{"id":1050956,"url":"https://alion.io/job/agiledefense-applied-data-software-engineer","title":"Applied Data & Software Engineer","company":{"id":716156,"name":"Agiledefense","domain":"agiledefense.com","url":"https://alion.io/company/agiledefense","size_band":null,"is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Lever","truth_index":{"grade":"B","score":76,"open_postings":25,"ghost_share":0,"stale_share":0.96,"repost_share":0,"time_to_fill_p50_days":37,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Backend","role_family":"Backend","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Git","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Machine Learning","optional":false},{"name":"Python","optional":false},{"name":"TypeScript","optional":false},{"name":"Hugging Face","optional":true},{"name":"NLP","optional":true},{"name":"spaCy","optional":true},{"name":"Transformers","optional":true}],"status":"live","first_seen_at":"2026-09-18T19:25:52Z","employer_posted_date":"2026-09-18","last_verified_at":"2026-09-24T03:54:06Z","board_verified":true,"closed_at":null,"days_open":5,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":5},"description":"Requisition #: 1862\nJob Title: Applied Data & Software Engineer\nLocation: Arlington, VA\nClearance Level: TS/SCI, Must Have Clearance to Start\nJob Description\nEngineers in this role will design, build, and deploy analytical tools, machine learning workflows, knowledge systems, and multi user applications that enable the customers to transform siloed data into accessible, actionable insight. This position requires a blend of modern software engineering, applied machine learning, data integration, and rapid prototyping skills. The engineers will operate in highly dynamic environments with limited supervision, adapting to customer-specific technologies and methodologies to mission specific Joint Staff challenges.\nKey Responsibilities\nDevelop and deploy Python based natural language processing and machine learning workflows, including text analytics, topic modeling, embedding based classification, and entity extraction.\nBuild network analysis and knowledge graph systems, including architectures similar to GraphRAG for complex, multi source analytic problems.\nDesign and implement collaborative front end applications in TypeScript that support multiple users in real time analytic, planning, and decision environments.\nBuild APIs, integrate data feeds, and support end to end data application pipelines within secure JS environments.\nEvaluate emerging tools and methods, adapting customer capabilities for Joint Staff missions with minimal supervision.\nProvide technical support, documentation, and iterative solution development in partnership with customer personnel and operators.\nWork as part of an embedded technical team, ensuring solutions align with DoW priorities and mission objectives.\nUphold security and access policies while developing in SIPRNet and JWICS environments.\nMinimum Qualifications\nBachelor’s degree in computer science, data science, engineering, information systems, mathematics, or a related technical field.\nEquivalent combinations of education, advanced technical certification, and relevant professional experience may be considered\n4+ years of Python development experience, including application development and Git based version management OR;\n4+ years of front end TypeScript experience with multi user production deployments, plus at least 2 years of Python proficiency.\nDemonstrated experience building in new or ambiguous environments with minimal oversight\nMust have an active TS/SCI clearance (SCI eligibility)\nPreferred Qualifications\nExperience with modern NLP libraries and frameworks (Transformers, spaCy, HuggingFace, etc.).\nExperience designing or using graph databases, GraphML, or other graph centric analytic tooling.\nFamiliarity with deploying software in secure or classified environments.\nExperience adapting engineering methods to operational or analytical workflows.\nKnowledge of DoD data architectures, decision processes, or operational planning cycles (not required, but valuable).","description_format":"text","description_chars":2950,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Cybersecurity","Data & Analytics","Information Technology"],"lifecycle":[{"event":"open","at":"2026-09-18T23:50:19Z"}],"liveness":{"score":70,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.695,"p_room":1,"age_days":4,"expected_fill_days":37,"reasons":["conf:1","stale_co","urgency","velocity","win:early"],"computed_at":"2026-09-23T05:45:00Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":true},"html_url":"https://alion.io/job/agiledefense-applied-data-software-engineer","json_url":"https://alion.io/job/agiledefense-applied-data-software-engineer.json","meta":{"generated_at":"2026-09-24T05:42:15Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}