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: Software Development / Data Analytics / Government Contracting

Date Posted: April 14, 2026

Experience Level: 10+ Years (with degree flexibility)

Remote Status: On-site

🚀 Role Summary

• This role is a critical Full Stack Developer position focused on developing end-to-end applications for mission-critical intelligence operations, specifically supporting the National Geospatial-Intelligence Agency (NGA).

• The position requires a strong blend of UI development, data integration, and data analytics expertise to transform complex datasets into actionable intelligence for analysts and data scientists.

• Candidates will be responsible for understanding user needs, translating loosely defined analytic problems into functional applications, and integrating data pipelines, APIs, and databases.

• The role involves building interactive tools, dashboards, and visualizations that directly support real-world analytic workflows, emphasizing continuous refinement based on direct user feedback.

📝 Enhancement Note: While the title is "Full Stack Developer," the emphasis on "Data Analytics," "large, complex datasets," and "analytic workflows" strongly positions this role within the broader GTM (Go-to-Market) and Revenue Operations adjacent fields, particularly in how data is leveraged to drive insights and operational efficiency within a government contracting context. The "UI & Data Analytics" focus highlights the need for both robust backend data handling and intuitive frontend user experiences to facilitate data-driven decision-making.

📈 Primary Responsibilities

• Develop and maintain end-to-end full-stack applications that integrate data pipelines, APIs, and databases to support large-scale analytic workflows.

• Collaborate closely with intelligence analysts and data scientists to understand their data utilization needs and translate abstract analytic problems into concrete, functional software solutions.

• Design, build, and deploy interactive dashboards, visualizations, and user interfaces that effectively present complex datasets and analytical findings.

• Manage and process large, complex datasets, both structured and unstructured, ensuring data integrity and accessibility for analytical purposes.

• Integrate various data sources and systems, including but not limited to Oracle databases, through robust API development and data pipeline construction.

• Implement and utilize CI/CD pipelines within a GitLab environment to ensure efficient, reliable, and production-ready code delivery.

• Continuously iterate on application features and functionalities based on direct user feedback and evolving mission requirements, ensuring tools are practical and actionable.

• Develop and optimize geospatial or time-series data visualizations to enhance the analytical capabilities for intelligence operations.

📝 Enhancement Note: The responsibilities heavily emphasize translating user needs into technical solutions, a core tenet of operations roles that bridge the gap between business requirements and technical implementation. The focus on data pipelines, APIs, and databases is central to building scalable and efficient operational systems.

🎓 Skills & Qualifications

Education:

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

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

Experience:

• Proven experience in developing data-driven applications that support complex analytic workflows and meet real-world user needs.

• Demonstrated ability to translate abstract or loosely defined analytic problems into functional, user-facing applications.

• Extensive experience working with large, complex datasets, including both structured and unstructured data.

• Experience integrating data pipelines, APIs, and databases (e.g., Oracle) into cohesive application architectures.

Required Skills:

• Programming Languages: Strong proficiency in Python and SQL. Working knowledge of JavaScript/TypeScript for front-end development.

• Data Integration: Experience with data pipelines, API development, and database integration (specifically mentioning Oracle).

• Data Visualization: Experience building interactive data visualizations, including specialized types like image, time-series, or geospatial interfaces.

• Development Tools: Proficiency in GitLab and familiarity with CI/CD practices for streamlined development and deployment workflows.

• Analytical Problem Solving: Ability to understand and translate complex analytical requirements into functional software solutions.

• Collaboration: Proven experience working directly with analysts or data science teams to iterate on solutions and incorporate user feedback.

Preferred Skills:

• Cloud Platforms: Familiarity with AWS or Azure cloud environments.

• Generative AI: Experience integrating generative AI capabilities into web applications.

• Analytics Platforms: Experience with Palantir Foundry or similar advanced analytics and data integration platforms.

• Front-end Frameworks: Experience with React.js and/or Plotly Dash for building interactive user interfaces.

• Advanced Visualization: Experience creating custom or advanced data visualizations beyond standard charting.

