Data Engineer

The Data Engineer will support a government customer in enabling priority information operations through data engineering and analytical problem solving. The role emphasizes automation and optimization of data products, statistical reasoning, software development, and the ability to assemble technical data packages from multiple source types.

Location and Work Model

• Chantilly, VA
• Onsite

Salary

• USD 100,000 - 124,400 per year
• Rate is determined based on the selected candidate’s knowledge, skills, abilities, and/or experience, and in consideration of internal parity

Responsibilities

• Develop and implement methods of automation and optimization for data and products to present outputs 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 defined 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

Required Qualifications

• Understanding of statistical analysis, including regression, anomaly detection, and clustering
• Effective communication skills to relay 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 software development experience, including 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

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 in analytical tool development, identification, and integration
• Master’s degree in an engineering or science related field

Technologies

• Python
• Excel
• AWS

Security Requirements

• Active TS/SCI security clearance with Poly

Travel

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

Additional Compensation

• Bonuses, commissions, or other compensation may be offered for certain job titles or levels 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