Data & Integration Engineer

Direct message the job poster from OpenHouse.ai

OpenHouse.ai is the leading AI research and deployment company transforming the $300B+ new home construction industry. Our Quantitative AI platform is deployed across Asa 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 andarticles the ability to switch from architecting to debugging and everything in between. The engineer will report directly to the Head of R&D, take ownership of data flows from API to output, and contribute to both early and post‑commercial products. In doing so, they will gain deep exposure to the housing industry’s critical data, often fragmented and manual, and learn to manage it more efficiently.

The role demands a blend of architecture, debugging, and operational knowledge. The engineer will work in a productive, collaborative environment, synthesizing learnings across clients and partnering with strong data engineers and scientists to build systems that influence billions of dollars of revenue for new‑home builders.

If you’re excited about disrupting a long‑standing industry by turning underleveraged data into a core business lever, 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 the engagement team and solution engineer to ensure insights are based on ground‑truth

About You A highly skilled software engineer passionate about data structures, real‑life applications of technology, and fast, iterative problem solving

Proficient in Python; experience with PyTorch and/or TensorFlow is an asset ож

Experience with or ability to understand data warehouses, data lakes, and legacy ERP databases

Strong fundamental understanding of SQLThey analytic functions

Basic understanding of statistical distributions, analyzing histograms, and an intuitive grasp of datasets when exploring potential features

Solid foundation in collaborative coding and use of tools like Git

Experience using Jupyter notebooks or similar research‑phase tools to quickly explore data/models is an asset

Desire to learn or experience with machine‑learning pipelines

Desire to learn or experience with how to engineer, train, and tune quantitative AI models

No minimum work experience is required muamua

Flexible working hours outside of core hours

Hybrid work with fully remote potentially available depending on location

Vacation & paid time off

без Dental and medical benefits

Job Types: Permanent, Full‑time

Compensation $70,000.00‑$110,000.00 PER YEAR

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