Data & Integration Engineer

OpenHouse.ai; Calgary; Hybrid; CAD 70,000 - 110,000; Full time

Benefits offered by this job

Vacation & paid time off

Dental and medical benefits

Flexible working hours

Job summary

A leading AI research company in Calgary is seeking a Data & Integration Engineer to develop and manage data pipelines, improve integration capabilities, and optimize machine-learning models. Ideal candidates should be proficient in Python, possess strong SQL skills, and have a passion for data applications. This role offers a hybrid work model and competitive compensation ranging from $70,000 to $110,000 annually.

Qualifications

• A highly skilled software engineer passionate about data structures and technology applications.
• Desire to learn or experience with machine-learning pipelines.
• Basic understanding of statistical distributions and datasets.

Responsibilities

• Investigate data sources and design integrations.
• Improve integration capabilities with building technologies.
• Migrate and run clients through new capabilities.
• Optimize existing machine-learning models.
• Correct data anomalies for accurate insights.

Skills

Proficient in Python

Experience with PyTorch or TensorFlow

Understanding of data warehouses and data lakes

Strong SQL skills

Collaborative coding with Git

Tools

Jupyter notebooks

Job description

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