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Senior Systems Engineer (Data Engineer)
Strategic Data SystemsArlington, VA🇺🇸United StatesPosted 15 Aug 2026
Why This Role Stands Out
Leverage your systems engineering and data analysis expertise to drive critical decisions for complex Department of Defense programs, with opportunities for significant impact and professional growth. This hybrid role offers a flexible work environment and a negotiable salary, ideal for experienced engineers passionate about transforming raw data into actionable insights and user-focused solutions.
Quick Overview
Work Type
Hybrid
Level
Mid Senior
Job Description
Senior Systems Engineer
Location: The Pentagon, Washington, DC
Salary Negotiable (Depending on experience level) - Full Time with Benefits
The Senior Systems Engineer will support data-driven decision-making for complex Department of Defense programs by applying systems engineering discipline, data analysis, and rapid visualization capabilities. This role will use Government-provided enterprise software development and analytics tools, including Advana where applicable, to develop code, applications, dashboards, and analytical products that improve access to Global Force Management Data Initiative (GFM DI) data, organizational data, and system features. The position translates operational needs into clear requirements, reliable data products, analytical models, and user-focused solutions that strengthen decision support and support the full system life cycle.
Responsibilities
To qualify, you will need
Certification: DoD 8570/8140 IAT Level II certification required; active CompTIA Security+ preferred or acceptable if it satisfies the contract requirement.
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.
Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Location: The Pentagon, Washington, DC
Salary Negotiable (Depending on experience level) - Full Time with Benefits
The Senior Systems Engineer will support data-driven decision-making for complex Department of Defense programs by applying systems engineering discipline, data analysis, and rapid visualization capabilities. This role will use Government-provided enterprise software development and analytics tools, including Advana where applicable, to develop code, applications, dashboards, and analytical products that improve access to Global Force Management Data Initiative (GFM DI) data, organizational data, and system features. The position translates operational needs into clear requirements, reliable data products, analytical models, and user-focused solutions that strengthen decision support and support the full system life cycle.
Responsibilities
- 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.
To qualify, you will need
- 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.
Certification: DoD 8570/8140 IAT Level II certification required; active CompTIA Security+ preferred or acceptable if it satisfies the contract requirement.
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.
Strategic Data Systems provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Skills
SQL
Qlik
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