Mid-Level Computer Scientist 130-005

The Mid-Level Computer Scientist develops, tests, and sustains software systems and data pipelines underpinning DIA’s enterprise OBI production environment. Working in a SAFe Agile team alongside senior engineers and ontologists, this role contributes across the full SDLC - from feature development through testing, deployment, and O&M. All solutions integrate into DIA’s IT environment (Python, R, SQL, ArcGIS, Tableau).

Duties may include:

• Design, develop, test, and deploy software applications, APIs, microservices, and data pipelines supporting DIA’s MARS OBI platform and associated analytic workflows.
• Build and maintain ETL pipelines using Apache NiFi, Databricks, Python, or SQL to ingest, transform, normalize, and load structured and unstructured intelligence datasets into the MARS triple store.
• Develop and maintain SPARQL queries, SHACL validation shapes, and RDF/OWL mapping rules per Ontology & Knowledge Modeling to enforce data quality and DIEKM/DICO semantic compliance.
• Implement and maintain containerized deployments (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitLab, Fortify, SonarQube) containerization and infrastructure-as-code requirements.
• Develop and execute unit, integration, and regression test suites; participate in TEVV protocol execution for AI/ML components contributing to QAF deliverables.
• Maintain RMF documentation artifacts (SSPs, SARs, POA&Ms), STIG compliance baselines, and ATO support secure storage and distributed network access requirements.
• Ensure software deliverables comply with Government ownership requirements; maintain source code, version histories, container configurations, and deployment scripts obligations.
• Participate fully in SAFe ceremonies; commit to and deliver sprint objectives; contribute user stories aligned to backlog priorities.
• Author code documentation, API references, deployment runbooks, and release notes per Knowledge Management Strategy.

Required:

• Bachelor’s degree in Computer Science, Software Engineering, or related STEM field AND 3-6 years of software engineering in classified IC or DoD environments
• Proficiency in Python, Java, or C#; experience with DIA baseline: Python, R, SQL, ArcGIS, Tableau
• Containerization experience: Docker and Kubernetes in DevSecOps environments
• CI/CD toolchain experience: Jenkins, GitLab CI, Fortify, or SonarQube
• SQL and NoSQL database experience; ETL pipeline development in classified environments
• RMF, ACAS, STIG, and software security compliance in classified DoD/IC environments
• Agile/SAFe software development environment experience

Desired:

• Experience with RDF triple stores, SPARQL, OWL, or SHACL constraint languages
• Familiarity with DIA MARS, Object-Based Production (OBP), or DIEKM/DICO standards
• Apache NiFi, Databricks, or Kafka data pipeline development experience
• Elastic Search, Kibana, or Splunk analytics and monitoring experience
• SAFe Agile certification or demonstrated program delivery experience
• REST API design and development experience
• Familiarity with NIST AI RMF or DoD AI Ethical Principles for AI-adjacent software development

Security Clearance:

• Active TS/SCI and the willingness to sit for a polygraph, if needed