Full-Stack Engineer

Summary

Join our team as a Full Stack Engineer to develop a cutting-edge automated property valuation system for the real estate industry. This fully remote role involves building and integrating a system that leverages public data sources, automates property valuations, and seamlessly integrates with Salesforce. You will be responsible for developing algorithms, managing databases, and optimizing system performance. The ideal candidate possesses strong full-stack development skills, experience with Salesforce integration, and expertise in algorithms and automation. This is a high-impact role offering significant growth potential within a fast-paced environment.

Requirements

• Possess strong Full Stack Development Skills: Experience in both front-end and back-end development, including building scalable web applications
• Have experience with Salesforce: Must have knowledge of integrating algorithms and automations into Salesforce
• Be expert in Algorithms & Automation: Proficiency in developing algorithms that interact with real-time data and public information
• Have proficiency in Relevant Technologies: Strong skills in languages like JavaScript, Python, PHP, Ruby, or similar for full-stack development
• Have Real Estate Data Understanding: Familiarity with real estate valuation models, market trends, and public databases (MLS, Zillow, PropStream)
• Have Experience with Data-Driven Applications: Experience developing applications based on large sets of data, particularly related to finance or real estate
• Possess Problem-Solving Skills: Ability to troubleshoot issues with data sources and algorithm outputs, ensuring smooth operations

Responsibilities

• Build and develop an automated property valuation system that pulls in public data (e.g., tax data, real estate sites like Zillow, PropStream) and calculates property values using set metrics
• Integrate backend algorithms into Salesforce to automate the property evaluation process based on user inputs
• Work with various public and paid data sources to obtain relevant property information and ensure the system can process this data in real-time
• Develop and maintain APIs that pull information from external real estate databases such as tax records, MLS listings, and Zillow
• Build algorithms that adjust property pricing based on input data (e.g., square footage, neighborhood statistics, market trends) and return results instantly to users
• Continuously monitor and improve the performance of the system to ensure it delivers fast and accurate property valuations with minimal delay
• Work with the marketing and sales teams to refine the automation process and enhance lead conversion

Preferred Qualifications

• Have Real Estate Industry Experience: Knowledge or experience working with iBuyer platforms, real estate valuation, or similar industries
• Have Experience with AI/ML: Familiarity with applying AI or machine learning to automate data processing and prediction models
• Have Backend Database Experience: Working knowledge of SQL, MongoDB, or similar technologies for handling large data sets

Benefits

Fully-Remote (Work from Home), 9 AM - 5 PM EST