Senior MS&A Engineer — Cloud & Big Data GEOINT

Mission Intelligence Group

Springfield (VA)

On-site

USD 140,000 - 190,000

Full time

5 days ago
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Benefits offered by this job

Medical, Dental, and Vision
401(k)
Life Insurance
Flexible Spending Account
Paid Time Off

Job summary

Mission Intelligence Group is seeking an Expert-Level Modeling, Simulation & Analysis (MS&A) Engineer to support critical NGA missions. You will lead modeling, simulation, and analytical activities for large-scale System of Systems environments, guiding data-driven decisions and optimizing performance across cloud, on-premises, and hybrid infrastructures.

You will mentor engineering teams while collaborating with stakeholders, analysts, and mission partners to define data requirements and deploy

Qualifications

  • Bachelor's degree or higher in CS/IT/Engineering or related STEM field.
  • 18+ years of experience in large, complex System of Systems environments with government/DoD/IC exposure.
  • Active TS/SCI clearance or ability to obtain SCI eligibility with polygraph.
  • Experience developing and utilizing tools within cloud environments.

Responsibilities

  • Lead MS&A activities supporting NGA missions and business objectives.
  • Develop and apply models, simulations, and analytical tools for large-scale data environments.
  • Provide technical leadership and mentorship to Senior, Mid-Level, and Junior MS&A Engineers.
  • Evaluate architectures, requirements, and system performance to inform decisions.

Skills

MS&A engineering
System of Systems
Cloud environments
Leadership
Mentorship

Education

Bachelor's degree or higher in CS/IT/Engineering/Math/related STEM
Master's degree (preferred) in STEM

Tools

MBSE tools
Cloud platforms
Modeling tools

Job description

Mission Intelligence Group is seeking an Expert-Level Modeling, Simulation & Analysis (MS&A) Engineer to support critical NGA missions. You will lead modeling, simulation, and analytical activities for large-scale System of Systems environments, guiding data-driven decisions and optimizing performance across cloud, on-premises, and hybrid infrastructures.

You will mentor engineering teams while collaborating with stakeholders, analysts, and mission partners to define data requirements and deploy

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