Cloud Data Pipeline Engineer (AWS/Kubernetes)

DNI (Delaware Nation Industries); Dahlgren (VA); On-site; USD 150,000 - 170,000; Full time

Benefits offered by this job

Covers 100% of employee premiums (Med/

Matching 401K

Short- and Long-Term Disability

Pet Insurance

Professional Development Reimbursement

Parking and Transit Benefits

Job summary

DNI (Delaware Nation Industries) seeks a Software Developer to support JWAC IT Services, applying software development to cloud-based data services. You will build APIs, data pipelines, and automation for analytics and AI/ML use in AWS or Kubernetes environments.

The role emphasizes hands-on data and cloud work, with collaboration across cloud engineers, data scientists, analysts, and cybersecurity staff, and potential TS/SCI/SAP access requirements.

Qualifications

• Bachelor's degree in computer science, computer engineering, data science, or a related technical discipline.
• Three or more years of relevant software development experience, across the lifecycle.
• Experience writing, testing, debugging, and documenting production-ready code.
• Hands-on delivery experience with AWS or Kubernetes/containerized applications; both is a plus.

Responsibilities

• Design, code, test, debug, document, and maintain software components across the delivery lifecycle.
• Build or extend data-pipeline and ETL components ingesting, transforming, validating, and publishing data.
• Develop APIs, web services, integrations, and automation that connect data sources and analytics services.
• Prepare reliable datasets for analytics, feature engineering, model training, and inference.
• Deliver software into AWS cloud services or Kubernetes environments; contribute to deployment automation and CI/CD.

Skills

AWS

Kubernetes

APIs

CI/CD

Data pipelines

Secure development

Education

Bachelor's degree in CS/CE/Data Science or related

Tools

Git

Job description

DNI (Delaware Nation Industries) seeks a Software Developer to support JWAC IT Services, applying software development to cloud-based data services. You will build APIs, data pipelines, and automation for analytics and AI/ML use in AWS or Kubernetes environments.

The role emphasizes hands-on data and cloud work, with collaboration across cloud engineers, data scientists, analysts, and cybersecurity staff, and potential TS/SCI/SAP access requirements.