Oteemo, Inc is hiring for a Senior Data Engineer role focused on digital twin and operational modeling for OR environments. If you want complex, high-impact work that strengthens both technical depth and business thinking, this position combines scalable data engineering with scenario analysis and decision-support. You will support cloud-based data platforms, build modeling-driven analytics, and help teams translate real operational workflows into data and computational models.
Responsibilities
- Design and build scalable data architectures and pipelines that enable digital twin, analytics, and modeling, 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 with data and computational models.
- Partner with DHA and MHS stakeholders to map workflows, resources, constraints, and dependencies.
- Translate OR workflows into data models, process models, and simulation models.
- Build 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 as appropriate.
- Analyze large, complex datasets to identify bottlenecks, inefficiencies, and optimization opportunities.
- Deliver dashboards, analytical models, and decision-support tools for operational planning.
- Design APIs and data services that connect digital twin and analytical capabilities to other enterprise systems.
- 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.
Requirements
- Experience supporting DoD healthcare or other large healthcare environments.
- Experience with digital twins, discrete-event simulation, agent-based modeling, or operations research.
- Experience modeling resource-constrained environments such as hospitals, operating rooms, emergency departments, logistics networks, or supply chains.
- Familiarity with healthcare operations, 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) 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.
- 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 with the ability to translate complex operational processes into technical, data-driven solutions.
Technologies
AWS, Amazon S3, AWS Glue, AWS Lambda, Amazon Redshift, Amazon RDS, Amazon EMR, Amazon SageMaker, AWS Lake Formation, Databricks, Snowflake, Apache Spark, Apache Kafka, Apache Airflow, SQL, Python, Java, Scala, AnyLogic, SimPy, Arena, MATLAB/Simulink
What You’ll Get
- Complex but interesting challenges that improve the depth and breadth of your technical and business skills.
- Competitive pay and benefits.
- Tremendous growth opportunity by joining a rapidly growing organization.
- Ability to make a noticeable difference for the organization and customers.
Values
- Drive: Passion and energy to implement quality technical solutions; self-motivation and intellectual curiosity.
- Commitment to Quality: Passion to conceive and produce world-class solutions that drive real-world value.
- Customer Focus: Consultative approach and expectations management.
- Communication: Ability to clearly articulate problems, solutions, risks, rewards, written and verbal.
- Technical Skills: Inherent passion for technology.
- Business Acumen: Understanding how technology enables the business.
