Data Engineer - TS/SCI with Polygraph

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

CI/CD, Cloud Based Services, ETL (Extract Transform Load) Testing, Java, Python Software Development

Certifications:

None

Experience:

10 + years of related experience

US Citizenship Required:

Yes

Job Description:

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.

Key Responsibilities

• Backend & System Development
• Design, develop, and maintain scalable backend systems in Java, Python, Angular, Java Script, 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.

Data Engineering & ETL

• 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.

Cloud & DevOps

• 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.

Software Development Lifecycle

• 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.

Application & User Support

• 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.

Collaboration & Quality Assurance

• 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.

Qualifications

• Proficiency in Java, Python, Angular, Scala, or Go.
• Strong expertise Kubernetes, and Airflow.
• Experience with relational and NoSQL 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.

WHAT YOU'LL NEED TO SUCCEED:

• 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

GDIT IS YOUR PLACE
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

OWN YOUR OPPORTUNITY
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.

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