Data Engineer AI at FacilityOS

Position: Data Engineer for AI Growth at FacilityOS
Elevate FacilityOS's data infrastructure as a Data Engineer focused on AI-driven solutions. Contribute to schema design, data quality, and analytics in a hybrid work model.
FacilityOS is seeking a skilled Data Engineer with over five years of experience in data engineering and architecture. You will be integral to enhancing the data foundation that supports AI agents, ensuring reliable data availability through robust pipelines and governance. Collaboration with the AI Engineer and other stakeholders will be crucial to meeting compliance standards and ensuring high data management quality.

Key Responsibilities:

• Design and maintain FacilityOS's data warehouse and lake

• Establish data governance and quality checks

• Build optimal data pipelines across systems

• Collaborate on AI agent requirements and strategies

• Support data accessibility for departmental initiatives
Requirements:

• 5+ years in data engineering experience

• Expertise in modern data stack tools (e.g., dbt, Airflow)

• Strong understanding of data governance practices

• Familiarity with compliance frameworks (SOC2, ISO
27001)

• Bachelor's degree in Computer Science or equivalent
Drive AI advancements through data integrity and infrastructure support at FacilityOS.
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