Software Engineer, Data Analytics

Toronto; New York; Austin

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VTS

Transform your commercial real estate and lease management process with VTS. Landlords and CRE brokers can manage assets and leasing with one CRM.
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ABOUT VTS
VTS is changing the way that commercial real estate (CRE) is done—disrupting a $15 trillion industry by becoming the modern operating system for CRE. We invented the category of leasing and asset management, which allows landlords and brokers to take their entire leasing process online to maximize revenue and performance. Last year, we launched the fastest adopted new product in proptech, VTS Market. Rise Buildings by VTS is leading an entirely new category of software - tenant experience. We also recently launched VTS Data, already getting front-page references in the Wall Street Journal and quoted by Reuters, The Real Deal, Commercial Observer, and many more. Our success shows in our numbers—we hit "Unicorn" status in 2019 and today we have over 12  billion square feet of commercial space managed on VTS on 80,000 buildings in 34 countries, and we’ve expanded to over 400 employees globally. It’s an exciting time to join the VTS team as we continue to grow rapidly and break records.
Our headquarters are in NYC, but we have major hubs in other cities including Chicago, IL, Toronto, CA, London, UK, San Francisco, CA, and Austin, TX.
Learn more at vts.com, risebuildings.com,  or follow us on Instagram (@WeAreVTS), Twitter (@WeAreVTS), or LinkedIn
How Does This Position Help VTS Succeed?
The Data Engineering team at VTS enables our business users to gain actionable insights and deliver client value through a combination of data science and analysis. We maintain secure, reliable, and performant data warehouses and pipelines, as well as provide tools to our internal teams so that they can best support our clients. 
We are looking for an experienced leader to join our Data Engineering team to help us transform, analyze, and understand the usage of our growing product portfolio, create insights from a unique industry data set, and make the delivery of data fast as well as secure. The Data Engineering team is at the forefront of VTS’ business operations and client services; the organization’s success depends on this team’s delivery of timely and relevant data platform improvements.

What Makes This Job Awesome?

  • You will have the opportunity to build and maintain critical data that enables VTS to make data-driven decisions; optimize and automate data processes; and embrace VTS Values
  • You will partner with stakeholders to discover and define core data domains for VTS
  • You will build, maintain, and improve the infrastructure and tooling that supports our data platform
  • You will build data pipelines that transform transactional data into dimensional models
  • You will work with and help to introduce cutting edge technologies and best practices
  • You will champion the practices and processes that ensure data is trustworthy, useful, and secure

What Makes You a Great Fit?

  • You are familiar with SQL. You have used SQL to store and retrieve data from a relational database either for personal research or professionally
  • You have experience using general-purpose programming languages like Python or Java
  • You love learning about and working with new tools and technologies, and sharing your knowledge with the team
  • You are excited to discover and understand new data sets, structure data pipelines, set up data tests, and work with modern and emerging technologies
  • You have empathy for business analysts discovering new insights and data scientists building machine learning models
  • You evangelize data as a product and continually seek to understand how it is used and how to improve it
  • You are collaborative and enjoy working in a team

You Have Experience or Interest In...

  • Building infrastructure as code, and automating anything and everything that could be done by hand
  • Increasing discoverability of data and upleveling internal users’ data competencies
  • Securing and governing access to sensitive data
  • Configuring Snowflake and other data platform tools
  • Working in an enterprise quality AWS environment
  • Understanding the commercial real estate space, the data it contains, and the insights it can provide

About Our Team

  • We have a 90+ person product/engineering/design/QA team
  • We work in small, cross-functional teams
  • We value continuous learning in our everyday work
  • We deploy daily and rely heavily on a variety of QA strategies including automated testing and CI
  • We use agile development and lean startup principles and practices to deliver products
  • Our data stack: Snowflake, AWS, Looker, Airflow, Python, Ruby on Rails, PostgreSQL
  • Learn more on our engineering blog

What VTS Values & How We Show It:

  • Strive for Excellence - We know your potential is unlimited. Take advantage of our executive coaches and our training and career development programs available to all employees!
  • Be Customer Obsessed - We’re employee obsessed too! VTS offers competitive compensation, comprehensive health benefits (including dental and vision), pre-tax commuter benefits. Not to mention the fun stuff - monthly happy hours, wellness events, clubs, and team lunches!
  • Be Curious - Benefit from a culture that promotes new learning. VTS offers an education stipend to all employees!
  • Move as One - We work in an open floor plan to promote cross-functional collaboration.
  • Take Ownership - Be an owner of the company you’re building with our equity packages.
  • Appreciate the Difference - VTS embraces and celebrates diversity. We understand the importance of a strong work-life balance. We offer a flexible PTO policy, generous family leave program, and more!
VTS embraces diversity and equal opportunity in a serious way. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our work will be.
All your information will be kept confidential according to EEO guidelines.
Job region(s): North America
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