Senior Data Engineer, KAYAK

• 5+ years of proven experience in data engineering or analytics engineering within a related data-centric environment
• Experience owning end-to-end data pipelines (ingest → transform → test → monitor)
• Strong SQL skills and familiarity with distributed/columnar/OLAP systems (examples: Redshift, Trino, Vertica) and relational databases (e.g., MySQL, Postgres)
• Proficiency in Python and a software-engineering approach to building testable, maintainable code
• Experience with workflow orchestration and containerization (examples: Airflow, Docker)
• Strong analytical and troubleshooting skills for investigating data issues
• Strong written and spoken English to communicate effectively across teams

Desirable

• We are looking for a Senior Data Engineer to join our Business Intelligence team
• Our team builds and operates the data backbone that serves as the single source of truth for the organization. We manage KAYAK’s business-critical reporting to support billing and provide the foundation for company-wide reporting and analytics
• If you want to build the systems that define how the business measures success, we’d love to hear from you
• Architect for scale: Develop and monitor robust data pipelines using Python, SQL, and Rundeck/Airflow that handle large-scale data volumes with high reliability
• Optimize performance: Design performant data models and optimize complex SQL queries for high-scale environments
• Ensure data reliability: build automated checks and alerts to catch errors early so financial and operational reports remain accurate
• Increase data access: automate repetitive tasks and build self-service tools to make data easier to use across teams
• Drive engineering excellence: experiment with and leverage AI-assisted coding tools to accelerate development cycles and enhance code quality
• Work with partners across the company: translate business questions into practical, maintainable technical solutions