Senior Data Engineer

What You'll Do: 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. Help define best practices for data governance and reliability.

Experience: 5+ years in data engineering or backend engineering roles.

Technical Skills: Strong Python expertise required. Proficiency in SQL, data modeling, and modern data pipeline tools (e.g., Airflow, dbt, Kafka, Snowflake, etc.). Familiarity with AI/ML workflows a plus. Startup Mindset: Comfort working in fast-paced, high-ownership environments. Collaboration: Strong written and verbal communication skills, with an ability to translate technical details into clear solutions. Why Join Scaffold? Impact: Play a critical role in defining and building the future of Scaffold and the residential construction industry. Growth Opportunity: Be an early leader in a venture-backed company. Culture: Work alongside high-caliber teammates in a no-ego, high-energy environment.

Compensation: Competitive salary and meaningful equity in the company.