HE TEAM YOU WILL BE JOINING:

• One of the largest providers of high-quality, single-family residences in the United States
• A team of hard-working individuals who take pride in providing the highest quality of safety, security, and stability
• A dynamic, highly progressive, and goal-oriented company with expectations of tripling in size over the next few years
• Highly acquisitive in the real estate industry held by private equity

WHAT THEY OFFER YOU:

• In addition to outstanding training, they host town hall meetings to encourage growth, knowledge sharing across the organization
• The Quantitative team is acquiring large data sets in well established domains to create the first of it’s kind knowledge base of all real estate transactions and potential transactions in the US to determine acquisition strategy for the business
• The leadership team of the Quant group is highly educated, fiercely intelligent and motivated to build a world class team
• Competitive performance-based bonuses
• Comprehensive healthcare coverage for you and your family, parental leave, paid time off, and paid holidays

WHY THIS ROLE IS IMPORTANT:

• Offers opportunity to use upcoming technologies to help preform financial engineering
• Will be developing applications using Java/Hibernate/Vaadin
• The applications that are developed will be to support the acquisition, leasing, and management of different properties and homes
• Opportunity to develop integrations with various levels of Real Estate startups
• Opportunity to analyze various sets of data to help identify various trends along with optimizations

THE BACKGROUND THAT FITS

• A Bachelors degree is preferred
• Minimum of 3-5 years of experience designing, building, and maintaining data processing systems.
• Must have strong SQL experience
• Must have Python or Java experience 
• Knowledge of how to develop, deploy, and support data pipelines
• Strong understanding of how to design, build, and maintain cloud-based data warehouse solutions
• AWS or Azure experience required
• Any MongoDB, S3, and Snowflake experience is a plus

#LI-KC1