Senior Data Engineer

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.

Responsibilities

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

Requirements

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

Nice to have

Stream processing or real-time systems (e.g., Kafka, Flink); Modern BI tooling (e.g., Looker, Superset); CI/CD and deployment automation (e.g., GitHub Actions); Web frameworks for internal tools (e.g., Django, Flask)

Benefits

Work from (almost) anywhere for up to 20 days per year; Company-paid therapy sessions through SpringHealth; Company-paid subscription to HeadSpace; Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!); No meeting Fridays; Paid parental leave; Generous paid vacation + time off for your birthday; Paid volunteer time; Development Dollars; Leadership development; Access to thousands of on-demand e-learnings; Travel Discounts; Employee Resource Groups; Competitive retirement and health plans; Free lunch 2 days per week; Fun quarterly events such as boat trips, arcades, ski trips, Thursday happy hours, and more; Health benefits; Flexible spending account; Retirement benefits; Life insurance; Paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); Parental leave benefits