Data Engineer

Join Trinzic as a Data Engineer supporting a government customer in Chantilly, VA. This onsite role focuses on building and improving data products through automation and optimization, combining multiple data sources to deliver technical data packages for priority information operations. You will apply analytical problem solving, statistical understanding, and production software development to help teams meet defined milestones and validate system performance.

Responsibilities

• Develop and implement automation and optimization methods for data and data products to present results to upper management.
• Combine diverse data sources, including Open Source, Publicly Available Information (PAI), Commercially Available Information (CAI), and intelligence records, to produce technical data packages.
• Elicit and define system requirements, track progress against milestones to ensure 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

• 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 against system performance and acceptance criteria.
• Demonstrated ability to design, develop, and maintain software solutions: production-quality code, 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 (Python, Excel, 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, including 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

• $100,000 to $124,400 per year.
• Offer rate depends on the selected candidate’s knowledge, skills, abilities, and/or experience, with consideration of internal parity.
• KBR may offer bonuses, commissions, or other forms of compensation per internal policy or contractual designation.
• Additional compensation may include sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance.

Security and Travel

• Active TS/SCI security clearance with Poly required.
• CONUS and OCONUS travel may be required (10%).