KBR, Inc

Data Engineer

Reposted 11 Days Ago

Chantilly, VA, USA

In-Office

150K-181K Hourly

Mid level

Aerospace

The Role

Develop and operationalize statistical models, ML algorithms, and data pipelines for space and counterspace intelligence. Analyze multi-source datasets, build ETL and CI/CD pipelines, integrate disparate systems, produce visualizations and reports, and ensure software quality, security compliance, and reproducibility in a classified environment.

Summary Generated by Built In

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

Basic Compensation:

$$150,000 - $181,000

The offered rate will be based on the selected candidate’s knowledge, skills, abilities, and/or experience and in consideration of internal parity.

Additional Compensation:

KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels per internal policy or contractual designation. Additional compensation may be in the form of a sign-on bonus, relocation benefits, short-term incentives, long-term incentives, or discretionary payments for exceptional performance

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.

Skills Required

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or 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)
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 (RESTful APIs)
Test-driven development or equivalent quality practices

KBR, Inc Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about KBR, Inc and has not been reviewed or approved by KBR, Inc.

Healthcare Strength — Health coverage includes medical, dental, and vision plans, supplemented by life insurance, mental wellness resources, and a resilience program. Multiple plan options and added wellbeing tools bolster the core offering.
Retirement Support — Retirement programs feature a 401(k) with employer matching contributions alongside additional savings options. An Employee Stock Purchase Plan complements long‑term financial benefits.
Flexible Benefits — Work-life programs provide flexible schedules with options for part-time, remote, and “superflex” arrangements coordinated with managers. These flexible arrangements help tailor benefits to role and personal needs.