{"id":672417,"url":"https://alion.io/job/redhorsecorp-graph-data-engineer","title":"Graph Data Engineer","company":{"id":684975,"name":"Redhorse","domain":"redhorsecorp.com","url":"https://alion.io/company/redhorsecorp","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"B","score":77,"open_postings":16,"ghost_share":0,"stale_share":0.938,"repost_share":0,"time_to_fill_p50_days":41,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Arlington, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":140000,"max":170000,"currency":"USD","period":"year","gross":null,"usd_annual":170000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agentic Workflows","optional":false},{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Java","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"CI/CD","optional":true},{"name":"LLM","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-08-24T14:49:14Z","employer_posted_date":"2026-08-24","last_verified_at":"2026-10-29T18:28:42Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"Now is an exciting time to join Redhorse Corporation.\nWe are redefining how the U.S. Government transforms data into operational advantage through artificial intelligence, graph analytics, and mission-driven software engineering. Our teams work alongside the Department of Defense to build secure, scalable capabilities that enable analysts and decision-makers to move faster, reason better, and operate with greater confidence.\nOur approach combines human-centered design, modern software engineering, graph technologies, artificial intelligence, and agile delivery to solve some of the nation’s most challenging problems.\nAbout the Role\nWe are seeking an analytical, forward-thinking Graph Data Engineer to design, build, scale, and maintain the Enterprise Semantic Map - our ontology-grounded metadata graph.\nIn this role, you will move the enterprise beyond traditional, static cataloging by leading an automation-first approach. You will architect and deliver programmatic data and API integrations, design and configure graph database structures, and build the agentic workflows that discover and catalog disparate data sources across the enterprise. Partnering with graph, data, and engineering teams, you will align these assets to enterprise semantic and provenance layers so data is discoverable, understandable, trusted, and dynamically composable for human analysts, applications, and downstream AI agents.\nSuccess in this role requires strong hands-on engineering skills and a systems-thinking mindset: the ability to reason about how data pipelines and tool integrations affect the broader enterprise architecture, search and discovery, and downstream agentic research workflows - and to make and defend design decisions that others will build on.\nKey Responsibilities\n1. Automated Source Discovery & Metadata Ingestion (Technical Metadata)\n\nSupplying the “Raw Ingredients” for the Semantic Knowledge Graph: Design, build, and deploy automated pipelines that programmatically discover enterprise data assets and interface with existing data catalogs. Scan, catalog, and ingest technical metadata - including schemas, tables, columns, and API endpoints - from legacy, cloud, and distributed environments to establish baseline assets for alignment to the Enterprise Core Ontology.\nScaling the Semantic Map: Establish the automated pipelines and orchestrated workflows that ingest metadata at scale, replacing manual, field-by-field mapping. Own the practices that keep the ontology current as a dynamic, living “semantic control plane” rather than a static document.\nEstablishing the Entry Point for Lineage: Define how the technical origin of ingested data is registered and how metadata is captured at the point of ingestion, creating the foundation for automated provenance chains that track where data originated and how it changes over time.\n2. Semantic & Provenance Mapping (Semantic & Lineage Metadata)\n\nOntological Alignment: Lead the alignment of discovered data elements from local systems to the shared Enterprise Core Ontology and specialized Domain Ontologies, with particular attention to compatibility with established institutional frameworks (e.g., DIA’s DIKEM). Preserve local naming conventions while establishing standardized, shared meaning, and resolve modeling conflicts as they arise.\nLineage Tracking: Design and maintain data lineage chains within the Provenance Layer, applying industry lineage standards to document where data originates, how it is transformed, and who governs it.\nGraph Querying & Validation: Write, optimize, and review graph queries supporting metadata retrieval, logical validation, and graph manipulation. Establish reusable query patterns and validation checks the wider team can build on.\n3. Enterprise Systems Thinking & Alignment\n\nBig-Picture Integration: Assess how newly integrated data sources and automated pipelines affect the broader Enterprise Semantic Map, selected use cases, downstream consumers, and enterprise search and discovery - and adjust the design accordingly.\nDownstream Enablement: Connect data assets to relevant mission metadata so technical capabilities can be clearly linked to the mission workflows they support.\nGovernance Compliance: Ensure enterprise assets are associated with appropriate governance metadata, including ownership, classifications, handling rules, and access constraints. Translate complex data policies into machine-readable semantic structures.