Senior Data Engineer Digital Twin & Operational Modeling

• 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.

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.
• Familiarity with healthcare operations 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.
• Experience with AWS services 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 Citizen required. 
• Bachelors degree in Computer Science Data Science Engineering Operations Research or a related field or equivalent practical experience.
• 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.
• Data Engineering: Proven expertise in data modeling database architecture ETL/ELT data integration and data transformation; experience with relational and/or NoSQL databases; track record designing data solutions that support analytics modeling simulation or operational decision-making.
• Cloud & Programming: Experience with cloud-based data platforms preferably AWS; strong SQL skills plus proficiency in one or more programming languages such as Python Java or Scala.
• Governance & Security: Working knowledge of data quality governance metadata management lineage and data security practices.
• Problem Solving & Collaboration: Strong analytical and problem-solving skills; ability to translate complex operational processes into technical data-driven solutions; comfortable collaborating with data scientists architects SMEs and government stakeholders.

Additional Information :

We Value:

• 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 for the customer
• Customer Focus: Consultative approach to solving problems for customers. Expectations management.
• Communication: Superior communication skills. Ability to clearly articulate problems solutions risks rewards etc. (written and verbal)
• Technical Skills: Love for technology. You have to be inherently passionate about technology.
• Business Acumen: Technology ultimately is used to enable the business. We look for people who understand how the businesses can be enabled through their technical solutions

What we offer:

• Ability to make a noticeable difference for the organization and our customers
• Tremendous growth opportunity by becoming part of a rapidly growing organization. Its not your tenure but what you can bring to the table that defines how your career will be shaped. You control your growth.
• Complex but interesting challenges to improve the depth and breadth of your technical and business skills. Our consultants are business technologists and understand how technology drives business. 
• Competitive pay and benefits

Work authorization requirement: US Citizen

Oteemo is an equal employment and affirmative action employer. We evaluate qualified applicants on merit and business needs and not on race color religion creed gender sexual orientation national origin ancestry age disability genetic information marital status veteran status or any other factor protected by law. Oteemo complies with the law regarding reasonable accommodations for handicapped and disabled employees.

Remote Work :

No

Employment Type :

Full-time