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Distributed Application Engineer at Cask
Palo Alto, CA, US
Are you a developer who thrives on building great technology and new things? Do you want to see your code have a direct impact on the bottom line? Do you have an idea for a big data application that will change the world? Then we want you to join us at Cask! Our distributed big data platform provides unprecedented visibility, predictability and ROI for enterprise Hadoop clusters. As a Distributed Application Engineer, you will put yourself in the customer's shoes and build fully functional full stack distributed applications using the latest Big Data technologies including Hadoop, Spark, Kafka and many others. You will get the chance to leverage predictive analytics to solve real world problems in a fast-paced startup environment.


Architect full end-to-end solutions applying abstract technical concepts to solve real world problems.
Work directly with customers to solve their specific use-cases for Finance, IoT, Healthcare and many others.
Engage directly with the developer community through conferences, blogs, hackathons, etc.
Actively participate in a highly collaborative Agile development process.

B.S. or M.S. in computer science or a related field, with academic knowledge of computer science (algorithms, data structures, etc.)
3+ years experience in software engineering
Experience with Hadoop stack or building applications on Hadoop
Experience in Unix/Linux environment and with multiple programming languages, such as Java, Scala, Python or JavaScript
Ability to switch context quickly throughout the day with numerous competing demands
Strong aptitude for learning new technologies and understanding how to use them
Creative approach to problem solving
Self-driven with strong communication and collaboration skills
Willingness to travel up to 25%
Cask is an open source big data software company focused on developers. Cask's flagship offering, the Cask Data Application Platform, makes it possible to quickly and easily develop and deploy more powerful applications for Hadoop. Based in Palo Alto, CA, the company is backed by leading investors including Battery Ventures, Ignition Partners, Andreessen Horowitz and Safeguard Scientifics. Learn more at

All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, age, protected veteran status, or on the basis of disability.