📝 Enhancement Note: The experience requirements, particularly the emphasis on translating "loosely defined analytic problems" into "functional, user-facing applications," are highly relevant to operations roles focused on process improvement and system implementation. The blend of backend (Python, SQL, data pipelines) and frontend (JavaScript/TypeScript, UI) skills is characteristic of a full-stack operations technologist.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Showcase end-to-end application development projects that demonstrate proficiency in both backend data handling and frontend user interface design.

• Include case studies of applications developed to support analytical workflows, highlighting how data was integrated and presented to users.

• Provide examples of data pipelines, API integrations, and database interactions implemented within your projects.

• Demonstrate experience in translating user requirements or problem statements into functional application features and user experiences.

Process Documentation:

• Evidence of designing and implementing data pipelines for structured and unstructured data sources.

• Documentation of API integrations, detailing data flow, endpoints, and error handling strategies.

• Examples of database schemas or interaction patterns used to support application functionality.

• Workflow diagrams or descriptions illustrating how applications facilitate user analysis and data exploration.

• Case studies detailing the iterative development process, including how user feedback was gathered and implemented to optimize application performance and usability.

📝 Enhancement Note: For a role like this, a portfolio should not just be code samples but should illustrate the process of building solutions. This includes how requirements were gathered, how data was handled and transformed, how the UI was designed for usability, and how the solution addressed a specific analytical problem or operational need. Demonstrating a structured approach to development and problem-solving is key.

💵 Compensation & Benefits

Salary Range:

Given the specialized nature of the role, the TS/SCI clearance requirement, and the experience level (10+ years equivalent), the estimated salary range for a Full Stack Developer with UI & Data Analytics expertise in Springfield, VA, is $140,000 - $200,000 annually. This estimate is based on industry benchmarks for senior full-stack developers in the Washington D.C. metropolitan area, factoring in the premium for high-level security clearances and the specific technical demands of government contracting.

Benefits:

• Health & Wellness: Flexible healthcare, dental, and vision plans. Short- and long-term disability, life insurance, cancer insurance, and pet insurance.

• Retirement: Matching 401(k) plan to support long-term financial planning.

• Time Off: Generous Paid Time Off (PTO) and 11 federal holidays to ensure work-life balance.

• Professional Development: Ongoing professional development and advancement opportunities, including training and certifications.

Working Hours:

• Standard full-time hours, typically 40 hours per week. While the role is on-site, there may be some flexibility in daily start/end times depending on team needs and project deadlines, common in government contracting environments.

📝 Enhancement Note: The salary range is an estimation based on publicly available data for similar roles in the specified geographic region (Springfield, VA) with the critical requirement of an active TS/SCI clearance. This clearance significantly increases compensation due to demand and security vetting. The benefits listed are directly from the provided job description.

🎯 Team & Company Context

🏢 Company Culture

Industry: Government Contracting / Information Technology / National Security. Xcellent Technology Solutions (XTS) operates within the defense and intelligence sector, providing critical technology solutions to government agencies like the National Geospatial-Intelligence Agency (NGA). This industry demands high standards of performance, security, and mission focus.

Company Size: Xcellent Technology Solutions (XTS) is a veteran-owned company. While precise employee numbers aren't provided, the description "focused on mission success and professional growth" and "invest in our people" suggests a company that values its employees and fosters a supportive environment, likely mid-sized with dedicated teams for specific projects.

Founded: Information on the founding date is not provided, but the company's focus on mission success and professional growth implies a stable, established organization.

Team Structure:

• The role is part of a team supporting the National Geospatial-Intelligence Agency (NGA) within the Office of Eurasia (AOE).

• This team likely consists of developers, data scientists, intelligence analysts, and potentially project managers, working collaboratively to deliver actionable intelligence solutions.

• The reporting structure will likely involve a Project Lead or Program Manager within XTS, overseeing the team's deliverables to the government client.

Methodology:

• Data-Driven Development: Emphasis on using data to inform application design and functionality, and building tools that enable data-driven decision-making for analysts.

• Agile/Iterative Development: The mention of working with analysts to "continuously refine and improve the tools" suggests an agile or iterative development methodology, prioritizing user feedback and adaptability.

