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Build and maintain scalable data pipelines in Databricks using PySpark, Python, and SQL. Analyze large datasets, develop dashboards and reports, resolve data quality issues, optimize data models, and support governed analytics assets. Collaborate with federal stakeholders, architects, data scientists, and engineers while documenting solutions and participating in Agile delivery.

Develop and modernize enterprise applications by decomposing monoliths into microservices, building React and Redux interfaces, and creating Java Spring Boot services and Spring Batch pipelines. Migrate legacy databases and stored procedures to Oracle using JPA and Hibernate. Develop automated tests with JUnit, Mockito, Jest, React Testing Library, and Selenium. Maintain CI/CD workflows and containerized deployments across AWS and OpenShift using GitHub Actions and Docker. Collaborate in Agile teams and apply AI-assisted development tools.

Leads strategic growth and federal business development across National Security and federal civilian agencies. Develops market strategies, identifies and captures contract opportunities, manages agency and industry relationships, supports proposal and capture efforts, monitors market intelligence, and ensures compliance with FAR and DFARS. The role requires extensive federal contracting experience, successful pursuits involving AI, automation, data science, digital transformation, and cloud, plus established agency relationships and local presence in the DMV area.

The AI Engineer will design and deliver AI systems, focusing on LLM and Generative AI solutions, integrating models, and ensuring compliance with security constraints.