Full-Stack Engineer

Summary

Join our client's team as a Full Stack Engineer to develop a cutting-edge automated property valuation system, similar to OpenDoor and OfferPad. This role involves integrating public data sources, automating property valuations, and building a seamless system within Salesforce for real estate offers. You will be responsible for developing an automated property valuation system that pulls in public data, calculates property values, and integrates with Salesforce. This role focuses on integrating real-time data, building algorithms, and automating the valuation process to ensure fast, accurate results.

Requirements

• Strong Full Stack Development Skills: Experience in both front-end and back-end development, including building scalable web applications
• Experience with Salesforce: Must have knowledge of integrating algorithms and automations into Salesforce
• Expert in Algorithms & Automation: Proficiency in developing algorithms that interact with real-time data and public information
• Proficiency in Relevant Technologies: Strong skills in languages like JavaScript, Python, PHP, Ruby, or similar for full-stack development
• Problem-Solving Skills: Ability to troubleshoot issues with data sources and algorithm outputs, ensuring smooth operations

Responsibilities

• System Development: 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
• Salesforce Integration: Integrate backend algorithms into Salesforce to automate the property evaluation process based on user inputs
• Database Management: Work with various public and paid data sources to obtain relevant property information and ensure the system can process this data in real-time
• API Integrations: Develop and maintain APIs that pull information from external real estate databases such as tax records, MLS listings, and Zillow
• Automation & Algorithms: Build algorithms that adjust property pricing based on input data (e.g., square footage, neighborhood statistics, market trends) and return results instantly to users
• System Optimization: Continuously monitor and improve the performance of the system to ensure it delivers fast and accurate property valuations with minimal delay
• Collaboration: Work with the marketing and sales teams to refine the automation process and enhance lead conversion

Preferred Qualifications

• Real Estate Data Understanding: Familiarity with real estate valuation models, market trends, and public databases (MLS, Zillow, PropStream) is a plus
• Experience with Data-Driven Applications: Experience developing applications based on large sets of data, particularly related to finance or real estate
• Real Estate Industry Experience: Knowledge or experience working with iBuyer platforms, real estate valuation, or similar industries
• Experience with AI/ML: Familiarity with applying AI or machine learning to automate data processing and prediction models
• Backend Database Experience: Working knowledge of SQL, MongoDB, or similar technologies for handling large data sets

Benefits

• This role provides a unique opportunity to work on innovative real estate technology that is shaping the future of automated property valuations
• As a key member of the team, you'll have the chance to make a significant impact on the business by developing high-tech solutions that streamline the real estate process
• If you’re looking for an exciting, fast-paced environment with real growth potential, this is the role for you!