Senior Data Engineer

About FacilityOS

FacilityOS is a fast-growing company redefining how facilities operate—bringing safety, security, and daily operations into one unified platform used by organizations around the world.

As we continue to scale globally, we’re building a team of driven, curious people who want to make an impact. You’ll be part of a dynamic, collaborative culture where individuals are trusted to take ownership, solve meaningful problems, and grow in their careers. Our team comes together in-office twice a week to connect, collaborate, and build momentum.

If you’re looking to do your best work alongside a great team in a high-growth environment, FacilityOS is the place to build your career.

The Data Engineer reports to the VP of Engineering and owns the data infrastructure that powers FacilityOS's AI agents and broader analytics needs. This role is foundational to the company's AI strategy: agents are only as good as the data they can reliably access, and the Data Engineer is responsible for building and maintaining that foundation.

FacilityOS's data foundation exists today but requires expansion to support the next phase of AI-driven growth. The Data Engineer drives that expansion, schema design, pipeline quality, and data governance, working in close partnership with the AI Engineer, who builds the agents that orchestrate against this data.

• Own the design, build-out, and ongoing maintenance of FacilityOS's data warehouse and data lake
• Design and evolve schemas that support both AI agent orchestration and broader business analytics
• Build and maintain reliable, well-monitored data pipelines across source systems

• Establish and enforce data governance standards, including data quality checks, lineage tracking, and access controls
• Ensure data structures meet the AI-readiness standards required for agent orchestration
• Partner with VP Infosec to ensure data handling meets ISO
  27001 and SOC2 Type 2 compliance requirements
• Own the health and cost of the platform as usage grows

• Build agents to meet FacilityOS's ISO
  27001 and SOC2 Type 2 compliance requirements from the ground up
• Partner with the AI Engineer to ensure agents have reliable, structured, and current data to work against
• Support department managers by making departmental data accessible and AI-ready for their agent initiatives
• Act as a technical resource within the AI Tech/Integration SWAT for data-related blockers
• Connect agents into the core business systems departments already work in — Microsoft 365, Outlook/email, and Teams, so agents can read, draft, notify, and act within existing workflows rather than requiring new interfaces
• Build and maintain secure authentication and permissioning patterns (e.g., Microsoft Graph API, OAuth) for agents acting inside business systems on a user or department's behalf

• Provide technical input to the AI Program Lead's portfolio planning, flagging data risk and readiness gaps early
• Support "AI before headcount" evaluations by assessing whether existing data infrastructure can support proposed automation
• Contribute to org-wide data foundation documentation and standards

• 5+ years of experience in data engineering, including schema design, ETL/ELT pipeline development, and data warehouse/lake architecture
• Hands‑on experience with Fabric or alternative modern data stack tools (e.g., dbt, Airflow, Snowflake, Big Query)
• Working knowledge of data governance, quality, and security practices in an enterprise environment
• Familiarity with the data requirements of AI/RAG systems (structured retrieval, embeddings, vector stores) is a strong asset
• Familiarity with compliance frameworks such as SOC2 or ISO
  27001 is a plus
• Experience in a SaaS or enterprise technology environment preferred
• Bachelor's degree in Computer Science, Engineering, or equivalent practical experience

We work hard and play hard and we do both with passion and respect for one another. Our company promotes a fast‑paced, fun, friendly, and highly collaborative work environment that provides:

Comprehensive…