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Job Description & How to Apply Below
Join FacilityOS as a Data Engineer, focusing on the foundational data infrastructure crucial for AI initiatives in a hybrid work environment. Shape the future by optimizing data pipelines and governance standards.
As a key part of our data team, you will report directly to the VP of Engineering. Your responsibilities will include enhancing our existing data architecture and ensuring that our AI agents have access to reliable data. Collaborating closely with AI Engineers, you will emphasize data quality and compliance to meet critical business analytics needs.
Key Responsibilities:
• Design and maintain FacilityOS's data warehouse and lake
• Establish data governance with quality checks and tracking
• Build reliable data pipelines across various sources
• Support ISO
27001 and SOC2 Type 2 compliance initiatives
• Provide technical support for AI program planning
Requirements:
• 5+ years in data engineering with ETL/ELT experience
• Proficient with modern data tools like dbt and Airflow
• Knowledge of data governance practices
• Familiarity with AI data needs is a plus
• Bachelor's degree in relevant field
Leverage your expertise in data engineering to drive AI success at FacilityOS.
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