Data Engineer III

The total cash range for this position in Madrid is €55,500.00 to €78,000.00. Employees in this role have the potential to increase their pay up to €89,000.00, 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 offers benefits and perks designed to support employees and their families, including medical, dental, and vision coverage, paid time off, an Employee Assistance Program, wellness and travel reimbursement, travel discounts, and International Airlines Travel Agent Network (IATAN) membership. Learn more about life at Expedia Group at https://careers.expediagroup.com/life.

You can find the benefits for this location and any collective agreement that may apply here.

At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.

Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.

The B2B organization builds technology and data solutions that support Expedia Group's business partners and enable reliable, scalable travel experiences. Our teams collaborate across engineering, product, and business functions to solve complex problems and deliver meaningful outcomes.

As a Data Engineer III, you will apply advanced data engineering principles to improve existing systems, lead complex projects, mentor junior engineers, and develop highly available solutions for processing large datasets.

• Design, develop, test, and maintain batch and real-time data pipelines, including complex or non-routine software that meets design requirements.
• Build and operate highly available, distributed systems for data extraction, ingestion, processing, movement, storage, and access, internal and external to the business unit.
• Apply software design principles, object-oriented design, data structures, algorithms, and distributed computing concepts, leveraging software frameworks to write simpler code.
• Work with large-scale datasets and complex data access patterns.
• Develop software using languages such as Java, Python, Scala, and Spark.
• Apply data modeling, schema design, data validation, testing, monitoring, alerting, and performance-tuning practices.
• Apply EG reference patterns and technology choices, and recommend alternative architectures, technologies, and programming languages where they fit better.
• Design software that is modular, maintainable, testable, observable, and cost-efficient.
• Monitor, troubleshoot, debug, and resolve production issues within established service-level agreements.
• Lead code reviews and help guide the evolution of technical solutions.
• Coordinate stakeholders with varied perspectives, contribute your own suggestions, and collaborate across the organization to understand dependencies and solve shared problems.
• Mentor junior engineers and participate in communities of practice.
• Identify opportunities to improve policies, processes, system efficiency, and operational practices across organizational boundaries.