We are seeking an expert Data Engineer to design, build, and optimize scalable backend systems and data integration solutions. This role requires deep expertise across the full software development lifecyclefrom system architecture through deploymentwith a focus on data-intensive applications, performance optimization, and cross-platform integration.

The ideal candidate thrives in dynamic environments and delivers high-impact solutions supporting mission-critical operations.

• Design, develop, and maintain scalable backend systems using languages such as Java, Python, Go, or JavaScript frameworks (e.g., Angular)

• Architect and implement data integration solutions for both structured and unstructured data

• Develop and maintain RESTful APIs for real-time and batch processing

• Build modular, reusable software libraries with clean, well-defined interfaces

• Design, build, and optimize ETL pipelines using tools such as Elasticsearch, Kafka, and Airflow

• Ensure high performance, scalability, and reliability of data workflows

• Integrate externally developed code into core systems and libraries

• Deploy and maintain applications in cloud environments (AWS, Azure, GCP)

• Implement containerization and orchestration using Docker and Kubernetes

• Develop and maintain CI/CD pipelines to support automated delivery

• Follow configuration management and infrastructure best practices

• Translate business requirements into technical solutions across data and application layers

• Maintain high code quality through testing, code reviews, and regression analysis

• Troubleshoot and resolve production issues to improve system stability and data integrity

• Conduct full lifecycle testing in accordance with established quality standards

• Provide bug fixes, enhancements, UI improvements, and access control updates

• Install, configure, and monitor applications to meet operational needs

• Deliver user support and ad hoc training as required

• Collaborate with configuration managers to integrate internal and external solutions

• Evaluate and recommend third-party tools, vendors, and technologies

• Contribute to development standards, methodologies, and release readiness processes

• Bachelors degree in Computer Science or a related field
  (or equivalent combination of education, certifications, and experience)

• 15+ years of relevant professional experience

• Active TS/SCI clearance with Polygraph (required)

• Strong proficiency in one or more: Java, Python, Scala, Go, or JavaScript frameworks

• Hands-on experience with Kubernetes and Airflow

• Experience with relational and NoSQL databases, as well as cloud-native data services

• Familiarity with CI/CD pipelines and Docker

• Demonstrated ability to work across the full software development lifecycle

• Strong analytical, troubleshooting, and communication skills

• Experience building data products using Apache Avro

• Experience with Apache ActiveMQ

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 youll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.