Data Engineer

KBR, Inc. • Chantilly, VA

12d • Onsite

About The Position

The Data Scientist supports advanced analytics and data-driven decision-making for Space and Counterspace intelligence missions. This role focuses on developing models, algorithms, and analytical tools to extract insights from large, complex, and multi-source datasets related to space domain awareness and adversary capabilities. The position involves working with both structured and unstructured data to identify patterns, anomalies, and emerging threats. The Data Scientist collaborates with analysts, engineers, and mission partners to translate intelligence questions into scalable analytic solutions. This role operates in a classified environment supporting national security objectives with cutting-edge data science techniques.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative field
• Experience in data science, analytics, or a related technical discipline (academic research and internships may be considered)
• Proficiency in programming languages such as Python or R
• Experience with data analysis libraries and tools (e.g., Pandas, NumPy, SciPy, or similar)
• Active Top Secret/SCI security clearance With Polygraph
• Strong software development background (Python, R, Java)
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with software development lifecycle (SDLC) practices
• API design and development experience
• Test-driven development or equivalent quality practices

Nice To Haves

• Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn)
• Familiarity with big data platforms and tools (e.g., Hadoop, Spark, or distributed computing environments)
• Exposure to geospatial analytics, space domain awareness, or intelligence-related datasets
• Astrodynamics or orbital mechanics familiarity (or experience with STK)
• Time-series analysis
• NLP/text analytics
• Cloud platforms (AWS GovCloud)
• Containerization (Docker, Kubernetes)
• CI/CD and DevSecOps experience
• Experience with IC data environments or tools
• Experience transitioning prototype models to operational production pipelines

Responsibilities

• Develop and implement statistical models, machine learning algorithms, and data analysis workflows to support mission objectives
• Analyze large, complex datasets from multiple intelligence sources to identify trends, anomalies, and actionable insights
• Build and maintain data pipelines, data transformation processes, and analytic tools
• Support integration of disparate data systems to enable comprehensive analysis across domains
• Develop visualizations, dashboards, and reporting tools to communicate analytic findings
• Apply data mining, predictive analytics, and pattern recognition techniques to space and counterspace problems
• Collaborate with engineers and analysts to refine requirements and operationalize data science solutions
• Document methodologies, models, and processes for reproducibility and mission continuity
• Ensure compliance with security, data governance, and classified environment requirements
• Perform code review and software quality testing
• Review and utilize RESTful APIs for data access
• Apply software design patterns, code review practices, and unit/integration testing
• Build and maintain CI/CD pipelines for data infrastructure
• Contribute to infrastructure-as-code (Terraform, Ansible)

Benefits

• We create diverse, inclusive environments in which each person can feel safe, respected and valued, and where everyone has opportunities to grow and reach their full potential.
• We are uncompromising in our commitment to deliver innovative, high-quality, technology-led solutions for our customers and exceptional, sustainable value for all our stakeholders.
• We value honesty, trust, courage, fairness, prudence and tenacity.
• We believe doing what’s right for the planet, the communities where we work, and our people is good for business.
• We empower our people with a shared purpose, the right tools and the supportive culture they need to be proactive decision-makers, to be adaptive to change, and to succeed.
• We have a will to succeed, but we value the achievements of our team of teams over individual accomplishments.
• Our collective focus makes us a better, stronger, more effective company.
• We have also embedded environmental, social and governance (ESG) principles in every business operation and corporate function.
• Not only are we committed to operating safely, sustainably and equitably, but we are also committed to using our capabilities and expertise to help our customers accomplish their sustainability goals.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level