ETL Engineer

KAYAK • Cambridge, MA

2d • Hybrid

About The Position

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is a leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We’re also transforming business travel with a new corporate travel solution, KAYAK for Business.
As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheapflights and HotelsCombined, among others. From start-up to industry leader, innovation is in our DNA and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.
We’re looking for a Data Engineer with a solid foundation in building robust data pipelines and a collaborative mindset to join our Marketing Data Engineering team. If you thrive in a fast-paced environment, enjoy working cross-functionally, and are eager to embrace change (especially innovations like AI coding assistants), this could be your next adventure!
This role is required to work from our Cambridge, MA office 3 days per week.

Requirements

• 6+ years of professional experience in data engineering
• Proficiency in SQL and Python, and know how to write scalable, maintainable code
• Experience working with AI coding tools and are excited about how they’re shaping the future of development
• Understanding modern data architecture from ingestion to transformation to delivery
• Built and operated Airflow pipelines (or something similar)
• Comfort estimating project scope, managing timelines, and delivering reliably
• Excellent collaboration and communication skills, comfortable working with technical and non-technical peers
• A solution-oriented mentality, driven by curiosity
• Welcomed change and innovation, and you’re quick to adapt your tools and practices
• Thrived in an international, fast-paced, and feedback-driven environment

Responsibilities

• Design, build, and maintain high-performance data pipelines and orchestration workflows
• Write clean, modular Python code to transform, parse, clean, and enrich large datasets
• Support stakeholders by developing dashboards and visualizations
• Partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs
• Actively participate in agile ceremonies, code reviews, and planning discussions
• Experiment with and use AI coding tools to boost productivity and code quality

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed