Full Stack Developer (UI & Data Analytics) | TS/SCI

📍 Job Overview

Job Title: Full Stack Developer (UI & Data Analytics) | TS/SCI

Company: Xcellent Technology Solutions

Location: Springfield, Virginia, United States

Job Type: Full-time

Category: Revenue Operations / Sales Operations / GTM Operations (Inferred from Data Analytics & UI focus for analyst-facing applications)

Date Posted: April 14, 2026

Experience Level: 5-10+ Years (depending on education)

Remote Status: On-site

🚀 Role Summary

• This role requires a Full Stack Developer to design, build, and maintain analyst-facing applications that transform complex, large-scale datasets into intuitive, actionable insights for critical intelligence operations.

• Collaborate directly with data scientists and end-users to develop and enhance web-based solutions that support advanced analytics workflows, contributing to the National Geospatial-Intelligence Agency's (NGA) mission.

• Leverage full-stack development skills to create responsive user interfaces, integrate backend services and databases, and deliver scalable solutions within a secure, production-focused environment.

• Focus on the intersection of user experience (UX), data engineering, and mission impact, directly supporting critical intelligence decisions and national security objectives.

📝 Enhancement Note: While the title is "Full Stack Developer," the emphasis on "Data Analytics," "analyst-facing applications," and transforming "complex, large-scale datasets into intuitive, actionable insights" strongly suggests a role that bridges traditional software development with operational intelligence and decision support. This aligns with the broader GTM/Revenue/Sales Operations principles of leveraging data for strategic decision-making and improving user (in this case, analyst) efficiency and effectiveness. The TS/SCI clearance and NGA support context indicate a high-impact, secure environment.

📈 Primary Responsibilities

• Design, develop, and deploy end-to-end web applications that translate complex data into actionable intelligence for NGA analysts.

• Build and enhance responsive, data-driven user interfaces for image display, time-series analysis, geospatial/map visualizations, and structured/free-text user inputs.

• Integrate backend systems using Oracle databases and REST APIs for robust data read and write operations, ensuring data integrity and accessibility.

• Collaborate closely with data scientists to operationalize machine learning models and concepts within user-facing applications, considering ethical AI implications.

• Gather and incorporate user feedback iteratively to refine application design and functionality, ensuring alignment with end-user needs and mission objectives.

• Develop and maintain user management functionalities within enterprise applications, ensuring secure access and role-based permissions.

• Implement and manage automated build and deployment processes utilizing GitLab and CI/CD pipelines for efficient software delivery.

• Work with data visualization tools like Tableau or similar platforms to create dashboards and reports that support analytics and decision-making processes.

📝 Enhancement Note: The responsibilities highlight a strong focus on translating complex data into user-friendly interfaces and actionable insights, a core function within operations roles that aim to drive efficiency and informed decision-making. The emphasis on collaboration with data scientists and end-users is crucial for understanding operational needs and delivering effective solutions.

🎓 Skills & Qualifications

Education:

• Bachelor's degree with 7+ years of relevant experience, OR

• Master's degree with 5+ years of relevant experience, OR

Experience:

• Proven experience in developing and maintaining web-based applications, with a focus on supporting large-scale data analytics workflows.

• Demonstrated ability to gather and incorporate user feedback, engaging effectively with diverse stakeholder groups across multiple user communities.

• Experience in operationalizing machine learning concepts, including an understanding of common use cases and ethical considerations.

• Practical experience building data visualization interfaces for various data types (image, time-series, geospatial, text).

• Hands-on experience integrating backend systems with Oracle databases and REST APIs.

• Proficiency in programming languages such as Python, JavaScript/TypeScript, and SQL.

• Experience utilizing data visualization tools like Tableau or comparable platforms.

• Experience implementing user management features in web or enterprise applications.

Required Skills:

• Active TS/SCI clearance is mandatory.

• Full-stack web development expertise.

• Strong programming skills in Python, JavaScript/TypeScript, and SQL.

• Data analytics and visualization capabilities.

• Experience with Oracle databases and REST API integrations.

• User Interface (UI) design and development for data-intensive applications.

• Familiarity with CI/CD principles and tools (e.g., GitLab).

Preferred Skills:

• Familiarity with cloud platforms such as AWS or Azure.

• Experience integrating generative AI capabilities into web applications.

• Experience with Palantir Foundry or similar data integration/analytics platforms.

• Experience with React.js and/or Plotly Dash for interactive application development.

• Expertise in creating custom graphics or advanced visualizations for analytical tools.

📝 Enhancement Note: The educational flexibility (experience in lieu of degree) is common in technical roles, especially within government contracting. The emphasis on collaboration, user feedback, and translating data into actionable insights are key operational competencies. The blend of UI, data analytics, and backend integration points to a role that supports operational efficiency by making complex data accessible and useful.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase of end-to-end full-stack development projects, highlighting contributions to both UI and backend logic.

• Demonstrations of how applications have transformed complex datasets into actionable insights or improved user workflows.

• Examples of integrating with databases (like Oracle) and APIs (RESTful).

• Projects that illustrate experience with data visualization, particularly for geospatial, time-series, or image data.

Process Documentation:

• Documented experience with CI/CD pipelines, including setup, maintenance, and optimization for automated builds and deployments.

• Examples of user management system design and implementation within web applications.

• Workflow documentation illustrating the process from data ingestion/integration to user-facing visualization and analysis.

• Evidence of understanding and applying machine learning concepts in a practical, operational context.

📝 Enhancement Note: For a role focused on developing analyst-facing applications, a portfolio should clearly demonstrate the ability to bridge technical development with user needs and data utilization. This is analogous to operations roles that build dashboards or automate processes – the output needs to be functional, user-friendly, and drive tangible results.

💵 Compensation & Benefits

Salary Range:

Given the TS/SCI clearance requirement, the specialized skills in full-stack development, data analytics, and specific technologies (Python, JavaScript, SQL, Oracle, REST APIs, Tableau, GitLab, CI/CD), and the location in Springfield, VA (a high cost of living and high demand for cleared professionals), the estimated salary range for a Full Stack Developer with 5-10+ years of experience would be between $130,000 - $180,000 per year.

Explanation:

This estimate is based on industry benchmarks for cleared software developers in the Washington D.C. metropolitan area, factoring in the specific technical stack and the critical nature of the work supporting NGA. Roles requiring TS/SCI clearance typically command a premium due to the specialized vetting process and high demand. The experience level (5-10+ years) further supports this range. Data sources considered include industry salary surveys for software engineers, government contracting salary data, and cost of living indices for Northern Virginia.

Benefits:

• Flexible healthcare, dental, and vision plans.

• Paid time off (PTO) and 11 federal holidays, providing ample rest and work-life balance.

• Matching 401(k) plan to support long-term financial planning and retirement savings.

• Comprehensive insurance coverage: short-term and long-term disability, life insurance, cancer insurance, and even pet insurance, demonstrating a commitment to employee well-being.

Working Hours:

• Standard full-time hours, likely aligning with government contracting expectations (e.g., 40 hours per week).

• While on-site, the culture may offer some flexibility within core business hours, common in project-driven environments.

📝 Enhancement Note: The salary range is a critical factor for operations professionals. The estimation here is based on the high demand for cleared technical talent in the DC area, combined with the specific skill set required. Benefits are also a key differentiator, and XTS offers a robust package.

🎯 Team & Company Context

🏢 Company Culture

Industry: Technology / Government Contracting / Intelligence Support. Xcellent Technology Solutions (XTS) specializes in providing advanced technical solutions to government agencies, particularly within the defense and intelligence sectors. Their work often supports critical national security missions.

Company Size: XTS is a veteran-owned company, implying a culture that values discipline, mission focus, and teamwork. The specific size isn't detailed, but typical government contractors in this space range from mid-sized to large enterprises, suggesting opportunities for both impact and structured career paths.

Founded: Founded in 2008, XTS has established a solid track record of supporting complex government programs, indicating stability and experience in the federal contracting landscape.

Team Structure:

• Operations Team Context: This role is part of a team supporting the National Geospatial-Intelligence Agency (NGA), specifically within the Office of Eurasia (AOE). The team likely comprises a mix of data scientists, analysts, and developers working collaboratively.

