Senior Data Engineer Digital Twin & Operational Modeling

The Senior Data Engineer Digital Twin & Operational Modeling role at Oteemo, Inc focuses on designing data architectures and pipelines and leading data and model development for a digital twin of the OR environment, supporting scenario modeling, analytics, and operational decision support.

Location

Falls Church, VA (onsite)

Role Summary

Build scalable data architectures and pipelines that enable a digital twin of the OR environment, including data-driven representations of physical and operational processes. Partner with DHA and MHS stakeholders to map workflows, resources, constraints, and dependencies, and deliver analytics and decision-support capabilities for operational planning and scenario evaluation. This position requires strong experience in healthcare and DoD environments, simulation and operations research, and AWS or modern data platform development.

Responsibilities

• Design and build scalable data architectures and pipelines for digital twin, analytics, and modeling initiatives, including ingestion, integration, transformation, storage, and access for structured and unstructured sources.
• Integrate operational, clinical, resource, scheduling, and logistics data on cloud-based platforms using modern data engineering practices.
• Lead data and model development for a digital twin of the OR environment, representing 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.
• Develop “what-if” and scenario-analysis capabilities to 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.
• Deliver dashboards, analytical models, and decision-support tools that convert complex data into actionable insights for operational planning.
• Design APIs and data services that connect digital twin and analytical capabilities to other enterprise systems.
• Implement 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.

Required Qualifications

• Experience supporting DoD healthcare or other large healthcare environments.
• Experience with digital twins, discrete-event simulation, agent-based modeling, or operations research.
• Experience modeling complex, resource-constrained environments such as hospitals, operating rooms, emergency departments, logistics networks, or supply chains.
• Healthcare operations familiarity, including OR and surgical case scheduling, patient flow, staffing and resource allocation, room and equipment utilization, supply and logistics management, and capacity planning.
• Experience developing optimization, predictive, mathematical, statistical, or machine learning models.
• Hands-on experience with simulation and modeling tools such as AnyLogic, SimPy, Arena, MATLAB/Simulink, or comparable Python-based frameworks.
• AWS experience including Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon EMR, Amazon SageMaker, and AWS Lake Formation.
• Experience with modern data platforms and tools such as Databricks, Snowflake, Apache Spark, Apache Kafka, or Apache Airflow.
• Experience developing APIs and integrating data platforms with enterprise applications.
• Ability to obtain and maintain the required DoD security clearance; Public Trust (healthcare) clearance preferred.
• US Citizen required.
• Bachelor’s degree in Computer Science, Data Science, Engineering, Operations Research, or a related field, or equivalent practical experience.
• 7+ years of experience in data engineering, data architecture, analytics engineering, or a related discipline, including hands-on design and implementation of data pipelines and data platforms.
• Proven expertise in data modeling, database architecture, ETL/ELT, data integration, and data transformation, including experience with relational and/or NoSQL databases, and a track record designing data solutions for analytics, modeling, simulation, or operational decision-making.
• Cloud-based data platform experience, preferably AWS, with strong SQL skills plus proficiency in one or more programming languages such as Python, Java, or Scala.
• Working knowledge of data quality, governance, metadata management, lineage, and data security practices.
• Strong analytical and problem-solving skills, including the ability to translate complex operational processes into technical, data-driven solutions, and comfort collaborating with data scientists, architects, SMEs, and government stakeholders.

Technologies

• AWS: Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon EMR, Amazon SageMaker, AWS Lake Formation
• Data platforms and engines: Databricks, Snowflake, Apache Spark, Apache Kafka, Apache Airflow
• Languages and query: SQL, Python, Java, Scala
• Simulation and modeling: AnyLogic, SimPy, Arena, MATLAB/Simulink

Benefits

• Complex but interesting challenges to improve the depth and breadth of your technical and business skills.
• Competitive pay and benefits.
• Tremendous growth opportunity by becoming part of a rapidly growing organization.
• Ability to make a noticeable difference for the organization and our customers.

What We Value

• Drive: Passion and energy to implement quality technical solutions, with self-motivation and intellectual curiosity.
• Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value for the customer.
• Customer Focus: Consultative approach to solving problems for customers and managing expectations.
• Communication: Superior written and verbal communication skills, including the ability to articulate problems, solutions, risks, and rewards.
• Technical Skills: Inherent passion for technology.
• Business Acumen: Understanding how technology enables business outcomes through technical solutions.

Work Authorization

US Citizen required.