Senior Software Engineer (Big Data)

KDA Consulting Inc

North Dakota

On-site

USD 110,000 - 165,000

Full time

14 days+

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Job summary

KDA Consulting Inc. seeks a highly skilled Full Stack Developer with Big Data expertise to support mission-critical programs in the Intelligence Community. The role focuses on scalable applications that process and analyze large data volumes for national security objectives.

Ideal candidates combine full stack engineering with data-intensive experience and can operate in a fast-paced, collaborative setting, including modern cloud-based architectures and mission-focused projects.

Qualifications

  • Experience in designing and maintaining full stack applications.
  • Hands-on with big data technologies (Hadoop, Spark, Kafka) and data pipelines.
  • Experience building and consuming APIs and microservices.
  • Strong problem-solving and independent work in complex environments.
  • Ability to work in Agile teams and communicate with stakeholders.

Responsibilities

  • Design, develop, and maintain scalable full stack applications across front-end and back-end components.
  • Build responsive interfaces using modern front-end frameworks.
  • Develop robust backend services, APIs, and microservices architectures.
  • Architect distributed systems in cloud/hybrid environments and ensure REST API integration.
  • Collaborate with data engineers, DevOps, and mission stakeholders in Agile delivery.

Skills

Full stack development
Big data
APIs & microservices
Cloud architectures
Security clearance TS/SCI

Education

Bachelor's degree in Computer Science or related field

Tools

Hadoop
Spark
Kafka

Job description

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

Active TS/SCI clearance (Polygraph strongly preferred)

Bachelor’s degree in Computer Science, Engineering, or a related technical field (or equivalent experience)

Strong experience in full stack development (frontend + backend)

Hands‑on experience with big data technologies such as Hadoop, Spark, Kafka, or similar

Proficiency in one or more programming languages such as Java, Python, or C#

Experience building and consuming APIs and working with microservices architectures

Strong problem-solving skills and ability to work independently in complex environments

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