Role: Systems Engineer – Mission Command Location: Aberdeen Proving Ground,MD Duration: Direct Hire

What You’ll Get to Do:
You will provide support for systems engineering design reviews, modeling system behavior through functional flows and descriptions, development of interface control documents, and interface description documents.
You will provide support for systems engineering design reviews, modeling system behavior through functional flows and descriptions, development of interface control documents, and interface description documents.
You will describe the infrastructure required for optimal pulling, pushing, transformation, and loading of data from a wide variety of data sources using SQL, XML and other technologies.
You will work with stakeholders including the Product Managers, Lead Engineers and Development teams to assist with data-related technical issues and support their data infrastructure needs.
You will support making converged mission command systems smarter using artificial intelligence and machine learning to bring in meaningful tactical cloud capabilities. PM MC develops, deploys and sustains integrated mission command and situational awareness capabilities to the Army and joint forces.

You’ll Bring These Qualifications:
- ship, active DoD Secret clearance, and the ability to maintain clearance required.
- Bachelor’s Degree (Computer Science, Engineering, or similar) and at least 3 years of experience OR an Associates Degree and at least 7 years of experience OR no degree and at least 9 years of experience.
- Experience with US Army Common Operating Environment “COE” and the PEO C3T and PM MC portfolio or similar DoD systems
• Experience dealing with complex data sets and the technologies to manage those data sets securely
• Experience with data analytics and developing queries to reduce data sets to discern patterns/trends for general audience consumption.
• Experience dealing with complex data sets and the technologies to manage those data sets securely
• Experience with data analytics and developing queries to reduce data sets to discern patterns/trends for general audience consumption.

Thanks & Regards
SUNIT