Senior Principal Data Engineer

Job Overview

Position:
Senior Principal Data Engineer (DATA ENGINEER SR PRINCIPAL)

Type:
Regular

Clearance Level Must Currently Possess:
Top Secret/SCI

Clearance Level Must Be Able To Obtain:
Top Secret/SCI

Public Trust/Other

Required:

None

Job Family:
Data Science and Data Engineering

Skills:

CSS Framework, Data Query, Data Transformation, Event Driven Architecture (EDA), Java Script

Certifications:

None

Experience:

8+ years of related experience

US Citizenship

Required:

Yes

Iron Eagle

X (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.

Iron Eagle

X is seeking a Senior Principal Data Engineer to design, build, and maintain data collection, processing, and integration pipelines that centralize and structure data from various web‑based applications. You will work closely with software developers, data analysts, and product teams to ensure seamless data flow, high‑quality data storage, and efficient retrieval methods. This role is ideal for someone passionate about data‑driven decision‑making and optimizing data aggregation processes while exploring and identifying right‑sized technologies and computing resources.

This is not a Data Science, Big Data, ML‑Ops, or AI‑related role. Instead, this position focuses on wrangling disparate data sources into unified, consumable data APIs for internal and external stakeholders.

As a P Data Engineer, you will turn raw, multi‑source data into reliable, high‑performance inputs that directly feed into our data management systems for advanced analytics. Your work will make it faster and easier for teams across engineering, analytics, and products to develop, deploy, and improve analytic capabilities by ensuring datasets are ready and accessible.

• Design, develop, and maintain data ingestion pipelines to collect structured and unstructured data from user applications and bulk data sources.
• Implement efficient data transformation and storage strategies to facilitate easy retrieval and analysis.
• Collaborate with software development teams to optimize application‑generated data for streamlined aggregation.
• Ensure data integrity, security, and compliance with industry regulations and company policies.
• Optimize query performance and improve data access patterns to support analytical and operational use cases.
• Work with business stakeholders to define data requirements and improve data accessibility for decision‑making.
• Design and build APIs to support data ingestion, retrieval, and integration with external systems.
• Develop and maintain event‑driven architectures, utilizing event storage for real‑time data processing.

• 3+ years of experience in front‑end development with a focus on React.
• Strong proficiency in JavaScript (ES6+), Type Script, HTML5, and CSS
  3.
• Knowledge of modern CSS frameworks (Tailwind CSS, Styled Components, or SASS/SCSS).
• Experience with build tools and package managers (Webpack, Vite, pnpm, Yarn, npm).
• Familiarity with RESTful APIs, Event stores, and Web Sockets for data fetching.
• Experience with testing frameworks (Jest, React Testing Library, Cypress) is a plus.
• Knowledge of performance optimization techniques and best practices for front‑end development.
• Experience with CI/CD pipelines and version control (Git, Git Lab, etc.).
• Strong problem‑solving skills and the ability to work independently or collaboratively.

• Clearance:
  Current TS/SCI Clearance is required.
• Experience:
  
  8+ years of related experience.
• Education:
  
  Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent experience).
• Role requirements:
  
  Work on a hybrid remote schedule on Ft Bragg, NC.
• Proficiency in database technologies, including SQL, No
  
  SQL, and event‑based databases (e.g., Postgre
  
  SQL, MySQL, Mongo
  
  DB, Event
  
  Store
  
  DB).
• Strong…