• Mission-Centric Approach: All development efforts are geared towards supporting specific national security missions, requiring a focus on reliability, security, and effectiveness.

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

📝 Enhancement Note: The company's veteran-owned status and focus on mission success are key cultural indicators. For operations professionals, this means an environment that values discipline, teamwork, and delivering tangible results, often under demanding conditions. The collaborative aspect with analysts and data scientists is crucial.

📈 Career & Growth Analysis

Operations Career Level: This is a Senior Full Stack Developer role, specifically focused on applying development skills to solve complex data and analytics problems within a government intelligence context. It's a hands-on technical role with significant impact, bridging the gap between raw data and actionable intelligence.

Reporting Structure: The developer will report to a lead within Xcellent Technology Solutions, likely a Project Manager or Technical Lead, who manages the team's deliverables to the NGA. Close collaboration will occur with NGA analysts and data scientists, who are key stakeholders and users of the developed tools.

Operations Impact: The role's impact is direct and significant: by creating effective tools, the developer empowers intelligence analysts to process and understand vast amounts of data more efficiently, directly contributing to national security decision-making and mission success. This is a high-impact area where operational efficiency through technology is paramount.

Growth Opportunities:

• Technical Specialization: Deepen expertise in specific areas like geospatial data visualization, AI integration, or cloud platforms (AWS/Azure).

• Leadership Development: Potential to grow into a Technical Lead or Architect role, guiding development efforts and mentoring junior developers.

• Cross-Functional Expertise: Gain in-depth knowledge of intelligence analysis workflows and data science methodologies, becoming a valuable bridge between technical teams and mission users.

• Professional Development: Company commitment to ongoing professional development suggests opportunities for training, certifications, and attending industry conferences.

• Advancement within Government Contracting: Opportunities to work on other high-impact projects within XTS or with other government agencies.

📝 Enhancement Note: For operations professionals, this role offers a path to specialize in highly technical areas that directly support critical mission outcomes. The growth opportunities are geared towards deepening technical expertise and potentially moving into leadership roles that manage complex technical projects within the government sector.

🌐 Work Environment

Office Type: The role is explicitly stated as "On-site" in Springfield, VA, supporting the NGA. This indicates a secure government facility or a contractor office space co-located with or supporting government operations.

Office Location(s): Springfield, Virginia. This location is within the Washington D.C. metropolitan area, known for its concentration of government agencies and defense contractors.

Workspace Context:

• Secure Environment: Expect a work environment that adheres to strict security protocols due to the TS/SCI clearance requirement and the nature of the work.

• Collaborative Spaces: While specific details aren't provided, roles involving close collaboration with analysts and data scientists often benefit from dedicated team spaces, meeting rooms, and potentially shared development environments.

• Technology Access: Access to necessary development tools, high-performance computing resources, and secure network infrastructure will be provided. The presence of GitLab and CI/CD pipelines suggests a modern development toolset.

Work Schedule:

• The standard work schedule is 40 hours per week, Monday to Friday. Given the mission-critical nature of the work, occasional overtime may be required to meet project deadlines or address urgent operational needs. The on-site requirement means consistent presence in the Springfield, VA location.

📝 Enhancement Note: The on-site requirement and the implied security environment are critical considerations. Operations professionals in such roles often find a structured, disciplined work environment where security and compliance are paramount, alongside the technical challenges.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A review of your resume and application by XTS HR, likely focusing on clearance status, experience, and technical skills.

• Technical Interview(s): Expect one or more technical interviews focusing on your full-stack development skills (Python, SQL, JavaScript/TypeScript), experience with data pipelines, APIs, databases, and data visualization. These may include coding challenges or discussions of past projects.

• Problem-Solving/Analytic Translation Interview: A session to assess your ability to translate loosely defined analytic problems into functional application requirements and solutions. This might involve hypothetical scenarios or case studies.

• Security & Clearance Verification: Thorough vetting related to your TS/SCI clearance will be a significant part of the process.

