Data Analytics Engineer, Data Analytics & Infrastructure (remote EST)

Stamford, Connecticut, United States of America

Applications have closed

KAYAK

KAYAK searches hundreds of other travel sites at once to find the information you need to make the right decisions on flights, hotels & rental cars.

View company page

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, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com.

As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.

In this role, you will:

  • Oversee data quality, data accuracy and timeliness of business reporting systems.
  • Participate in cloud migration and modernizing current data systems.
  • Maintain and design early warning and analytics systems using innovative cloud data technologies.
  • Collaborate on building software that collects and queries data, while also composing queries for investigation purposes.
  • Diagnose and solve any issues within data infrastructure.
  • Effectively collaborate and engage in team efforts, working multi-functionally across the organization.

Please apply if:

  • Bachelor of Computer Science, Engineering
  • 5+ years of work experience in Software Engineering and development.
  • Expert knowledge in data modeling
  • Solid experience with cloud/distributed data transformation technologies. (GCP/AWS)
  • Strong knowledge of databases – Relational/No-SQL/Document
  • Experience with Data Visualization tools - Tableau/Power BI/Looker
  • Proficient in Python or Object-oriented programming
  • Experience with designing and leading distributed data management and analytics infrastructure.

Benefits

  • Generous paid vacation
  • Day off on your birthday
  • Company matched retirement plans
  • Health, dental and vision insurance plans
  • Flexible Spending Accounts
  • Headspace Subscription
  • Drinks, coffee, snacks, games etc.
  • Weekly Catered Lunches
  • Free massages from professional massage therapists
  • Universal Paid Parental Leave

Note for Connecticut Residents: To receive estimated salary range information for this role pursuant to Connecticut's "An Act Concerning the Disclosure of Salary Range for a Vacant Position", email CTCareers@kayak.com. You must include the name of the position in your request.

Diversity and Inclusion

We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer, and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.

We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

#LI-MM1

#LI-Remote

“Remote work allowed”

Tags: AWS Computer Science Data Analytics Data management Data visualization Engineering GCP Looker OOP Power BI Python SQL Tableau

Perks/benefits: Flex hours Flex vacation Health care Lunch / meals Parental leave

Regions: Remote/Anywhere North America
Country: United States
Job stats:  8  2  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.