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# Database Engineer [$258k/yr+] TS/SCI-CI Poly

- **Company:** SYSTOLIC, INC.
- **Location:** United States
- **Experience:** Expert
- **Salary:** $258,000.0
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Big Data, Business Process Modeling, Software Documentation, Program Optimization, Databases, Extract Transform Load (ETL), Database Development, Data Flow Control, Software Architecture, Software Engineering, Systems Architecture, Reliability of Systems, Information Technology
- **Published:** July 17, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9034047/database-engineer-258kyr-tssci-ci-poly

## About the Role

* Degree: Minimum B.S Degree, Mathematics, Engineering or Computer Science
 * Years of experience: 10+ years
 * Salary: $258k+ yearly compensation, pending final rate confirmation

## Description

* Develop, test, install, and maintain advanced technical software systems.
 * Produce comprehensive technical and user documentation.
 * Design and implement robust database solutions for data collection, fusion, and egress.
 * Incorporate enterprise and system architecture principles into solutions.
 * Apply business process modeling and workflow automation techniques.
 * Utilize expertise in Mathematics to solve complex problems., * Perform full lifecycle software development, including design, development, testing, and installation of complex technical systems.
 * Create and maintain clear, concise technical and user documentation.
 * Engineer and implement database solutions for efficient data collection, integration, and egress.
 * Apply principles of Enterprise Architecture and Software Architecture to design scalable and robust systems.
 * Develop and optimize dataflow processes to ensure seamless data movement and transformation.
 * Implement workflow automation and leverage business process modeling to enhance operational efficiency.
 * Utilize advanced mathematical concepts and techniques for problem-solving and system optimization.
 * Conduct thorough software testing to ensure system reliability and performance.
 * Experience creating technology solutions which are performant and within the bounds of customer budgetary constraints.
 * Experience fusing large datasets to reveal new insights or conclusions within compute constraints.


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