Principal Full Stack Software Engineer

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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.

IronEagleX (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.

IronEagleX 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.

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.

• 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.

• 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…