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As a Senior ETL Engineer at KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands. You will design, build, and maintain high-performance ETL pipelines and orchestration workflows, write clean, modular Python code, and support partners by developing dashboards and visualizations. You will partner closely with marketing analysts, engineers, and data scientists to define and deliver data needs.
Job Responsibility:
Design, build, and maintain high-performance ETL pipelines and orchestration workflows
write clean, modular Python code to transform, parse, clean, and enrich large datasets
support partners 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
Requirements:
6+ years of professional experience in data engineering
proficient in SQL and Python
experience with AI coding tools
understanding of modern data architecture
experience with Airflow pipelines
ability to estimate project scope, manage timelines, and deliver reliably
Nice to have:
experience with AI coding tools
solution-oriented and driven by curiosity
adaptability to change and innovation
ability to thrive in an international, fast-paced, and feedback-driven environment
What we offer:
Work from (almost) anywhere for up to 20 days per year
company-paid therapy sessions through SpringHealth
company-paid subscription to HeadSpace
company-wide week off a year
no meeting Fridays
paid parental leave
generous paid vacation + time off for your birthday
paid volunteer time
development dollars
leadership development
access to thousands of on-demand e-learnings
travel discounts
employee resource groups
6 weeks paid vacation
free lunch 2 days per week
pension plan contributions
public transportation subsidies
bike leasing program
monthly social events, massages, Thursday happy hours, sports teams
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