Data Engineer

KAYAK Software Corporation • Cambridge, MA

25d

About The Position

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s 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!

Requirements

• 6+ years of professional experience in data engineering
• Proficient in SQL and Python, and know how to write scalable, maintainable code
• Worked with AI coding tools and are excited about how they’re shaping the future of development
• Understand modern data architecture from ingestion to transformation to delivery
• Built and operated Airflow pipelines (or something similar)
• You’re comfortable estimating project scope, managing timelines, and delivering reliably

Nice To Haves

• Excellent collaborator and communicator, comfortable working with technical and non-technical peers
• Solution-oriented and driven by curiosity
• Welcome change and innovation, and you’re quick to adapt your tools and practices
• Thrive 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
• This role is eligible to be considered for an annual bonus.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees