Expedia Group is hiring for the position of Data Engineer I in Seattle, Washington. This is an exciting opportunity for recent graduates or early-career engineers (0–2 years of experience) looking to build impactful data pipelines, work with real-time and batch processing technologies, and contribute to travel-focused advertising innovations. If you’re eager to work in a high-scale environment that powers global travel experiences, explore the details and apply below.
UP Next: NetApp is hiring for Software Engineer.
- Company: Expedia Group
- Website: careers.expediagroup.com
- Job Position: Data Engineer I
- Location: Seattle, Washington
- Job Type: Full-Time
- Experience: 0–2 years
- Qualification: Bachelor’s degree or equivalent experience (technical degree preferred)
- Salary: $87,500 – $122,500 (up to $140,000 based on performance)
- Job ID: R-96645
Job Description
Expedia Group’s Advertising division is seeking a motivated and technically sound Data Engineer I to support advertiser reporting systems across real-time and batch data platforms. This position is perfect for early-career professionals excited to learn, contribute, and grow in a collaborative, global travel-tech environment. You’ll help design scalable data pipelines and ensure smooth integration of systems that enhance user experiences on Expedia Group sites.
Responsibilities
- Build and maintain scalable real-time and batch data pipelines for advertising and analytics.
- Collaborate with cross-functional teams to solve business challenges using data.
- Develop clean, modular, maintainable, and well-documented code.
- Assist in testing, debugging, and optimizing data engineering tasks.
- Contribute to the design and deployment of data-driven solutions.
- Work on integration, automation, and monitoring of data workflows.
- Participate in technical discussions, challenge the status quo, and innovate continuously.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, or equivalent field.
- Built at least 3 software projects independently.
- Basic to moderate skills in Scala, Spark, SQL, or Python.
- Understanding of data storage patterns, software design principles, and debugging.
- Interest in distributed systems, advertising data, and performance analytics.
- Strong communication, collaboration, and reporting skills.
Preferred Skills
- Exposure to data monitoring, quality validation, and cloud platforms.
- Understanding of data warehousing and basic system integration processes.
Benefits
- Full benefits package including health, vision, and dental coverage
- Exciting travel perks and discounts
- Generous time-off and flexible work arrangements
- Parental leave, cool offices, and employee development resources
