Title:

KBR is seeking a Data Engineer to support one of our government customers in Reston, Virginia. The Data Engineer utilizes a diverse range of data-focused skills, experience, deep technical and analytical problem solving, and team-centered solutioning for complex problems to satisfy priority information enabling operations. This position requires strong attributes for problem solving, data analysis, troubleshooting, analytical thinking, and experimentation, often under time sensitive decisions.

Required Qualifications:

• Develop and implement methods of automation and optimization of data and productsto present to upper management
• Demonstrate understanding of statistical analysis such as regression, anomaly detection and clustering
• Demonstrate effective communication skills to relay data science activities, technical findings, and data products for both technical and non-technical customers
• Ability to combine a diverse set of data sources containing multiple forms of information including, but not limited to, Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to provide technical information to produce data packages
• Ability to elicit and define system requirements, track progress against defined milestones to ensure completion, and evaluate test results to validate system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and writing technical documentation.
• Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics
• 5+ years of progressive, relevant work experience.

Preferred Qualifications:

• Hands-on experience leveraging modern data analysis and engineering tools (e.g. Python, Excel, AWS) to process, analyze, and visualize data, enabling efficient insight generation and decision support.
• Knowledge of National Intelligence Agencies and Department of Defense elements
• Familiarity with the space domain, including orbital mechanics, satellite systems, space-based sensors and associated operational concepts.
• Familiarity with Agile processes.
• Advanced Statistical knowledge and analysis methods (e.g., Bayesian Statistics, multivariate analysis, machine learning techniques)
• Experience in analytical tool development, identification, and integration
• Master's degree in anengineering or science related field

Security Requirements: Active TS/SCI security clearance w/ Poly

Travel: CONUS and OCONUS travel may be required. (10%)