Sr. Data Engineer 
Be part of an innovative team working to create a community of IT people around real data and product knowledge in the enterprise space. Peerlyst is an engineering oriented company, seeking to change the way IT professionals make their purchsing decisions, and disrupt the traditional paid research / vendor driven model. Peerlyst already has a ton of useful data and cutting edge Machine learning and NLP technologies. We are looking for highly motivated, bright, fast pace people to join our engineering team and take our technology to the next level with continuos crawl and much much mroe data. If you like data, analytics, and everything between them, you've come to the right place. In this position, you will architect, design and develop infrastructure to support large-scale web crawling and text analysis application. You will manage scaling of cloud infrastructure as new vertical market services come online, and replicate infastructure across markets. You will create valuable insights from a ton of data. 
Title: Sr. Data Engineer 
Salary: 80000-110000
Description: Be part of an innovative team working to create a community of IT people around real data and product knowledge in the enterprise space. Peerlyst is an engineering oriented company, seeking to change the way IT professionals make their purchsing decisions, and disrupt the traditional paid research / vendor driven model. Peerlyst already has a ton of useful data and cutting edge Machine learning and NLP technologies. We are looking for highly motivated, bright, fast pace people to join our engineering team and take our technology to the next level with continuos crawl and much much mroe data. If you like data, analytics, and everything between them, you've come to the right place. In this position, you will architect, design and develop infrastructure to support large-scale web crawling and text analysis application. You will manage scaling of cloud infrastructure as new vertical market services come online, and replicate infastructure across markets. You will create valuable insights from a ton of data. 
Requirements: Associate experience, Unspecified education
Fraudulent: No