Data Engineer

KBR Inc

Chantilly, VA

JOB DETAILS
SKILLS
Academic Research, Algorithms, Analysis Skills, Apache Hadoop, Apache Spark, Application Programming Interface (API), Big Data, Code Reviews, Computer Science, Computer Security, Computer Systems, Continuous Deployment/Delivery, Continuous Integration, Data Analysis, Data Management, Data Mining, Data Science, Data Sets, Design Patterns Programming Methodologies, Distributed Computing, Environmental Regulations, Integrated Circuits (ICs), Integration Testing, Java, Machine Learning, Maintain Compliance, Mathematics, Pattern Matching, Predictive Modeling, Programming Languages, Prototyping, Python Programming/Scripting Language, R Programming Language, REST (Representational State Transfer), Reporting Dashboards, Requirements Management, Security Compliance, Software Design, Software Development, Software Development Lifecycle (SDLC), Software Testing, Statistical Modeling, Statistics, Structured Data, System Integration (SI), Trend Analysis, Unit Test, Unstructured Data, Workflow Analysis
LOCATION
Chantilly, VA
POSTED
17 days ago

Title:

Data Engineer

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.

Roles and 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)

Basic Qualifications

  • 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

Preferred Qualifications

  • 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

Belong, Connect and Grow at KBR

At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team's philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver - Together.

KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.

About the Company

K

KBR Inc

When you become part of the When you become part of the KBR team, your opportunities are endless. As a leading global technology, engineering, procurement and construction company serving the hydrocarbons and government services industries. For decades it has been the company that customers turn to for their most challenging assignments.

With operations in 40 countries, KBR has more than 25,000 people delivering services to customers in over 70 countries. Together they represent an unmatched reservoir of talent and experience in a wide range of markets.

Whatever the assignment, no matter how complex or demanding, KBR can marshal resources across every product line to respond quickly and effectively to changing markets and customer needs.

Whether it's providing the technology and consulting know-how to develop our customers' valuable assets; designing and constructing the infrastructure and facilities to develop energy resources in some of the world's more remote and challenging locations; providing support and services for men and women of their countries' armed forces; or navigating the intricacies of undertaking major projects in geopolitically or culturally sensitive environments, our clients depend on KBR because they know that We Deliver.

Join us and you'll be part of a dynamic, elite team of professionals who understand what it takes to get a job done and has the experience, knowledge and determination to succeed.”

COMPANY SIZE
10,000 employees or more
INDUSTRY
Construction - Industrial Facilities and Infrastructure
FOUNDED
1998
WEBSITE
https://www.kbr.com/en