Job Description

Title:

Belong. Connect. Grow. with KBR!

KBR is seeking highly motivated Senior Data Visualization Engineer to design and develop advanced data visualization solutions supporting satellite communications (SATCOM), network operations, and engineering analysis. This role will transform complex operational, engineering, and machine learning outputs into intuitive dashboards, reports, and analytical applications that enable executive, engineering, and operational stakeholders to aid senior leaders make data-driven decisions.

The ideal candidate combines strong data visualization and software development skills with deep SATCOM domain expertise and the ability to integrate and interact with Statistical/Machine Learning (SML) models. This position requires close collaboration with systems engineers, data scientists, network engineers, software developers, and program leadership.

The MILSATCOM Systems Engineering, Integration, and Test (MSEIT) effort provides leading edge Systems Engineering & Integration (SE&I) for the US Space Force’s Space Systems Center (SSC). We support the Space Force’s acquisition of state of the art satellite communications systems, providing global secure, survivable, and protected communications for our nation’s warfighters. We seek technical individuals who will thrive in a highly collaborative work environment of small teams, using the most modern tools and methodologies to tackle the challenges of integrating complex space and ground communications systems.

Responsibilities:

Data Visualization & Analytics

• Develop interactive dashboards, visual analytics platforms, and automated reporting solutions using modern visualization technologies.
• Translate complex engineering, telemetry, network performance, and operational datasets into actionable visual insights.
• Design visualizations that support real-time monitoring, trend analysis, anomaly detection, predictive analytics, and executive reporting.
• Establish visualization standards, best practices, and governance across programs and teams.

AI/ML and SML Model Integration

• Design visual interfaces that expose model predictions, confidence intervals, explainability metrics, and performance indicators.
• Develop user-facing analytics that enable engineers and operators to interact with, evaluate, and refine AI/ML-driven insights.
• Support validation, interpretation, and communication of machine learning outcomes to technical and non-technical stakeholders.
• Collaborate with data scientists and machine learning engineers to operationalize outputs from Statistical and Machine Learning (SML) models.

Technical Leadership

• Work across multidisciplinary engineering teams to define visualization requirements and analytic workflows.
• Guide architecture decisions for data pipelines and visualization environments.
• Mentor junior engineers and analysts in visualization and analytics best practices.
• Support customer demonstrations, reviews, and technical presentations.

Required:

• Ability to obtain a Secret clearance is required to be considered for this position
• Bachelor’s degree in engineering, computer science, or similar technical field
• 5+ years of experience in data visualization, analytics, software engineering, or related technical fields.
• Demonstrated experience developing dashboards and visual analytics solutions.
• Experience working with large, complex datasets in operational or engineering environments.
• Demonstrated organizational management capability with ability to handle competing priorities
• Proficiency with one or more visualization platforms:
  • Power BI
  • Tableau
  • Grafana
  • Plotly/Dash
  • D3.js
  • Similar enterprise visualization tools
• Experience with Python, SQL, and data analytics frameworks.
• Knowledge of digital engineering and Model-Based Systems Engineering (MBSE) environments.
• Understanding of machine learning concepts, model evaluation, and predictive analytics.
• Experience working with cloud-based or distributed analytics environments.
• Strong interpersonal skills, communication (oral and written), and presentation skills
• Demonstrated ability to clearly articulate ideas, recommendations and options to customers, senior leaders, and stakeholders

Preferred:

• Active DoW Secret clearance or higher
• 3+ years demonstrated experience with MILSATCOM, such as AEHF, EPS, PTES, PTS, WGS, and FAB-T terminal programs
• Experience working with military or DoD civilian clients
• Experience with ground and airborne systems, such as terminals and networks
• Certifications in Systems Engineering (INCOSE ESEP, CSEP)
• Knowledge and experience in Jira and Confluence
• Experience integrating or interacting with Statistical and Machine Learning (SML) models and AI-driven analytics.

Basic Compensation: $127,000 - $158,600 in El Segundo, CA and $116,000 - $144,800 in Colorado Springs, CO

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

Ready to Make a Difference? If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team.

KBR Benefits

KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development.

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.