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1d ago

Senior Data Engineer Digital Twin & Operational Modeling

Oteemo, Inc Falls Church, VA

Falls Church, VA

1d ago

Full time Senior Analytics Aws Data Engineering

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Job Description

Join Oteemo, Inc to build the data engineering foundation for a digital twin that supports OR environment operational modeling and decision-support.

Responsibilities

Design and build scalable data architectures and pipelines for 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 platforms using modern data engineering practices.
Lead data and model development for a digital twin of the OR environment using 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.
Build what-if and scenario-analysis capabilities covering 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 operational decision-support tools.
Design APIs and data services to 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 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 simulation and modeling tool experience, such as AnyLogic, SimPy, Arena, MATLAB/Simulink, or comparable Python-based frameworks.
AWS hands-on 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 delivering solutions that support analytics, modeling, simulation, or operational decision-making.
Cloud-based data platform experience, preferably AWS, with strong SQL plus proficiency in 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.
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
Databricks, Snowflake, Apache Spark, Apache Kafka, Apache Airflow, SQL
Python, Java, Scala
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 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 to solving problems; expectation management.
Communication: Superior written and verbal communication, including ability to clearly articulate problems, solutions, risks, and rewards.
Technical Skills: Inherent passion for technology.
Business Acumen: Understanding how technology enables the business.

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