ETL Engineer

KAYAK • Cambridge, MA

11d • $115,000 - $120,000 • Hybrid

About The Position

KAYAK, part of Booking Holdings, is a leading travel search engine that helps people find their perfect flight, stay, rental car, and vacation package. They are also transforming business travel with KAYAK for Business. As an employee of KAYAK, you will be part of a global metasearch brand portfolio. Innovation is central to their DNA, and employees have opportunities to make an impact. The company's focus is on building the best travel search engine to simplify world exploration. They are seeking a Data Engineer with a strong background in building data pipelines and a collaborative approach to join their Marketing Data Engineering team. This role is ideal for someone who thrives in a fast-paced environment, enjoys cross-functional work, and is open to innovations like AI coding assistants.

Requirements

• 3+ 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
• annual bonus
• recurring RSU grants

What This Job Offers

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