Data & Integration Engineer

About Us:

is the leading AI research and deployment company transforming the $300B+ new home construction industry.

Our Quantitative AI platform is deployed across 30+ markets in the U.S. and Canada, helping forward-thinking builders make smarter decisions around pricing, demand, forecasting, and growth. Our vision is to become the operational intelligence backbone for the homebuilding ecosystem.

About the Role:

We are looking for a highly skilled Data & Integration Engineer with a solid foundation in data pipeline development and the ability to switch from architecting to debugging and everything in between. 

Reporting directly to the Head of R&D, you are expected to learn fast, have ownership of the data flow from API to output and contribute directly to early and post commercialization products. In doing so you will gain a deep exposure to the housing industry and the critical - but often manual, error-prone, and limited - data that powers it. We are looking for someone who knows that there are often better ways of managing data, but that sometimes, going through it line by line is both necessary and the correct thing to do.

You will work in a productive and collaborative environment, synthesizing and generalizing learning across clients. Paired with our team of strong data engineers and scientists, you will enable, create and hone systems that will impact billions of dollars of revenue a year for new home builders.

If you're excited about the idea of disrupting an antiquated industry by taking home builders underleveraged data from an afterthought to the core of how they run their business, we want to hear from you.

Your Typical Responsibilities:

• Investigate available data and data sources, design integrations and code the data pipeline for new clients into existing productionized systems
• Improve and expand integration capabilities with existing new home building technologies (ERPs, CRMs, data warehouses etc)
• Architect generic solutions to make integrations faster, more scalable and less error prone
• Migrate and run existing clients through new capabilities, tuning machine learning parameters and models along the way
• Optimize and tune existing machine learning models when new data is available
• Discover and correct data anomalies, working with our engagement team and solution engineer to ensure the insights we present are based on the ground truth

About you:

• A highly skilled software engineer with a passion for data structures, real-life applications of technology and a love of fast iterative problem solving
• Proficient in Python, experience with pytorch and/or tensorflow is an asset
• Experience with, or ability to understand, data warehouses, data lakes and legacy ERP databases
• Strong fundamental understanding of SQL and SQL analytic functions
• Have a basic understanding of statistical distributions, analyze histograms, and generally intuitively understand data sets when exploring potential features
• Solid foundation in collaborative coding and use of tools like Git
• Experience using Jupiter notebooks or similar research-phase tools to quickly explore data/models is an asset
• A desire to learn or experience with machine learning pipelines
• A desire to learn or experience with how to engineering, train and tune quantitative AI models
• No minimum work experience is required

Benefits:

• Flexible Working Hours outside of Core Hours
• Hybrid Work with Fully Remote potentially available depending on the current location
• Vacation & Paid Time Off
• Dental and Medical Benefits

Job Types

: Permanent, Full-time

Compensation:

$70,000.00-$110,000.00 per year