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# Database Engineer [$190k/yr+] TS/SCI-CI Poly

- **Company:** SYSTOLIC, INC.
- **Location:** United States
- **Experience:** Experienced
- **Salary:** $190,000.0
- **Contract:** Temporary contract
- **Skills:** Testing (Software), Systems Engineering, Big Data, Databases, Database Storage Structures, Data Flow Control, Software Architecture, Software Engineering, Data Streaming, Web Services, Information Technology, Data Management
- **Published:** July 16, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9034070/database-engineer-190kyr-tssci-ci-poly

## About the Role

* Degree: Minimum B.S Degree, Mathematics, Engineering or Computer Science
 * Years of experience: 2+ years
 * Salary: $190k+ yearly compensation, pending final rate confirmation

## Description

* Design, develop, and maintain complex technical software systems.
 * Formulate enterprise architecture, system information models, and database structures.
 * Execute web-based development initiatives and manage intricate data flows., * Drive the full lifecycle development and maintenance of complex technical software systems.
 * Lead the design and implementation of enterprise architecture, system information models, and robust databases.
 * Execute web-based development projects, leveraging expertise in Web Services to manage and optimize critical Dataflow processes.
 * Apply advanced Software Development and Software Architecture principles to build scalable and efficient solutions.
 * Perform thorough Software Testing to ensure the reliability and performance of developed systems.
 * Utilize strong Database Engineering skills for schema design, optimization, and data management.
 * Produce high-quality Communications/Technical Writing for documentation, reports, and system specifications.
 * Employ Systems Engineering methodologies to integrate and manage complex system components.
 * Apply mathematical concepts to analyze problems and develop innovative solutions.
 * 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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