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# Data Engineer

- **Company:** KBR Inc
- **Location:** Chantilly, VA, United States
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Business Analytics Applications, Data Analysis, Software Quality, Code Review, Data Governance, Data Infrastructure, Data Transformation, Data Mining, Data Security, Data Systems, Software Design Patterns, R (Programming Language), Python (Programming Language), Machine Learning, NumPy, Pattern Recognition, Systems Development Life Cycle, Ansible, SciPy, Software Engineering, Test-Driven Development (TDD), Pandas, Containerization, Integration Tests, Kubernetes, Information Technology, Data Analytics, Tools for Reporting, Api Design, Restful APIs, Terraform, Data Pipelines, Docker
- **Published:** August 9, 2026
- **Apply:** https://us.experteer.com/career/view-jobs/data-engineer-chantilly-va-usa-58868363

## About the Role

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) Tasks * Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related quantitative aaar
_ * Experience in data science, analytics, or a related technical discipline * Proficiency in Python or R * Experience with data analysis libraries (Pandas, NumPy, SciPy) * Active Top Secret/SCI security clearance With Polygraph * Strong software development background (Python, R, Java) * Experience with containerization and orchestration (Docker, Kubernetes) * Familiarity with SDLC practices * API design and development experience * Test-driven development or equivalent quality practices Key requirements *

## Description

Experteer Overview In this role, you will apply data science methods to extract insights from complex, multi-source datasets supporting space and counterspace intelligence missions. You will build scalable analytic solutions, data pipelines, and tools in a classified environment to drive mission objectives. You collaborate with analysts and engineers to translate intelligence questions into actionable models and dashboards. Your work shapes how cross-functional teams make data-driven decisions while upholding security and governance. This is a mission-driven, technically diverse opportunity at scale. Compensation / Benefits * 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) Tasks * 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 * Proficiency in Python or R * Experience with data analysis libraries (Pandas, NumPy, SciPy) * Active Top Secret/SCI security clearance With Polygraph * Strong software development background (Python, R, Java) * Experience with containerization and orchestration (Docker, Kubernetes) * Familiarity with SDLC practices * API design and development experience * Test-driven development or equivalent quality practices Key requirements *


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