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Backend Sotware Engineer - (Series B 45m) Physical Data Company

  • Location

    United States

  • Sector:

    Software Engineering

  • Job type:

    Remote

  • Salary:

    200,000 + Equity + Package

  • Contact:

    Bradley Smith

  • Contact email:

    bradley@intelletec.com

  • Job ref:

    BSSG01

  • Startdate:

    ASAP

BACKEND ENGINEER - 45M SERIES B FUNDED - PHYSICAL DATA COMPANY - REMOTE (US or Canada) 
Salary: Up to 200-220k  + Equity + Package 
 
We are looking for a Backend Engineer to join our clients growing team. This will be the very first developer hire dedicated to owning a greenfield real-time backend system to power our new experience in spotlighting, serving and purchasing data at a fast growing, early-stage startup. You'll work extensively with a cross-functional team of marketing, growth, and web designers to build out user experience for next generation products. 

 

About you:

  • Have attention to detail and bias for action
  • Are passionate about real-time big data architecture, care deeply about customer experience, looking to work in a fast-paced environment, focusing on hard problems where the solutions are often not predefined.
  • You're autonomous, work well remotely, and a world-class communicator

Requirements:

  • Minimum 3+ years of backend engineering work experience.
  • Proficiency in writing production-quality code, preferably in Java, Scala or Python.
  • Familiarity with all things building data products - schema design, modeling, optimization, scalability.
  • Deep understand of real-time system, responsive API design, scalability and performance tuning.
  • Excellent communication skills. 

Great-to-haves:

  • Experience with AWS.
  • Experience working with huge data sets.
  • Deep understanding of Apache Spark and distributed data systems - that allows you to solve production-scale problems.
  • Experience with open source development.
     

About the Company: 

  • Their goal is to be the dominant place to get any data on a physical Place. 
  • They sell their product - their datasets - to data scientists and machine learning engineers at companies of all sizes.
  • They have demonstrated a measured approach to build a long term company, turning profitable in 2019 they have hired experienced leadership from the start and care deeply about democratizing access to data to everyone.
  • Currently they have circa 70 employees and are growing quickly recently raising a $45 million Series B ($65 million raised to date), and the CEO previously launched a successful IPO.
  • Awesome benefits, including health, dental & vision insurance coverage, a 401k, work-from-home stipend, mental health benefits, and much more