Data Engineer

KBR Inc
Chantilly, VA, United States
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

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
+22 more
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

Job 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 *

Requirements

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 *

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