• Collaboration Patterns: Expect close collaboration with data scientists to operationalize analytics and with end-users (analysts) to ensure applications meet critical operational needs. This cross-functional interaction is a hallmark of effective GTM/Ops teams.

• Reporting: The developer will likely report to a technical lead or program manager overseeing the NGA support contract, with direct interaction with project stakeholders.

Methodology:

• Data-Driven Development: The role inherently involves working with large datasets and transforming them into actionable insights, reflecting a data-driven approach.

• Agile/Iterative Development: The emphasis on gathering user feedback and iterative refinement suggests an agile or agile-like development methodology.

• Secure Development Practices: Given the TS/SCI requirement and NGA support, secure coding practices and adherence to strict security protocols will be paramount.

Company Website: http://www.xcellenttechnologysolutions.com

📝 Enhancement Note: Understanding the company's mission and the context of supporting a critical government agency like NGA is vital. This environment often demands high levels of precision, security, and a strong sense of purpose, which resonates with operational roles focused on driving strategic outcomes.

📈 Career & Growth Analysis

Operations Career Level: This role represents a senior-level Full Stack Developer position with a strong focus on data analytics and user-facing application development within a mission-critical government sector. It's a hands-on technical role with significant responsibility for delivering impactful solutions.

Reporting Structure: The developer will likely report to a Project Manager or Technical Lead within the Xcellent Technology Solutions team assigned to the NGA contract. They will work closely with a cross-functional team including data scientists and end-users (analysts).

Operations Impact: The impact of this role is direct and significant: by creating intuitive applications that translate complex data into actionable intelligence, the developer directly supports intelligence operations and decision-making for national security. This is akin to how Sales/Revenue Ops enable sales teams with better data and tools to close deals or improve customer retention.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific areas like geospatial visualization, advanced UI development (React.js, Plotly Dash), cloud platforms (AWS/Azure), or emerging AI technologies.

• Leadership Development: Opportunities to mentor junior developers, lead technical initiatives, or transition into technical lead or architect roles on government projects.

• Domain Expertise: Develop specialized knowledge in intelligence analysis, geospatial data, and NGA mission requirements, becoming a valuable subject matter expert.

• Career Advancement: Potential to move into program management, systems engineering, or other senior technical roles within XTS, particularly on other government contracts.

📝 Enhancement Note: For operations professionals, understanding the potential career trajectory is key. This role offers a clear path for technical growth and specialized expertise within a high-demand sector, mirroring progression paths in ops from analyst to manager to strategic advisor.

🌐 Work Environment

Office Type: On-site in Springfield, VA. This indicates a traditional office environment, likely within a secure government facility or a contractor office designed to meet federal security requirements.

Office Location(s): Springfield, Virginia. This location is part of the Northern Virginia tech corridor, offering access to major government facilities and a robust ecosystem of technology companies and talent.

Workspace Context:

• Collaborative Environment: The role requires close collaboration with data scientists and end-users, suggesting a team-oriented workspace that facilitates communication and joint problem-solving.

• Tools & Technology: Expect access to modern development tools, secure computing environments, and potentially specialized hardware or software relevant to geospatial intelligence and data analytics.

• Security: The work environment will be highly secure, requiring adherence to strict protocols due to the TS/SCI clearance and classified nature of the information.

Work Schedule:

• Standard full-time (40 hours/week) on-site. While core hours likely exist, project demands might occasionally require flexibility. The emphasis on mission success suggests a dedicated work ethic.

📝 Enhancement Note: The on-site requirement and secure environment are critical considerations. For operations roles, the workspace often impacts collaboration and access to resources; here, it emphasizes a dedicated, secure, and mission-focused setting.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application, likely conducted by HR or a recruiter, focusing on clearance status and core technical requirements.

• Technical Interview(s): Expect one or more technical interviews to assess your full-stack development skills, problem-solving abilities, and experience with the required technologies (Python, JavaScript, SQL, APIs, databases, CI/CD). This may include coding challenges or system design discussions.

