Senior Data Engineer

Who you are

• 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
• 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)

What the job involves

• 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

Benefits

• Work flexibly: Our global flexible work policy lets our teams decide if they head into one of our offices or work from anywhere else
• Team-wide time off: Most of our team disconnects at the same time each year to recharge and reconnect
• Global volunteer week: Take VTO (Volunteer Time Off) to support the organizations and charitable efforts you believe in
• Wellness: We take care of each other - providing opportunities and spaces to live that work-life balance
• Resource groups: Our five ERGs are employee-led groups for underrepresented communities and their allies
• Career growth: We provide opportunities for our team to develop their skills – or learn new ones – on their own terms