Data Engineer

The Data Engineer role supports a government customer by applying data engineering and analytical problem-solving to enable priority information operations. This position focuses on automating and optimizing data products, understanding statistics, developing software solutions, and combining multiple data sources to produce technical data packages.

Responsibilities

• Develop and implement methods for automation and optimization of data and products intended for review by upper management.
• Combine diverse data sources that may include Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records to produce data packages.
• Elicit and define system requirements, track progress against defined milestones to support on-time completion, and evaluate test results to validate system performance and acceptance criteria.
• Design, develop, and maintain software solutions, including writing production-quality code, managing version-controlled repositories, and producing technical documentation.

Requirements

• Demonstrated understanding of statistical analysis, including regression, anomaly detection, and clustering.
• Effective communication skills to convey data science activities, technical findings, and data products to both technical and non-technical customers.
• Ability to elicit and define system requirements, track progress against defined milestones, and evaluate test results to validate system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions, including production-quality coding, version-controlled repositories, and technical documentation.
• Bachelor of Science Degree in Science, Technology, Engineering, or Mathematics.
• 5+ years of progressive, relevant work experience.

Technologies

• Python
• Excel
• AWS

Preferred Qualifications

• Hands-on experience using modern data analysis and engineering tools (such as Python, Excel, and AWS) to process, analyze, and visualize data for 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, such as Bayesian Statistics, multivariate analysis, and machine learning techniques.
• Experience developing, identifying, and integrating analytical tools.
• Master’s degree in an engineering or science related field.

Compensation

Basic compensation: $100,000 to $124,400 per year. The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience, and in consideration of internal parity.

Additional compensation: KBR may offer bonuses, commissions, or other forms of compensation for certain job titles or levels per internal policy or contractual designation. Additional compensation may include sign-on bonuses, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

Security Requirements

• Active TS/SCI security clearance with Poly.

Travel

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