• Data Analytics & UI Focus: Specific questions will probe your experience in building data-driven UIs, visualizing complex data, and integrating analytics workflows. Be prepared to discuss specific examples of how you translated data into user-friendly interfaces.

• Behavioral/Situational Interview: Assess your ability to collaborate with data scientists and end-users, gather requirements, handle feedback, and work within a secure, mission-critical environment. Questions about your understanding of machine learning concepts and ethical AI will be relevant.

• Security & Clearance Verification: Confirmation of your active TS/SCI clearance will be a critical part of the process.

Portfolio Review Tips:

• Highlight Data-to-Insight: Specifically showcase projects where you built applications that transformed raw data into actionable intelligence or improved analytical processes for users.

• Demonstrate Full-Stack Capability: Present projects that clearly illustrate your contributions across the entire stack, from UI design and front-end development to backend integration and database interaction.

• Showcase Visualization Skills: Include examples of complex data visualizations (geospatial, time-series, image data) and explain the technical approach and the value they provided to users.

• Detail Collaboration: For each project, describe your role, how you collaborated with data scientists or end-users, and how user feedback influenced the development process.

• CI/CD Integration: If possible, include examples or descriptions of how you've implemented or worked within CI/CD pipelines for efficient deployment.

Challenge Preparation:

• Coding Challenges: Be prepared for practical coding exercises focusing on Python, JavaScript, or SQL, potentially involving data manipulation or API interaction.

• System Design: You might be asked to design a system for a specific data analytics use case, focusing on architecture, data flow, and technology choices.

• Data Visualization Scenarios: Practice explaining how you would approach visualizing specific types of complex data (e.g., large geospatial datasets, real-time sensor feeds) for an analyst audience.

📝 Enhancement Note: For operations roles, the ability to translate requirements into functional solutions and demonstrate impact is paramount. This interview prep emphasizes showcasing that capability through project examples and technical discussions.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python, JavaScript/TypeScript, SQL. Proficiency in these is essential for full-stack development and data manipulation.

• Backend Integration: Experience with REST APIs for seamless data exchange between services.

• Databases: Oracle databases for data storage and retrieval.

• Version Control: GitLab for code management, collaboration, and workflow tracking.

• CI/CD: Familiarity with Continuous Integration/Continuous Deployment pipelines for automated build, test, and deployment processes.

Analytics & Reporting:

• Data Visualization Tools: Tableau or similar platforms for creating dashboards and reports that support analytics and decision-making.

• Custom Visualizations: Experience creating bespoke graphics or advanced visualizations for analytical tools.

CRM & Automation:

• Cloud Platforms (Desired): Familiarity with AWS or Azure cloud environments for potential deployment or service integration.

• Analytics Platforms (Desired): Experience with Palantir Foundry or similar integrated data analysis and visualization platforms.

• Frontend Frameworks (Desired): React.js and/or Plotly Dash for developing interactive and dynamic web applications.

📝 Enhancement Note: The technology stack is critical for operations professionals. This section outlines the core tools required, emphasizing practical application in data handling, UI development, and deployment automation, which are foundational to many operations roles.

👥 Team Culture & Values

Operations Values:

• Mission Success: A paramount value, reflecting the critical nature of supporting national security and intelligence missions. This translates to a focus on reliability, accuracy, and delivering high-quality solutions.

• Collaboration & Teamwork: Essential for working effectively with data scientists, analysts, and other developers in a secure, mission-focused environment.

• Innovation & Adaptability: The desire to integrate new technologies like AI and adapt to evolving data and intelligence requirements.

• Integrity & Security: Upholding the highest standards of security and ethical conduct due to the sensitive nature of the work and required clearance.

• Professional Growth: A commitment to ongoing learning and development, as evidenced by the company's stated investment in employee advancement.

Collaboration Style:

• Cross-Functional Integration: Expect a highly integrated team environment where developers, data scientists, and analysts work closely together to define requirements, build solutions, and iterate based on feedback.

• Data-Centric Approach: Decisions and development efforts will be heavily influenced by data analysis and the goal of extracting maximum value from complex datasets.

• Feedback-Driven Improvement: A culture that values constructive feedback from end-users and team members to continuously improve applications and processes.

