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Data Engineer

Location: Miami, FL
Date Posted: 05-02-2017
Company Overview:
Nearpod is an award-winning education technology company focused on developing digital learning tools, virtual reality and interactive content across mobile devices that provides teachers an easy and efficient way to leverage technology in the classroom by creating learning experiences that engage and inspire students.

Since its launch in 2012 Nearpod has become a leader (& teacher favorite) in teaching and learning with technology. Nearpod currently reaches ~5M students monthly. In 2016 it was named one of Inc. 500’s fastest growing private companies and was featured in the Wall Street JournalFortune and local news channels across the country.

Nearpod has offices in Miami, Florida and San Francisco, California and is backed by notable investors like Insight Venture Partners, Reach Capital, Storm Ventures, the Stanford StartX Fund, the Knight Enterprise Fund, Arsenal Ventures, as well as Marc Benioff (the CEO of Salesforce) and Scott Cook (founder and Chairman of Intuit) and his wife, Signe Ostby.


Position Overview:
Data is a central part of decision making for all of our teams at Nearpod. Our data systems allow us to track performance, validate hypotheses, and make sure we are effectively serving educators and students. We are looking for a Data Engineer in our Miami office to execute the back-end development of internal reports and monitor the structure of data collection and warehousing. The ideal candidate is a self-starting, analytical, individual with strong technical and problem-solving skills.
 
Role and Responsibilities:
  • Write database queries for internal reports and dashboards
  • Work closely with engineers to optimize the performance and structure of Nearpod’s data warehousing and collection
  • Communicate data in an easy-to-read and actionable format to audiences of all levels
  • Meet with PMs and analysts to identify data needs and work together to build scalable reports and dashboards in Tableau, Google Analytics and Salesforce.com
 
Qualifications:
  • At least 2-4 years experience in data engineering required
  • Bachelor's degree in Math, Computer Science, Engineering or related field
  • Proficient with relational databases and SQL
  • Proficient with SSIS, SSAS, SSRS technologies from Microsoft Experience with
  • Experience with reporting and data visualization tools (Tableau or Mixed Panel experience preferred)
  • Experience with Python, C/C++ Java, or Perl is preferred
  • Excellent written and verbal communication skills
  • Fluency in Spanish is a plus but not required


We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

 
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