Sr. Data Engineer

Sr. Data EngineerWe are seeking a versatile AI/Data Engineer with a strong Full Stack Development background to lead the technical realization of our Emerging Technology initiatives. This role requires a "builder" mindset—someone who can develop robust data pipelines, integrate advanced AI/ML models, and build the interfaces that make those insights actionable. Crucially, you will navigate the complexities of federal deployments, including ATO management and the creation of rigorous technical documentation.Key Responsibilities:AI & Data Engineering:Design and implement scalable data pipelines (ETL/ELT) to ingest, clean, and structure data for AI consumption.Develop and integrate AI/ML solutions, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks.Optimize model performance and manage data versioning and model registry.Full Stack Development:Build responsive, user-centric front-end interfaces and robust back-end APIs to support AI-driven applications.Ensure seamless integration between the data layer, AI services, and the user interface.Write clean, maintainable code following modern software engineering best practices.Deployment & ATO Management:Manage the deployment lifecycle using CI/CD pipelines in cloud-native environments (AWS/Azure).ATO Leadership: Partner with security and compliance teams to ensure all solutions meet federal security standards (NIST/FedRAMP).Navigate the Risk Management Framework (RMF) to move prototypes into production-ready, accredited environments.Technical Documentation:Author comprehensive technical documentation, including System Security Plans (SSP), API documentation, architectural diagrams, and user manuals.Maintain rigorous documentation of data lineage, governance protocols, and deployment procedures.Requirements:6+ years of experience in software engineering, with at least 3 years focused on AI/Data Engineering.Full Stack Proficiency: Professional experience with modern frameworks (e.g., React, Vue, Python/FastAPI, Node.js, or Go).Cloud & DevOps: Strong experience with AWS or Azure services, Docker, Kubernetes, and CI/CD tools.Deployment Expertise: Demonstrated knowledge of the federal ATO process and security compliance requirements.Data Mastery: Expert-level SQL and experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Pinecone, etc.).Documentation: Proven ability to translate complex technical architectures into clear, professional documentation for both technical and non-technical stakeholders.Preferred Requirements:Experience with DLA or other DoD agencies and their specific security protocols.Background in building AI solutions that handle sensitive or unclassified (CUI) data.Certifications in AWS/Azure Solutions Architecture or DevSecOps.Work Schedule:Hybrid – 2–3 days remote, 2–3 days on-site at Fort Belvoir, VAStart Date: ASAP