📝 Enhancement Note: Understanding team culture and values is crucial for fit. For operations roles, a collaborative, data-driven, and mission-oriented culture is often a strong indicator of success and job satisfaction.

⚡ Challenges & Growth Opportunities

Challenges:

• Security & Compliance: Navigating and adhering to stringent security protocols and compliance requirements inherent in working with classified information and TS/SCI clearances.

• Complex Data Integration: Working with large, diverse, and potentially non-standardized datasets requires robust data engineering and integration skills.

• Translating Analyst Needs: Effectively translating the complex, often nuanced, requirements of intelligence analysts into functional and intuitive software solutions.

• Rapid Technological Evolution: Keeping pace with advancements in AI, data analytics, and web technologies to maintain cutting-edge solutions.

Learning & Development Opportunities:

• Specialized Technical Skills: Gaining deep expertise in areas like advanced geospatial visualization, machine learning operationalization, or cloud-native development within secure environments.

• Domain Expertise: Becoming an expert in intelligence analysis, NGA operations, and the specific data domains relevant to the Office of Eurasia.

• Exposure to AI/ML: Hands-on experience integrating and deploying AI/ML models and potentially generative AI into operational applications.

• Career Progression: Opportunities to move into technical leadership, project management, or specialized engineering roles within XTS's government contracting portfolio.

📝 Enhancement Note: Identifying challenges and growth opportunities is key for career planning. This role presents unique challenges related to security and data complexity but offers significant rewards in terms of specialized skill development and impactful work.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you built a web application that transformed complex data into actionable insights for end-users. What was your process, what challenges did you face, and what was the outcome?" (Focus on the data-to-insight pipeline, user-centric design, and quantifiable impact.)

• "How would you approach designing a user interface for visualizing large geospatial datasets for intelligence analysts? What technologies would you consider and why?" (Demonstrate understanding of geospatial visualization, UI/UX principles, and relevant technologies.)

• "Walk me through your experience with CI/CD pipelines. How have you used GitLab or similar tools to automate builds and deployments, and what benefits did it bring?" (Highlight process automation, efficiency gains, and technical proficiency.)

Company & Culture Questions:

• "What interests you about supporting the NGA and the Office of Eurasia specifically?" (Research NGA's mission and the AOE's role. Connect your skills to their objectives.)

• "How do you ensure the security and integrity of applications when working with sensitive data and requiring a TS/SCI clearance?" (Emphasize your understanding of security best practices and compliance.)

Portfolio Presentation Strategy:

• Storytelling: Frame your portfolio projects as narratives – what was the problem, what was your solution, how did you implement it, and what was the impact?

• Quantify Impact: Whenever possible, use metrics to demonstrate the value of your work (e.g., "improved data processing time by X%", "enabled analysts to identify Y insights faster").

• Technical Depth: Be prepared to discuss the technical architecture, specific coding choices, and challenges related to data integration, UI implementation, and API usage.

• User Focus: Continuously emphasize how your technical decisions served the end-user (the analyst) and contributed to mission success.

📝 Enhancement Note: Interview preparation for operations-adjacent roles should focus on problem-solving, data utilization, and stakeholder management. This section provides specific questions and strategies tailored to the Full Stack Developer role with a strong data analytics component.

📌 Application Steps

To apply for this operations-aligned developer position:

• Submit your application directly through the provided link on xtscareers.applytojob.com or by sending your resume to Antoine Thomas at antoine.thomas@xts-inc.com.

• Tailor your resume to highlight experience with Python, JavaScript, SQL, REST APIs, Oracle databases, data visualization (Tableau), CI/CD, and any experience with geospatial or time-series data analysis. Explicitly mention your active TS/SCI clearance.

• Prepare your portfolio to showcase projects demonstrating full-stack development, data-to-insight transformations, and user interface design for analytical applications. Be ready to discuss your process and impact.

• Research Xcellent Technology Solutions and the National Geospatial-Intelligence Agency (NGA) to understand their missions and how your role contributes to national security objectives.

• Practice articulating your experience with specific examples related to the primary responsibilities and desired skills, especially regarding collaboration with data scientists and end-users.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.