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# Systems Engineer (TS/SCI with Polygraph)

- **Company:** Red Alpha
- **Location:** Columbia, MD, United States
- **Experience:** Expert
- **Salary:** $120,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Systems Engineering, Customer Data Management, Data Transformation Services, Data Streaming, Information Technology
- **Published:** November 3, 2026
- **Apply:** https://www.careerbuilder.com/job-details/systems-engineer-ts-sci-with-polygraph-columbia-md--fbd9b3b6-e7ec-4bdb-95ff-6795e2f5a27f

## About the Role

Systems Engineering, Sensitive Compartmented Information (SCI), Top Secret Clearance, Agile Programming Methodologies, Customer Relations, Systems Engineering, Project/Program Management, Data Modeling, Customer/Client Research, Data Collection, * 6+ years of experience as a Systems Engineer

 * A Bachelor's degree in Computer Science or a related discipline from an accredited institution. Five (5) additional years of experience may be substituted in lieu of a degree.
 * Demonstrated experience leading agile development ceremonies
 * Experience developing and updating technical documentation
 * An active TS/SCI with Polygraph level of security clearance

## Description

We're looking for a Systems Engineer with strong project management skills to provide the engineering and project management for end-to-end data flows in support of Data Transformation Solutions. The successful candidate will be able to elicit and refine requirements, schedule work breakdown to deliverables, document artifacts, and provide roadmaps and schedules for implementing end-to-end data flows, including transformation into a standard data model. The individual will form good customer relationships and reach out to external customers for requirements and understanding of the data and the data needs of the users. They will have a good understanding of the customer data flow architecture and will work as a key contributor in an agile development environment.

In addition, the candidate shall have:

 * Working knowledge of data collection and processing through analysis or data flow engineering.
 * General understanding of how data is processed and the necessary steps to stand up a new data flow.