{"id":1965921,"url":"https://alion.io/job/rch-solutions-data-engineer-knowledge-graphs-semantic-technologies","title":"Data Engineer - Knowledge Graphs & Semantic Technologies","company":{"id":3905445,"name":"RCH Solutions","domain":"rchsolutions.com","url":"https://alion.io/company/rch-solutions","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":[],"countries":[],"hiring_countries":["US"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Amazon Neptune","optional":false},{"name":"Azure DevOps","optional":false},{"name":"CI/CD","optional":false},{"name":"Git","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GraphDB","optional":false},{"name":"Kanban","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Python","optional":false},{"name":"Scrum","optional":false},{"name":"SQL","optional":false},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"GraphRAG","optional":true},{"name":"Kubernetes","optional":true},{"name":"LLM","optional":true},{"name":"Neo4j","optional":true},{"name":"PowerShell","optional":true},{"name":"Terraform","optional":true}],"status":"live","first_seen_at":"2026-10-06T15:06:03Z","employer_posted_date":null,"last_verified_at":"2026-10-06T15:06:03Z","board_verified":false,"closed_at":null,"days_open":10,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":10},"description":"Core Values\nAt RCH, our Core Values are more than just words—they represent the threads that weave together the fabric of our culture. Used as a guide when interviewing new team members; as a barometer when evaluating our performance as individuals and teams, and even when deciding which customers to work with, RCH’s Values embody the behaviors upon which we measure our success and create a framework for our growth as people and professionals.\nOur Core Values:\nEmbrace Excellence: We strive for best-in-class delivery of innovation and service.\n\nBe Accountable: Integrity, ownership and accountability are non-negotiables.\n\nAdventure Together: We are committed to fostering a culture that embraces continuous improvement.\n\nSucceed as a Team: We believe harnessing the power of a team drives outcomes not achievable by individuals.\n\nBoundaries and Balance: Work-life balance is a core facet of our culture. \n\nIf you share in our core values, then we encourage you to continue reading this posting as you may have found a great home for your career.About the profileRCH Solutions is looking for a Data Engineer specialised in knowledge graphs and semantic technologies to join our growing Data and AI Engineering team of professionals who thrive at the intersection of data, technology, and healthcare. This is a hands-on role for someone who can take ownership of a semantic layer end to end — shaping the approach with clients and colleagues, not just implementing a specification handed to them. \n\nAt RCH, you’ll build knowledge graphs in Stardog that connect fragmented life science data — across research, clinical, regulatory and operational domains — into models that people and machines can actually reason over. You’ll work alongside our data platform and AI engineers, contributing the semantic backbone to modern data mesh and data fabric architectures. \nResponsibilities\nDesign, build and evolve knowledge graphs in Stardog, from conceptual model through to production deployment. \n\nModel domain ontologies, taxonomies and vocabularies using RDF, RDFS, OWL and SKOS, and enforce them with SHACL constraints. \n\nWrite, optimise and troubleshoot SPARQL queries, rules and inference over large graphs. \n\nIntegrate heterogeneous sources into the graph using virtual graphs and mappings (R2RML and similar) from relational databases, APIs, files and semi-structured data. \n\nRun discovery sessions with subject matter experts, turning business questions into competency questions and a defensible semantic model. \n\nAlign internal models with life science standards and public ontologies, and manage identifier mapping and entity resolution across sources. \n\nAutomate graph builds, tests and deployments through CI/CD pipelines and Python tooling. \n\nEmbed data quality, validation and reconciliation checks into the graph lifecycle. \n\nDocument models and enable others — governance, lineage, and reusable semantic assets that outlive the project. \n\nWork in agile teams, contributing to standups, retrospectives, and continuous improvement. \n\nEssential Qualifications\nHands-on experience delivering production knowledge graph solutions with Stardog. Experience with other RDF triplestores (GraphDB, Amazon Neptune, Virtuoso, Anzo) counts as transferable if you’re ready to go deep on Stardog. \n\nStrong command of semantic web standards: RDF, RDFS, OWL, SKOS, SHACL and SPARQL. \n\nPractical ontology and taxonomy modelling - able to move from stakeholder conversations and messy source data to a model that holds up in production. \n\nExperience mapping and virtualising relational and semi-structured sources into a graph. \n\nSolid Python and SQL for data preparation, transformation, automation and troubleshooting. \n\nComfortable with Git-based workflows and CI/CD (GitHub Actions or Azure DevOps). \n\nExperience working with life science or healthcare data, and comfortable with the quality and regulatory expectations that come with it. \n\nAutonomy and ownership: you scope your own work, propose an approach, defend it, and bring the team along — rather than waiting for a fully specified ticket. \n\nWorking knowledge of data quality, validation frameworks, and test-driven data development. \n\nTeam-first mindset and experience in agile environments (Scrum or Kanban). \n\nPreferred Qualifications\nFamiliarity with public life science ontologies and terminologies (e.g. SNOMED CT, MeSH, ChEBI, UMLS, LOINC). \n\nExposure to at least one life science domain: clinical and clinical trial data (CDISC, SDTM), R&D and drug discovery, regulatory (RIM, IDMP), or manufacturing, supply chain and quality. \n\nUnderstanding of GxP or other healthcare data regulations. \n\nFamiliarity with FAIR data principles. \n\nExperience combining graphs with AI — GraphRAG, vector search, or LLM-assisted ontology work. \n\nExposure to property graphs (e.g. Neo4j) and how they compare with RDF. \n\nKnowledge of data lineage, catalog and governance tooling. \n\nInfrastructure automation using Terraform, Bash, or PowerShell, and containers (Docker, Kubernetes).\n\nAdditional information\nGreat talent should benefit from a great work environment. If you join our team, you’ll have access to:\nA competitive salary and bonus package based on experience.\n\nComprehensive health and wellness benefits, including Medical, Dental, and Vision Insurance.\n\nCompany-provided Life and Long-Term Disability Insurance.\n\nCompany-sponsored 401(k) Plan.\n\nTeam-focused culture and unlimited opportunity for advancement.\n\n**This is a remote role and the candidate must be available to work on an East Coast (US) time schedule.\n\n**Role is only open to applicants not needing sponsorship now or in the future, no third parties please.Originally posted on Himalayas","description_format":"text","description_chars":5711,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Vision insurance"],"hiring_locations":[{"name":"United States","iso":"US","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Biotechnology"],"lifecycle":[{"event":"open","at":"2026-10-06T17:28:00Z"}],"visa":[],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.811,"p_room":1,"age_days":9,"expected_fill_days":38,"reasons":["seen:9","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/rch-solutions-data-engineer-knowledge-graphs-semantic-technologies","json_url":"https://alion.io/job/rch-solutions-data-engineer-knowledge-graphs-semantic-technologies.json","meta":{"generated_at":"2026-10-16T20:08:23Z","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":637,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"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":3905445},"rest":"https://alion.io/mcp/rest/get_company?id=3905445"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Frch-solutions-data-engineer-knowledge-graphs-semantic-technologies"},{"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%2Frch-solutions-data-engineer-knowledge-graphs-semantic-technologies"},{"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%2Frch-solutions-data-engineer-knowledge-graphs-semantic-technologies"},{"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/rch-solutions-data-engineer-knowledge-graphs-semantic-technologies\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Frch-solutions-data-engineer-knowledge-graphs-semantic-technologies"}]}