Senior Data Engineer Digital Twin & Operational Modeling

Oteemo is an industry-leading technology consulting firm at the forefront of AI-driven, cloud native, enterprise Dev Sec Ops  transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical and business challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting‑edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core.

We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.

Oteemo is an industry-leading technology consulting firm at the forefront of AI-driven, cloud native, enterprise Dev Sec Ops  transformation. We build intelligent, automated, secure systems for organizations tackling their toughest technical and business challenges and we're pushing the boundaries of what AI, generative AI, and agentic systems can do in production, not just in theory. Join us and you'll work alongside recognized experts on cutting‑edge projects that blend cloud native architecture, extreme automation, and AI/ML at the core.

We foster a dynamic, inclusive, and collaborative culture built on continuous learning, where your ideas shape real outcomes for our clients. If you're passionate about building what's next in AI and cloud technology and want to do it with a team that sets the standard rather than follows it, Oteemo is where you belong.

• Data Architecture & Pipelines:
  Design and build scalable data architectures and pipelines that power digital twin, analytics, and modeling initiatives; architect ingestion, integration, transformation, storage, and access across structured and unstructured sources; integrate operational, clinical, resource, scheduling, and logistics data on cloud-based platforms using modern data engineering practices.
• Digital Twin Development:
  Lead data and model development for a digital twin of the OR environment that represents physical and operational processes through data and computational models; partner with DHA and MHS stakeholders to map workflows, resources, constraints, and dependencies; translate real-world OR workflows into data models, process models, and simulation models.
• Scenario Modeling & Analytics:
  Build “what-if” and scenario-analysis capabilities that evaluate changes in staffing, scheduling, room utilization, equipment, patient flow, and capacity; apply statistical modeling, optimization, machine learning, or simulation techniques where appropriate; analyze large, complex datasets to identify bottlenecks, inefficiencies, and optimization opportunities.
• Data Products & Integration:
  Deliver dashboards, analytical models, and decision-support tools that turn complex data into actionable insights for operational planning; design APIs and data services that connect digital twin and analytical capabilities to other enterprise systems.
• Governance, Documentation & Communication:
  Establish data quality, governance, lineage, validation, and monitoring processes; document architectures, models, pipelines, algorithms, assumptions, and system dependencies; communicate complex technical and analytical concepts clearly to technical teams, healthcare stakeholders, and government leadership.

• Experience supporting DoD healthcare, or other large healthcare environments.
• Experience with digital twins, discrete‑event simulation, agent‑based modeling,…