Senior Data Engineer

📋 Description

• Architect, build, and maintain reliable data pipelines and infrastructure.
• Standardize, clean, and model large sets of messy real-world construction data.
• Develop tools to ensure data quality, accuracy, and performance at scale.
• Partner closely with product, engineering, and customers to design integration flows.
• Apply Python (required) and SQL for advanced data engineering and ETL workflows.
• Leverage AI/ML methods to improve automation of data classification and mapping.

🎯 Requirements

• 5+ years in data engineering or backend engineering roles.
• Strong Python expertise required.
• Proficiency in SQL, data modeling, and modern data pipeline tools (e.g., Airflow, dbt, Kafka
• Familiarity with AI/ML workflows a plus.
• Comfort working in fast-paced, high-ownership environments.
• Strong written and verbal communication skills, with an ability to translate technical details into

🎁 Benefits

• Competitive salary and meaningful equity in the company.
• Play a critical role in defining and building the future of Scaffold and the residential
• Be an early leader in a venture-backed company.
• Work alongside high-caliber teammates in a no-ego, high-energy environment.