Principal Full Stack Software Engineer

Type of Requisition: Regular Clearance Level Must Currently Possess: Top Secret/SCI Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph Public Trust/Other Required: None Job Family: Software Engineering Job Qualifications: Skills: CI/CD, Git, Python (Programming Language), Software Development, Structured Query Language (SQL) Development Certifications: None Experience: 8 + years of related experience US Citizenship Required: Yes Job Description: YOUR IMPACT   Own your opportunity to work with the largest government agency in the nation. Make an impact by advancing the Department of   War ’s mission to keep our country safe and secure.   OUR COMPANY   Iron   EagleX   (IEX), a wholly owned subsidiary of General Dynamics Information Technology   (GDIT) , delivers agile IT and Intelligence solutions. Combining small-team flexibility with global scale, IEX leverages emerging technologies to provide innovative, user-focused solutions that empower organizations   and end users to   operate   smarter, faster, and more securely in dynamic environments.    JOB DESCRIPTION   Iron   EagleX   is seeking a Principal Full Stack Software Engineer to join our dynamic team in Crystal City, VA. This role designs, develops, deploys, and sustains innovative software and data capabilities as a member of a fast-paced, multidisciplinary team. You will work across the application stack to build analytic frontends, production APIs, data integration services, reporting interfaces, and supporting data layers that transform complex data and analytic methods into practical, reliable capabilities supporting critical customer requirements.   M EANINGFUL WORK AND PERSONAL IMPACT   As a   Principal Full Stack Software Engineer , you will quickly turn complex data, analytic requirements, and emerging concepts into usable software capabilities that deliver critical insights to end users. You will work closely with analysts, data scientists, and other technical specialists to solve difficult technical problems, rapidly prototype new applications and workflows, and transition successful solutions into repeatable, maintainable, and operational   software   capabilities.   JOB DUTIES   (INCLUDE BUT ARE NOT LIMITED TO)   Develop clean, maintainable, and efficient Python code while adhering to best practices and coding standards.   Design, build, and   maintain   data analytics web applications, dashboards, and user-facing analytics experiences using   Streamlit   or similar technologies.   Develop interactive data products that enable users to explore, visualize, filter, and interpret complex datasets.   Build and integrate backend services, APIs, and data access layers using Python frameworks such as   FastAPI   or similar technologies.   Support data ingestion, transformation, validation, and aggregation capabilities to help ensure   accurate   and   timely   analytics.   Work with relational databases such as Postgres and MySQL, supporting data integrity, performance, and efficient query design.   Collaborate with data analysts, data engineers, and stakeholders to understand requirements and deliver practical analytics solutions.   Create reusable software components and data services that support reporting, visualization, workflow automation, and operational analytics.   Support CI/CD pipelines and container-based deployments, including Docker-based environments, to enable repeatable builds and reliable releases.   Implement and   maintain   version control using Git to support collaboration and code management.   Apply software engineering best practices to improve scalability, maintainability, testability, and reliability of analytics applications.   Ensure developed solutions meet required security, quality, and compliance standards.   Contribute to all stages of the software development life cycle, from concept and design to testing, deployment, sustainment, and enhancement.   REQUIRED SKILLS:   Ability to work effectively both collaboratively and independently in a fast-paced environment.   Experience writing clean, maintainable, and efficient Python code.   Hands-on experience developing software applications that support data analytics, reporting, dashboards, or operational data products.   Experience with front-end development using   Streamlit   or similar technologies for interactive analytics applications.   Working knowledge of web technologies, RESTful APIs, containerization, backend services, and user interface development.   Experience building and   maintaining   backend solutions using Python frameworks such as   FastAPI   or similar tools.   Familiarity with relational database systems such as PostgreSQL and MySQL.   Experience writing SQL queries to support analytics, reporting, and application functionality.   Understanding of data quality, data validation, data transformation, and basic data modeling concepts.   Experience with Docker; Kubernetes experience is a plus.   Familiarity with CI/CD pipelines and repeatable deployment practices.   Proficiency   in implementing and   maintaining   version control using Git.   Hands-on experience with full stack development and understanding of the software development life cycle.   DESIRED SKILLS   Experience developing analytics dashboards, operational reporting tools, or mission-focused data applications.   Experience with data visualization libraries or platforms such as   Streamlit , Superset, or similar tools.   Familiarity with ETL workflows, data pipelines, or automated data processing jobs.   Familiarity with cloud-based data platforms, managed databases, object storage, or cloud deployment environments.   Experience working with data from multiple source systems.   Familiarity with data governance, metadata management, access control, and data security best practices.   Experience troub