Data Engineer

Amiio is an AI-powered platform built for real estate investors and asset managers. It transforms fragmented financial, technical, and commercial data into clear dashboards and predictive insights—helping real estate professionals optimize performance, reduce costs, and make smarter, faster decisions. Designed for strategic decision-making in real estate, Amiio uses advanced AI to make complex analysis and insights generation fast, intuitive, and fully automated. By combining innovation with intelligence, Amiio is redefining how the industry leverages data and AI—setting a new standard for modern real estate management.

About the Role:

We’re looking for a talented Data Engineer to join our core product team and help build a high-performance, scalable data platform. You’ll collaborate with data scientists, product managers, and fellow engineers to design and maintain reliable pipelines, optimize data storage, and enable analytics at scale.

This role offers the chance to take technical ownership, contribute to architecture decisions, and build systems at the intersection of AI and real estate innovation.

Responsibilities:

Design, build, and maintain scalable data pipelines using Python and cloud-native tools

Develop efficient ETL/ELT processes for structured and unstructured data.

Proven experience developing scalable batch and streaming data workflows.

Optimize data models and warehouse structures for analytics and reporting

Collaborate with product managers and data scientists to deliver reliable datasets for AI-driven features

Implement best practices for data quality, monitoring, and reliability

Contribute to architecture planning and continuous improvement of data infrastructure

Requirements:

4+ years of experience as a data engineer or in a similar data-focused role

Strong proficiency with Python.

Strong familiarity with the modern data stack, including Airflow, Kafka, Snowflake and complementary batch and streaming frameworks.

Experience with Google Cloud Platform (BigQuery, Firestore, Cloud Storage)

Solid understanding of data modeling, SQL, and distributed data processing

Experience building and maintaining CI/CD workflows for data systems

Knowledge of version control (Git) and automated testing for data pipelines

Passion for building clean, reliable, and scalable data solutions

Nice to Have:

Background in real estate, finance, or other data-heavy domains

Familiarity with Firebase for data integration and real-time applications

Exposure to machine learning workflows and feature engineering

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