Data Engineer II - Job Opportunity at Expedia Group
USD 112,000 - 179,000 per year
Benefits
Comprehensive travel benefits package with exclusive perks
Flexible PTO and parental leave policy
Global hybrid work arrangement
Career development resources and training
Full health and wellness benefits package
Modern office facilities
Key Responsibilities
Design and implement scalable data solutions for self-service consumption using cloud technologies
Develop large-scale real-time data pipelines and microservices on AWS
Create and maintain technical documentation and drive continuous improvement
Lead small projects while supporting complex initiatives
Collaborate with distributed teams across global locations
Ensure code quality through thorough testing and reviews
Requirements
Education
Bachelor's or master's degree in technical field or equivalent experience
Experience
2+ years
Required Skills
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Sauge AI Market Intelligence
Industry Trends
Salary Evaluation
The offered salary range is competitive for Seattle's market, sitting slightly above median for similar roles. The wide range (112k-179k) suggests strong emphasis on performance-based growth
Role Significance
Likely part of a 6-8 person cross-functional team within the Customer Data Platform division
Mid-level position with significant technical ownership and project leadership opportunities
Key Projects
Success Factors
Market Demand
Very high demand, particularly in the travel tech sector where data engineering expertise intersects with customer experience platforms
Important Skills
Critical Skills
Beneficial Skills
Unique Aspects
Opportunity to work on a premier CDP in the travel industry
Access to massive scale of data across multiple major travel brands
Strong focus on real-time processing and personalization
Global reach and impact of solutions
Career Growth
Typical progression to senior level within 2-3 years based on performance and project impact
Potential Next Roles
Company Overview
Expedia Group
Expedia Group is a global travel technology leader operating multiple major brands and platforms
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Data Sources & Analysis Information
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