{"id":2473954,"url":"https://alion.io/job/atr-sr-data-engineer","title":"Sr. Data Engineer","company":{"id":2572760,"name":"Arena Technical Resources","domain":"atr.com","url":"https://alion.io/company/atr-com","size_band":null,"is_staffing_agency":true,"employer_type":"agency","is_intermediary":false,"listed_via":null,"ats_vendor":"Schema","truth_index":{"grade":"C","score":65,"open_postings":122,"ghost_share":0.59,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-14T06:34:16Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Fort Belvoir, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":112000,"max_usd":214000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1089},"experience_years_min":6,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"ETL/ELT","optional":false},{"name":"FastAPI","optional":false},{"name":"FedRAMP","optional":false},{"name":"Kubernetes","optional":false},{"name":"Node JS","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"React.js","optional":false},{"name":"SQL","optional":false},{"name":"Vue.js","optional":false},{"name":"JavaScript","optional":true}],"status":"live","first_seen_at":"2026-06-01T18:31:04Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-14T11:57:33Z","board_verified":true,"closed_at":null,"days_open":134,"trust":{"level":"ghost","repost_count":0,"flags":["stale","company_stale"],"days_open":134},"description":"Job Title: Sr. Data Engineer\nLocation: Fort Belvoir, VA\nEligibility: Candidate must possess an active Top Secret clearance\nJob Description:\nWe 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 (Authority to Operate) management and the creation of rigorous technical documentation.\nKey Responsibilities:\nAI & Data Engineering:\nDesign and implement scalable data pipelines (ETL/ELT) to ingest, clean, and structure data for AI consumption.\nDevelop and integrate AI/ML solutions, including Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks.\nOptimize model performance and manage data versioning and model registry.\nFull Stack Development:\nBuild responsive, user-centric front-end interfaces and robust back-end APIs to support AI-driven applications.\nEnsure seamless integration between the data layer, AI services, and the user interface.\nWrite clean, maintainable code following modern software engineering best practices.\nDeployment & ATO Management:\nManage the deployment lifecycle using CI/CD pipelines in cloud-native environments (AWS/Azure).\n ATO Leadership: Partner with security and compliance teams to ensure all solutions meet federal security standards (NIST/FedRAMP).\nNavigate the Risk Management Framework (RMF) to move prototypes into production-ready, accredited environments.\nTechnical Documentation:\nAuthor comprehensive technical documentation, including System Security Plans (SSP), API documentation, architectural diagrams, and user manuals.\nMaintain rigorous documentation of data lineage, governance protocols, and deployment procedures.\nRequirements:\n6+ years of experience in software engineering, with at least 3 years focused on AI/Data Engineering.\n Full Stack Proficiency: Professional experience with modern frameworks (e.g., React, Vue, Python/FastAPI, Node.js, or Go).\nCloud & DevOps: Strong experience with AWS or Azure services, Docker, Kubernetes, and CI/CD tools.\nDeployment Expertise: Demonstrated knowledge of the federal ATO process and security compliance requirements.\n Data Mastery: Expert-level SQL and experience with both SQL and NoSQL databases (PostgreSQL, MongoDB, Pinecone, etc.).\nDocumentation: Proven ability to translate complex technical architectures into clear, professional documentation for both technical and non-technical stakeholders.\nPreferred Requirements:\nExperience with DLA or other DoD agencies and their specific security protocols.\nBackground in building AI solutions that handle sensitive or unclassified (CUI) data.\nCertifications in AWS/Azure Solutions Architecture or DevSecOps.\nWork Schedule:\nHybrid - 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