Data Engineer III

Expedia Group has a mission to become the world’s travel platform. As part of that effort, Expedia Group’s Data organization is building a common platform for all Expedia brands to capture and enrich data in order to power AI, data science, and programmatic platform.

The Data Engineer role will be part of the Marketing Data Engineering team in the Expedia Group Brands organization. Marketing Data Engineering will provide programmatic access to clean, fast, and authoritative marketing data sources for the entire company. We will create robust enriched data products at rest (attribute stores, periodic facts, aggregates) and refresh them intra-day to enable self-service analytics.

What you’ll do:

• Design, build, and support scalable and durable data solutions that can enable self-service consumption use cases using cloud-based technologies in an agile manner

• Support Expedia Group’s product and business teams’ specific data needs on a global scale

• Close partnership with internal partners from engineering, product, and business

• Write clean, efficient and thoroughly tested code

• Be part of an agile team that is continuously learning and improving

• Develop scalable and highly-performant distributed systems with everything this entails (availability, monitoring, resiliency)

• Work with our business partners to flesh out and deliver on requirements in an agile manner

• Evolve development standards and practices

• Take architectural ownership for various critical components and systems

• Proactive problem-solving at the organization level

• Communicate and document solutions and design decisions

• Build bridges between technical teams to enable valuable collaborations

• Promote good development methodologies via code reviews, great software design, brown bags or tech talks

• Provide support to both internal and external team members where necessary

• Evaluate and recommend tools, technologies and efficient processes

Who you are:

• Bachelor’s or Master's in Computer Science or in related field; or equivalent related professional experience

• Experience building data pipelines from multiple sources including APIs, CSV, event streams, NoSQL, etc. using distributed data frameworks

• Experience in batch and/or stream processing (using Spark) required

• Professional development experience in Java, Scala, or Python required

• Advanced SQL experience

• Experience with different aspects of data systems including database design, data modeling, performance optimization

• Understanding and experience in Kafka, Kubernetes, Spring, AWS, Hive, Docker a huge plus

• Strong communication skills (able to explain concepts to non-technical audiences as well as peers)

• Self-starter who is highly organized, communicative, quick learner, and team-oriented

#L1-NV1

The total cash range for this position in Austin is $137,500.00 to $192,500.00. Employees in this role have the potential to increase their pay up to $220,000.00, 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.

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.