\n4. Smart Search & Agent Enablement\n\nSemantic Control Plane Ownership: Maintain and optimize the Enterprise Semantic Map within enterprise graph database platforms so human analysts, applications, and autonomous AI agents can efficiently search, navigate, and discover resources. Tune schema and query performance as the graph grows.\nAgent Integration: Partner with AI engineers so planning, research, and tool agents can dynamically query the graph, and help define the grounded, trustworthy reasoning and retrieval strategies those agents depend on.\n5. Technical Leadership & Mentorship\n\nMentorship: Guide junior engineers on graph modeling, query construction, and pipeline development, and review their work.\nDesign Documentation & Advocacy: Document schema decisions, modeling rationale, and runbooks so the design is reproducible, and represent technical positions clearly to architects, program leadership, and government stakeholders.\nRequired Experience/Clearance\nBachelor’s Degree with 5+ of relevant professional experience or equivalent.\nActive TS SCI Clearance.\nCore Technical Skills: Foundational proficiency across the following areas, demonstrated in any comparable technology:\nProgramming and scripting for automation (e.g., Python, Java, or a comparable general-purpose language)\nRelational database querying (e.g., SQL)\nStructured and semi-structured data formats (e.g., JSON, XML, YAML)\nGraph query languages for retrieval, validation, and manipulation (e.g., Cypher for property graphs, SPARQL for RDF/triple stores)\nKnowledge graph concepts, including nodes, edges, relationships, and metadata schemas\nData Engineering Experience: Hands-on experience building and operating production data pipelines or ETL (Extract, Transform, Load) processes, including error handling, monitoring, and scheduling.\nGraph Database Platforms: Practical experience with at least one enterprise graph database platform, including schema design and query performance considerations.\nAPI & Systems Integration: Experience integrating heterogeneous systems through APIs across legacy, cloud, and distributed environments.\nSystems-Thinking Mindset: Ability to reason about how individual pipelines and modeling choices propagate through a broader enterprise ecosystem, and to weigh trade-offs explicitly.\nAttention to Detail: Precision in aligning metadata terms, formatting data endpoints, and maintaining technical schemas.\nCommunication & Stakeholder Engagement: Ability to explain semantic and architectural decisions to both engineering peers and non-technical mission stakeholders, and to document them durably.\nPreferred Qualifications\nOntology & Semantic Standards: Working experience with formal ontology or semantic web standards (e.g., RDF, OWL, SHACL) and with established government- or defense-related semantic models.\nAgentic AI & AI Frameworks: Experience with LLM orchestration, retrieval-augmented generation, or agentic workflows, particularly where a graph provides grounding.\nData Lineage & Metadata Standards: Applied experience with open lineage specifications or metadata management frameworks.\nData Catalogs & Stewardship: Experience with metadata catalog environments and data stewardship systems.\nWorkflow Orchestration: Experience with pipeline scheduling and orchestration tooling.\nCloud & Deployment: Familiarity with cloud data platforms, containerized deployment, and CI/CD practices.\nMission Domain Exposure: Prior experience supporting defense, intelligence community, or other regulated enterprise data environments.","description_format":"text","description_chars":8007,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":true,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["National Security","IT Consulting & Digital Transformation","Defense AI","Analytics & BI Consulting"],"lifecycle":[{"event":"open","at":"2026-09-10T22:32:30Z"}],"visa":[],"liveness":{"score":15,"band":"cold","label":"Long shot","p_open":1,"p_active":0.403,"p_room":0.36,"age_days":65,"expected_fill_days":41,"reasons":["conf:0","stale_co","velocity","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":{"stated_usd_annual":170000,"is_top_pay":true},"html_url":"https://alion.io/job/redhorsecorp-graph-data-engineer","json_url":"https://alion.io/job/redhorsecorp-graph-data-engineer.json","meta":{"generated_at":"2026-10-29T20:10:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":30041,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-30T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":684975},"rest":"https://alion.io/mcp/rest/get_company?id=684975"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fredhorsecorp-graph-data-engineer"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fredhorsecorp-graph-data-engineer"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fredhorsecorp-graph-data-engineer"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/redhorsecorp-graph-data-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fredhorsecorp-graph-data-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":672417}},{"tool":"search_jobs","arguments":{"company":"redhorsecorp.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":672417},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. Docs: https://alion.io/developers"}}