• Team/Cultural Fit Interview: An opportunity to meet with potential team members and discuss how you collaborate and fit within the XTS and NGA mission-focused environment.

Portfolio Review Tips:

• Highlight End-to-End Projects: Focus on projects where you managed the full development lifecycle, from understanding requirements to deployment and iteration.

• Showcase Data Integration & Visualization: Explicitly present examples of data pipelines, API integrations, and particularly your data visualization work (geospatial, time-series, interactive dashboards).

• Quantify Impact: Where possible, quantify the impact of your work. For example, "Reduced data processing time by X%," "Enabled analysts to access Y data points more efficiently," or "Improved user adoption of tool by Z%."

• Explain Your Process: For each project, articulate your thought process, the challenges faced, the solutions implemented, and the lessons learned. This demonstrates your problem-solving methodology.

• Tailor to the Role: Emphasize projects that align with the requirements: working with large datasets, building user-facing applications for analytics, and integrating disparate systems.

Challenge Preparation:

• Coding Challenges: Prepare for coding exercises in Python and SQL, focusing on data manipulation, algorithm efficiency, and API interaction.

• System Design: Be ready to discuss how you would design a system to ingest, process, and visualize large datasets for analytical purposes.

• Scenario-Based Questions: Practice answering questions about how you would approach translating a vague analytical requirement into a concrete technical solution. Consider how you'd gather requirements, choose technologies, and manage feedback.

📝 Enhancement Note: The emphasis on translating "loosely defined analytic problems" suggests interviewers will probe your ability to elicit requirements and design solutions in an environment where initial needs might be ambiguous. A portfolio showcasing this process is crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Programming Languages: Python (strong proficiency), SQL (strong proficiency), JavaScript/TypeScript (working knowledge).

• Databases: Experience with Oracle is specifically mentioned; broader SQL database experience is implied.

• Version Control & CI/CD: GitLab, CI/CD pipelines.

• Front-end Frameworks (Preferred): React.js, Plotly Dash.

Analytics & Reporting:

• Data Visualization Libraries/Tools: Experience creating interactive visualizations, including specialized types like image, time-series, or geospatial interfaces. Plotly Dash is a preferred tool.

• Analytics Platforms (Desired): Palantir Foundry or similar platforms.

CRM & Automation:

• API Integrations: Experience in building and integrating APIs is a core requirement.

• Data Pipelines: Essential for processing and managing large datasets.

• Cloud Platforms (Desired): AWS or Azure familiarity.

📝 Enhancement Note: The technology stack is a blend of foundational development tools (Python, SQL, JS/TS, GitLab) and specialized analytics/visualization components (Plotly Dash, geospatial, Palantir Foundry). Proficiency in these areas directly supports the operational goal of making complex data accessible and actionable.

👥 Team Culture & Values

Operations Values:

• Mission Focus: A strong commitment to supporting national security missions, prioritizing effectiveness and reliability in all development efforts.

• Collaboration: A team-oriented approach, valuing close partnerships with analysts, data scientists, and other stakeholders to achieve shared objectives.

• Innovation & Adaptability: Encouragement to find new ways to solve complex problems and adapt to evolving mission needs and technological advancements, particularly with data and AI.

• Professional Growth: A culture that invests in employee development, offering opportunities for learning and career advancement within the company and client projects.

• Integrity & Security: Upholding the highest standards of integrity and security, essential for working with classified information and sensitive data.

Collaboration Style:

• User-Centric: The team likely adopts a user-centric approach, working directly with NGA analysts to ensure tools are not just functional but also intuitive and highly useful for their daily workflows.

• Iterative Feedback Loops: Expect a collaborative style that involves continuous feedback and refinement of solutions based on direct input from end-users.

• Cross-Functional Synergy: Strong emphasis on seamless collaboration between developers, data scientists, and domain experts (analysts) to leverage diverse skill sets and perspectives.

📝 Enhancement Note: The values point to a demanding yet rewarding environment. Operations professionals thrive here by demonstrating problem-solving skills, adaptability, and a commitment to delivering impactful results within a secure, mission-driven context.

