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# Software Developer - Cloud Data Pipelines

- **Company:** Delaware Nation Industries
- **Location:** Dahlgren, VA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $170,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Data Analysis, Application Services, Automation of Tests, Big Data, Cloud Database, Cloud Engineering, CompTIA Security+, Computer Engineering, Continuous Integration, Extract Transform Load (ETL), Software Debugging, SAP (Applications), Secure Coding, Software Engineering, SQL Databases, Systems Integration, Unstructured Data, Web Services, Workflow Management Systems, Data Logging, Feature Engineering, Event Driven Architecture, Amazon Relational Database Service, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Deployment Automation, AWS Lake Formation, Production Code, AWS Glue, Machine Learning Operations, Restful APIs, Software Version Control, Data Pipelines, Devsecops, Serverless Computing, Amazon Redshift
- **Published:** October 8, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=be5b969d3b900d30

## About the Role

* Bachelor's degree in computer science, computer engineering, data science, or a related technical discipline.
 * Three or more years of relevant software development experience, including hands-on work across the software development lifecycle.
 * Demonstrated ability to write, test, debug, and document code used in production, lab, or proof-of-concept delivery.
 * Hands-on delivery experience with AWS or Kubernetes/containerized applications. Experience with both is a plus.
 * Experience with APIs, integrations, automation, data-intensive applications, ETL, or data pipelines-or a strong demonstrated interest in building these capabilities.
 * Ability to work onsite at JWAC in Dahlgren, Virginia, and to obtain and maintain the required TS/SCI and SAP access, as applicable to the assignment.
 * Ability to meet the DoD workforce qualification requirements applicable to the assigned duties; final work-role details must be confirmed before posting., * AWS experience with data, integration, analytics, or application services such as AWS Glue, Amazon Athena, Amazon Redshift, Amazon Kinesis, AWS Lake Formation, or Amazon RDS.
 * Experience delivering containerized workloads with Kubernetes or another container platform.
 * Experience with REST APIs, SQL, event-driven systems, workflow orchestration, or cloud-native application design.
 * Experience with source control, CI/CD, automated testing, infrastructure automation, or DevSecOps.
 * Exposure to data science or AI/ML workflows, model-ready data, search, or cloud-hosted model services.
 * Experience in classified, regulated, or Department of Defense environments.
 * Relevant AWS, Kubernetes, software-development, or cybersecurity certifications.

## Description

This profile is aimed at developers who want to work closer to data and cloud platforms-not only traditional application feature development. Hands-on delivery in AWS or Kubernetes/container environments is important; experience with 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 that ingest, transform, validate, and publish structured or unstructured data.
 * Develop APIs, web services, integrations, serverless functions, and workflow automation that connect data sources, applications, and analytics services.
 * Help prepare reliable, well-documented datasets for analytics, feature engineering, model training, and inference.
 * Deliver software into AWS cloud services or Kubernetes/containerized environments; contribute to deployment automation and CI/CD practices.
 * Improve reliability through automated testing, monitoring, logging, alerting, troubleshooting, and corrective maintenance.
 * Apply secure development practices, including least-privilege access, data protection, and security checks in the delivery workflow.
 * Work with cloud engineers, data scientists, analysts, cybersecurity staff, and Government stakeholders to clarify needs and deliver practical solutions.
 * Evaluate performance, operational effort, and cloud cost when recommending or improving an implementation.