Data Engineer

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.

This role will be required to work from our Concord, MA office 3 days per week.

In this role, you will:

• 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.

• 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.

We welcome diverse technical backgrounds. Nice-to-have experience:

• 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).

• Work from (almost) anywhere for up to 20 days per year
• Focus on mental health and well-being:
• 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
• Focus on your career growth:
• 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, There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this United States located role is $130,000 - 160,000.00, not inclusive of annual bonus or recurring RSU grants.

We offer a competitive base salary and benefits including: 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); and parental leave benefits.