DAT-006  Software Engineer, Data


Our Client is the fastest-growing Proptech company in the history of commercial real estate (CRE) who are transforming a $15 trillion dollar industry with their award-winning platform which is used to manage over 60% of all office buildings.


Headquarters are in NYC, with hubs in other major US cities, Toronto, CA, and London, UK.



  • As part of the engineering team you’ll be a key contributor to our goal of accelerating the way space providers and occupiers plan, market, lease and manage space. As such, you will:
  • Help design and build  next-generation APIs that will seamlessly integrate into our customer’s ecosystems

  • Move from a tightly-coupled data model to well-encapsulated sources-of-truth

  • Ensure our data sets are complete, unique, timely, valid, accurate, consistent, and easy to consume

  • Work closely with engineers, product managers, designers, QA, and other business partners to discover and solve challenges for our customers

  • Collaborate with other full-stack teams to incrementally craft high quality products for our customers

  • Have organization wide impact through your work, departmental initiatives like brown bags and recruiting, being a mentor or onboarding buddy, etc.


  • You have experience building APIs as a way to interact with, and decouple, complex systems

  • Have built resilient, distributed data processing pipelines in Python or Scala using Spark

  • Have productionized solutions in a cloud environment like Amazon Web Services (AWS) or Google Cloud Platform (GCP)

  • Experience querying and utilizing relational databases

  • Experience with Agile engineering practices (testing, continuous integration, etc.)

  • The ability to work in a highly collaborative environment

  • A focus on building quality software solutions

More about the team

  • We have a 75+ person engineering team

  • We work in small, cross-functional teams that include product managers, designers, and QA, grouped in outcome-oriented “houses”

  • We value continuous learning in our everyday work

  • We deploy daily and rely heavily on automated testing and CI

  • We use Agile development and lean startup principles and practices to deliver products

  • We work with technologies like Ruby on Rails, React, Heroku, Postgres, AWS, Swift, Android, Python, and Kafka.