Senior Software Engineer (Big Data)

KDA Consulting Inc. is seeking a highly skilled Full Stack Developer with Big Data expertise to support mission-critical programs within the Intelligence Community (IC). This role will focus on designing, developing, and maintaining scalable applications that process and analyze large volumes of data in support of national security objectives.

The ideal candidate will bring a strong mix of full stack engineering capabilities and data-intensive application experience, with the ability to operate in a fast-paced, highly collaborative environment. This position offers the opportunity to work on modernized systems, cloud-based architectures, and high-impact mission applications.

• Full Stack Development
• Design, develop, and maintain scalable full stack applications across both front-end and back-end components
• Build responsive and user-friendly interfaces using modern front-end frameworks
• Develop robust backend services, APIs, and microservices architectures
• Big Data & Data Processing
• Work with large-scale data processing frameworks such as Hadoop, Apache Spark, and Kafka
• Design and implement data pipelines to ingest, transform, and process structured and unstructured data
• Optimize data workflows for performance, scalability, and reliability
• System Architecture & Integration
• Architect and integrate distributed systems in cloud and hybrid environments (AWS preferred)
• Design RESTful APIs and ensure seamless integration between application layers and data platforms
• Support system modernization efforts, transitioning legacy systems to scalable, cloud-native solutions
• Collaboration & Agile Delivery
• Work closely with cross-functional teams including data engineers, DevOps engineers, and mission stakeholders
• Participate in Agile development processes including sprint planning, stand-ups, and retrospectives
• Communicate technical solutions and progress effectively to both technical and non-technical stakeholders

Requirements

• Active TS/SCI clearance (Polygraph strongly preferred)
• Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)