Senior Systems Engineer (Data Engineer)

• Apply systems engineering principles to analyze mission needs coordinate technical solutions develop requirements and support life-cycle planning for large complex projects.
• Data Curation - Curate organize and clean raw data feeds into structured reliable datasets that are optimized for querying reporting and analysis.
• Establish and maintain trusted data sources that improve consistency accuracy and confidence in operational decision-making.
• Analytical Modeling - Develop business logic analytical models and statistical approaches that connect datasets and translate raw inputs into actionable trends risks and insights.
• Rapid Visualization - Design and deploy clean interactive dashboards and lightweight web-based tools using platforms such as Qlik Streamlit or similar visualization technologies.
• Collaborate with stakeholders analysts engineers and mission partners to gather requirements validate outputs document assumptions and improve access to system data and features.
• Use Government-provided enterprise software development and analytics tools to conduct data analysis and develop code applications dashboards and data products supporting GFM DI use cases.
• Research assess reconcile and standardize disparate force element data organizational identifiers and related data structures used across Component systems and mission domains.
• Analyze complex system integration challenges involving the Organization Force Structure Construct Organization Unique Identifiers Component Org Servers enterprise analytic platforms and related Global Force Management tools.
• Apply analytical statistical or mathematical modeling approaches to support design decisions resolve data integration issues and generate actionable recommendations for Government stakeholders.
• Support assignment data processes and related tools including documentation stakeholder coordination and training for internal users and broader Communities of Interest.

• Master of Science degree from an accredited college or university in Systems Engineering and at least three (3) years of related experience; or
• Bachelor of Science degree in Systems Engineering and at least six (6) years of related experience; or
• Degree in another engineering discipline or operations research may be considered if the candidate has completed at least twenty-four (24) semester hours in operations research mathematics probability statistics mathematical logic science or other coursework requiring substantial college-level mathematics or statistics and has significant systems engineering experience.

Clearance: Active Top Secret/SCI clearance required.

Preferred Experience: Experience using DoD analytics platforms including Advana and developing code applications dashboards or data products that improve access to system data and features. Familiarity with GFM DI OFSC OUIDs Component Org Servers Global Force Management assignment processes enterprise analytic platforms Qlik Streamlit SQL data modeling dashboard development or similar analytics and visualization tools is highly desirable. Experience supporting Planning Intelligence Command and Control Logistics Financial or other DoD mission domains through data analysis integration or decision-support tools is preferred.