  • Work with business and product leaders to understand their objectives, and provide technical strategies and solutions to support their goals.

  • Define and own the technical vision and roadmap for a group of data products

  • Build traveler data products that form the foundation of personalization efforts at EG across user acquisition, marketing communications, in-app experiences, and customer support.

  • Champion and exemplify an engineering culture of customer focus, engineering excellence, and continuous learning and improvement.

  • Lead from the front. Build data products and pipelines using batch, streaming, and API technologies.

Who you are:

  • A data-focused engineer with a full stack perspective and deep expertise in data architecture, big data technologies, and data product development

  • A hands-on technical leader who can exemplify engineering excellence in every phase of the SDLC

  • An entrepreneurial engineer who thrives in ambiguity, synthesizes clear technical visions, has a bias for action, and works effectively across every level and function of the technology-driven organization.

  • 7+ years of work experience in software engineering

  • 3+ years’ experience in designing and implementing Big Data applications (data ingestion, real-time data processing and batch analytics) in Big Data, Spark Streaming, Kafka, Hadoop, Map Reduce, Hive

  • An expert in SQL (T-SQL/PL-SQL), ETL and data modelling

  • Server-side programming skills in multiple languages (Scala/Java and Python)

  • Has delivered successful solution using microservice architecture, OOAD and design patterns

  • Highly proficient with cloud computing platforms (AWS, EMR, Kubernetes, Docker)

  • Proficient with workflow management tools (e.g. Airflow)

  • A skilled practitioner of Agile/Scrum methodologies

  • Familiar with the e-commerce or travel industry

The total cash range for this position in Seattle is $173,000.00 to $242,500.00. Employees in this role have the potential to increase their pay up to $277,000.00, which is the top of the range, based on ongoing, demonstrated, and sustained performance in the role.

Starting pay for this role will vary based on multiple factors, including location, available budget, and an individual’s knowledge, skills, and experience.  Pay ranges may be modified in the future.

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

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®, trivago®, Orbitz®, Travelocity®, Hotwi

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Company

Expedia Group

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