Data Engineer - TS​/SCI Polygraph

Clearance Level Must Be Able to Obtain: Top Secret SCI + Polygraph

US Citizenship

Required:

Yes

We are seeking a Data Engineer to design, build, and optimize scalable backend and data integration systems. This role requires deep expertise across the full software development lifecycle, from system architecture to deployment, with a focus on data‑intensive applications, performance optimization, and cross‑platform integration. The ideal candidate thrives in dynamic environments and can deliver high‑impact solutions that support mission‑critical operations.

• Backend & System Development
• Design, develop, and maintain scalable backend systems in Java, Python, Angular, JavaScript, Go, or equivalent.
• Architect and implement data integration solutions for structured and unstructured data.
• Develop REST APIs and services for real-time and batch processing.
• Maintain modular software libraries with clean interfaces and reusable code.

• Build and optimize ETL pipelines using frameworks such as Elastic Search, Kafka, and Airflow.
• Ensure high performance, scalability, and reliability in data workflows.
• Integrate externally developed code into core software libraries.

• Deploy and maintain solutions across cloud environments (AWS, Azure, GCP).
• Apply containerization (Docker, Kubernetes) and CI/CD pipelines for automation.
• Adhere to configuration management and infrastructure standards.

• Translate business requirements into technical specifications across data and application layers.
• Maintain code quality through testing, regression analysis, and reviews.
• Investigate and resolve production issues to improve stability and data integrity.
• Conduct full lifecycle testing following strict quality procedures.

• Provide bug fixes, enhancements, GUI improvements, and access control updates.
• Install, configure, and monitor applications to meet operational requirements.
• Deliver ad‑hoc training and support to users.

• Partner with configuration managers to integrate internal and external software solutions.
• Evaluate and recommend third‑party vendors and partners.
• Support development of standards, methods, and procedures for product release readiness.

• Proficiency: Java, Python, Angular, Scala, or Go.
• Expertise: Kubernetes, Airflow.
• Experience with relational and No
  
  SQL databases, plus cloud‑native data services.
• Proven ability to work across the full software development lifecycle.
• Familiarity with CI/CD, Docker.
• Strong analytical, troubleshooting, and communication skills.

• Education: BS in Computer Science or related field, or the equivalent combination of education, technical certifications or training, or work experience.
• Experience: 8+ years.
• Security Clearance level: TS/SCI with Polygraph.
• Location: Chantilly, VA – On Customer Site.
• US Citizenship Required

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

● Growth: AI‑powered career tool that identifies career steps and learning opportunities

● Support:
An internal mobility team focused on helping you achieve your career goals

● Rewards:
Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off

● Community:
Award‑winning culture of innovation and a military‑friendly workplace

Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $161,500 - $218,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Our benefits package for all US‑based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post‑tax dollars up to the IRS…