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About the Role

As a Data Engineer on the Partner Data Team, you will lead projects, design, and build scalable, reliable data services and pipelines leveraging AI tools and technologies. You will combine strong software engineering fundamentals with data engineering and AI skills to deliver secure, high-quality data products on modern cloud infrastructure.

Responsibilities

• Own and evolve complex, business-critical data products end to end — from technical design and implementation through deployment, monitoring, and day-to-day production support.
• Apply modern engineering practices and use AI as a co-pilot across the software development lifecycle.
• Collaborate with partners across engineering, product, data, and business functions.
• Design and integrate services, APIs, and data models so that high-quality data and capabilities are easily consumable by both human users and AI systems.
• Share knowledge and mentor others, especially earlier-career engineers, through code reviews, pairing, and design discussions.

Requirements

• Bachelor’s degree in computer science or a related technical field; or Equivalent related professional experience
• 5+ years of relevant professional experience
• Experience with owning data products, with demonstrated impact within a domain or product
• Proven experience delivering at least one significant end to end service or product within a product or domain using AI tools(like Claude, Codex, copilot).
• Proficiency in at least one modern programming language (like Java, Scala) and strong computer science fundamentals (data structures, algorithms, object-oriented or functional design), with hands-on experience in system design (LLD), API design, and data modeling.
• Experience working with data pipelines, batch and stream, including building, consuming, and evolving them.
• Experience designing and building reliable, scalable systems on cloud platforms.
• Strong proficiency using AI tools and techniques as part of everyday software engineering work.
• Experience developing frameworks for AI-driven coding agents, including MCP and spec-driven development methodologies.
• Experience defining and enforcing AI governance practices to ensure responsible, secure, and compliant AI system development.
• Experience with big data technologies like Spark, Kafka, Flink and no-SQL data stores like Cassandra, Scylla and Iceberg.
• Demonstrated ability to collaborate and influence across disciplines.
• Track record of leading technical workstreams that simplify components or services, improve performance or reliability, or increase developer productivity.

Skills

• AI tools
• Software engineering
• Data engineering
• Java
• Scala
• Data structures
• Algorithms
• Object-oriented design
• Functional design
• System design (LLD)
• API design
• Data modeling
• Data pipelines (batch and stream)
• Cloud platforms
• Big data technologies (Spark, Kafka, Flink)
• No-SQL data stores (Cassandra, Scylla, Iceberg)

Location

• Austin

Work Type

• Full-time

Experience Level

• 5+ years of relevant professional experience

Education Level

• Bachelor’s degree in computer science or a related technical field; or Equivalent related professional experience

Salary/Compensations

• $146,000.00 - $204,500.00
• Potential to increase pay up to $233,500.00 based on performance.

Benefits

• Medical, dental, and vision coverage
• Paid time off
• Employee Assistance Program
• Wellness and travel reimbursement
• Travel discounts
• International Airlines Travel Agent Network (IATAN) membership

About the Company

• Expedia Group helps travelers explore the world, one journey at a time.
• Expedia Group is a global travel company powered by passionate people, trusted partnerships, and leading technology.
• Expedia Group connects travelers, partners, and advertisers through its consumer brands, B2B network, and travel advertising business.
• Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.

Equal Opportunity

• 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, veteran status, or any other characteristic protected by law.
• 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.