Staff Data Engineer

Breezy is an AI-powered operating system built exclusively for residential real estate professionals. They are seeking a Staff Data Engineer to lead the growth of their data platform, focusing on scaling data pipelines, managing multi-destination data architecture, and improving data quality.

Responsibilities:

• Design and build reliable data pipelines for property data across various storage engines
• Manage data from raw delivery to production-ready layers
• Develop orchestration and observability tools to replace ad-hoc scripts
• Collaborate with product engineers on data contracts and APIs
• Decide on tooling, such as Airflow or EventBridge
• Set technical standards for data engineering at Breezy

Requirements:

• 8+ years in data engineering, with 2 years at a staff or principal level
• Experience building a data platform from scratch
• Strong Python and SQL skills
• Knowledge of AWS data services and various storage engines
• Ability to make independent infrastructure decisions and explain them clearly
• Comfort in a fast-paced startup
• Experience with Apache Iceberg, ClickHouse, or columnar OLAP systems
• Knowledge of real estate, MLS, or proptech
• Experience with PostGIS or geospatial data at scale
• Background in building data foundations for ML/AI workloads
• Familiarity with OpenTofu/Terraform