Data Modeler Mid-Level NEE122
IC-CAP LLC is a Woman Owned / HUBZone Small Business working in the Department of Defense and Intelligence Community. We are always looking for highly talented, energetic, and dynamic professionals that are interested in protecting the defense of our nation.
Some of the positions are future positions. Please look at the opening line of the job description to determine if this is an open or future position.
Our positions are not remote unless stated in the job description below.
We are looking to fill this position at the following location(s):
- Springfield, VA
Data Modeler (Mid-Level):
Overall Assignment Description:
Mid-level Data Modelers conduct data modeling activities in support of business stakeholders,
analysts, and workforce to define and analyze system and data requirements to support NGA
business operation and related processes to ensure timely and accurate execution of
corporate mission and functions.
Assists Government with the development and use of complex models, tools and algorithms to identify trends and patterns in corporate data.
Work with the Business Architect to model the business processes for re-engineering,optimization, or integration of technical solutions (i.e. automation, advancedlearning/machine learning, etc.)
Supports developing models of NGA’s architectures, requirements, and systems performance and considers NGA strategies and overall vision for the future of corporate mission and
Supports creating models to support analysis of alternatives, performance trades, design trades and new capabilities and develops alternatives for deployment based on MS&A results in existing NSG architectures and cloud environments.
Skills and Experience:
Bachelor’s degree or higher in Engineering, Computer Science, Information Technology, Management Information Systems, or related STEM degree program, or equivalent Mid level work experience as an Data Modeler.
Mid-level working experience in government or industry modeling large complex System of
Systems or Service Oriented Architecture/Cloud environments.
Demonstrated experience with Model Based Systems Engineering, processes, tools and languages.
Mid-level working experience in Operations Research.