As a Data Engineer III with Expedia Engineering teams you will have the opportunity to leverage your technical expertise to design solutions that enrich the Data and Intelligent service Metric Enablement platform with new features and functionality to run the business.

This role goes beyond traditional data engineering and you will be designing, building, deploying, and operating data pipelines, embeddings workflows to power Agentic AI applications in production and will be expected to own architecture decisions, drive AI platform evolution, and ensure enterprise-grade reliability, governance, and scalability.

You will also have the opportunity to work alongside junior developers as a coach/mentor to them & work with Sr. Devs on various tech teams to come up with solutions.

In this role, you will :

- Design and develop, scalable cloud-native solutions that are scalable, responsive & resilient.

- Build scalable ingestion pipelines for structured and unstructured data (documents, logs, knowledge bases, transactional data)

- Design semantic layers and context-building strategies for LLM consumption

- Architect and build production-ready RAG systems (retrieval pipelines, embeddings, vector indexing, ranking strategies) and work with vector databases and retrieval systems

- Develop embedding pipelines and manage vector databases at scale

- Develop, test, own and deliver Sprint tasks and help drive the team forward

- Collaborate with teams and individuals to complete your team assignment on time, with quality

- Be a coach/mentor to junior developers on the team

- Work across multiple layers of the stack as the problem demands.

- Have a strong sense of ownership of all technical issues

- Identify risks, and issues & drive them to mitigation/resolution as required in the scope of your work

- Prototype ideas, execute and learn from them and enrich the overall team experience

Experience and Qualifications :

- 6+ years of development experience in an enterprise-level engineering environment increasing levels of technical expertise.

- 4+ years of hands-on backend Data Engineering application development experience with an excellent understanding of products with microservice architecture.

- Proven hands-on experience designing, building, and operating data pipelines that enable LLM-based agentic AI systems, including support for embeddings, retrieval layers, and orchestration workflows.

- Expert-level SQL and strong Python proficiency (Java is a plus)

- Experience with distributed processing frameworks (Spark, Databricks, Flink, etc.)

- Experience building data pipelines in cloud-native environments (AWS/GCP/Azure)

- Experience building scalable, fault-tolerant, observable systems

- Good knowledge of Data Structures and Algorithm.

- Strong understanding of data modeling and semantic layer design

- Understanding of embeddings, chunking strategies, retrieval optimization, and re-ranking