⚡ Challenges & Growth Opportunities

Challenges:

• Translating Ambiguity: The primary challenge is translating loosely defined or complex analytic problems from intelligence analysts into concrete, functional software solutions. This requires strong communication and analytical interpretation skills.

• Working with Large, Complex Datasets: Managing, processing, and visualizing massive and diverse datasets within security constraints can be technically demanding.

• Integration Complexity: Integrating various data pipelines, APIs, and databases (like Oracle) into a cohesive, functional application requires robust system design and implementation skills.

• Security Requirements: Adhering to strict security protocols and maintaining an active TS/SCI clearance is a continuous requirement.

• Evolving Mission Needs: Keeping pace with rapidly evolving intelligence requirements and technological advancements, including AI, necessitates continuous learning and adaptation.

Learning & Development Opportunities:

• Advanced Data Visualization Techniques: Opportunities to specialize in creating sophisticated and custom data visualizations, potentially including advanced geospatial or AI-driven insights.

• Cloud Technologies: Gaining hands-on experience with AWS or Azure, which are increasingly critical in government contracting.

• Generative AI Integration: Learning to integrate cutting-edge generative AI capabilities into applications for enhanced analytical power.

• Specialized Platforms: Developing expertise in platforms like Palantir Foundry, which are prevalent in advanced data analytics and intelligence operations.

• Mentorship: Potential for mentorship from senior developers and technical leads within XTS, guiding career progression and skill development.

📝 Enhancement Note: The challenges highlight the need for adaptability and continuous learning, key traits for operations professionals. The growth opportunities are directly tied to acquiring in-demand technical skills and expertise within the government contracting and intelligence sectors.

💡 Interview Preparation

Strategy Questions:

• "Describe a time you took a loosely defined analytical problem and translated it into a functional application. What was your process?" (Focus on requirements gathering, design, implementation, and user feedback.)

• "How would you approach designing a system to integrate real-time data streams from multiple sources for a geospatial analytics application?" (Assess your system design, data pipeline, and visualization strategy.)

Company & Culture Questions:

• "Why are you interested in supporting national security missions with Xcellent Technology Solutions?" (Showcase your understanding of the company's mission and your alignment with it.)

• "How do you ensure your code is production-ready and meets security standards, especially within a CI/CD pipeline?" (Demonstrate your awareness of development best practices and security protocols.)

Portfolio Presentation Strategy:

• Structure Your Narrative: For each project, clearly articulate:

  • The problem statement or mission need.
  • Your role and responsibilities.
  • The technologies and processes used.
  • The challenges encountered and how you solved them.
  • The final solution and its impact (quantify if possible).

• Demo Key Features: If possible, prepare a brief, secure demo or screenshots showcasing your UI, data visualizations, and integration points.

• Focus on Data Flow and User Experience: Explain how data moves through your system and how your UI design makes it accessible and actionable for the end-user (the analyst).

• Highlight Iteration: If a project involved significant iteration based on feedback, emphasize that process to show your adaptability and commitment to user needs.

📝 Enhancement Note: The interview questions will probe your ability to bridge technical development with operational needs, particularly in translating complex requirements into functional solutions and handling data effectively. A well-curated portfolio that demonstrates this is essential.

📌 Application Steps

To apply for this Full Stack Developer position:

• Submit your application through the provided link on xtscareers.applytojob.com.

• Tailor your resume: Highlight your experience with Python, SQL, data pipelines, API integration, data visualization (especially geospatial/time-series), and any experience with Oracle, GitLab, or CI/CD. Explicitly mention your TS/SCI clearance.

• Prepare your portfolio: Curate examples of end-to-end applications, with a focus on data integration, user interfaces, and data visualization. Be ready to discuss the problem, your solution, and the impact.

• Research Xcellent Technology Solutions: Understand their mission focus, veteran-owned status, and commitment to professional growth. This will help you articulate your interest and cultural fit.

• Practice for technical and behavioral interviews: Be ready to discuss your technical skills, problem-solving approach for translating analytic needs, and collaborative experience with subject matter experts.

⚠️ 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.