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# Data Engineer

- **Company:** KBR Inc
- **Location:** McLean, VA, United States
- **Experience:** Expert
- **Salary:** $145,800.0 - $178,200.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Data Analysis, Microsoft Azure, Big Data, Cloud Computing, Data as a Services, Information Engineering, Digital Architecture, Intelligence Analysis, Machine Learning, Cloud Services, Software Engineering, Software Systems, Unstructured Data, Computer Equipment, Information Technology, Data Management
- **Published:** June 23, 2026
- **Apply:** https://dejobs.org/x/x/AF15F30CCB8B440099621B20EBB3AB3C/job/

## About the Role

KBR is seeking a Data Engineer to join our team. The Data Engineer utilizes diverse data-focused skills, experience, deep technical and analytical problem-solving, and team-centered solutions for complex problems to satisfy priority information-enabling operations that involve big data, Machine Learning and Artificial Intelligence. This position requires solid attributes for problem-solving, data analysis, troubleshooting, analytical thinking, and experimentation, often under time-sensitive decisions., * At least six (6) years of experience specific to technical and programmatic integration or a related field

 * Experience with data services and big data
 * Experience in software engineering, design architecture, analyzing computer hardware and software solutions
 * Understanding of best practices regarding data management
 * Bachelor's Degree in Information Technology, Computer Science or related discipline (STEM)
 * Active TS/SCI clearance is required

Desired Qualifications:

 * Experience with intelligence analysis and intelligence products
 * Cloud certification (Azure or AWS)
 * Master's Degree in Computer Science, Software Engineering or related STEM field

## Description

* Provide data engineering expertise to design and deliver data services for complete mission systems (infrastructure/platform/applications/process) solutions
 * Identify best practices for data services monitoring and management
 * Collaborate with scientists, engineers, program managers, and analysts to understand capabilities of IC programs
 * Research emerging big data and data services technologies to support cloud apps and maintain cloud services
 * Establish standard policy and compliance metrics by which data management will be monitored, corrective responses issued, and reported
 * Uses scientific methods, processes, algorithms, and systems to extract insights from structured and unstructured data
 * Review performance and cybersecurity monitoring framework
 * Deliver information papers proposing emergent big data technology and best practices


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