{"id":745203,"url":"https://alion.io/job/fabrion-data-engineer-founding-team","title":"Data Engineer (Founding Team)","company":{"id":720009,"name":"Fabrion","domain":"fabrion.com","url":"https://alion.io/company/fabrion-2","size_band":"51-200","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":75,"open_postings":7,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["San Francisco, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":140000,"max_usd":265000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":1343},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Apache Kafka","optional":false},{"name":"Dagster","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GraphQL","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"LLM","optional":false},{"name":"Neo4j","optional":false},{"name":"Prefect","optional":false},{"name":"RAG","optional":false},{"name":"Rest API","optional":false},{"name":"Fine-tuning","optional":true},{"name":"Keycloak","optional":true},{"name":"Pinecone","optional":true},{"name":"Qdrant","optional":true},{"name":"Snowflake","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2025-08-11T01:08:16Z","employer_posted_date":"2025-08-11","last_verified_at":"2026-10-29T04:39:58Z","board_verified":true,"closed_at":null,"days_open":444,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":444},"description":"Data/ETL Engineer (Founding Team)\nLocation: San Francisco Bay Area\nType: Full-Time\nCompensation: Competitive salary + early-stage equity\nBacked by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.\nAbout the Role\nWe’re building a multi-tenant, AI-native platform where enterprise data becomes actionable through semantic enrichment, intelligent agents, and governed interoperability. At the heart of this architecture lies our Data Fabric - an intelligent, governed layer that turns fragmented and siloed data into a connected ontology ready for model training, vector search, and insight-to-action workflows.\nWe're looking for engineers who enjoy hard data problems at scale: messy unstructured data, schema drift, multi-source joins, security models, and AI-ready semantic enrichment. You’ll build the backend systems, data pipelines, connector frameworks, and graph-based knowledge models that fuel agentic applications.\nIf you've worked on streaming unstructured pipelines, built connectors into ugly legacy systems, or mapped knowledge graphs that scale - this role will feel like home.\nResponsibilities\nBuild highly reliable, scalable data ingestion and transformation pipelines across structured, semi-structured, and unstructured data sources\n\nDevelop and maintain a connector framework for ingesting from enterprise systems (ERPs, PLMs, CRMs, legacy data stores, email, Excel, docs, etc.)\n\nDesign and maintain the data fabric layer - including a knowledge graph (Neo4j or Puppygraph) enriched with ontologies, metadata, and relationships\n\nNormalize and vectorize data for downstream AI/LLM workflows - enabling retrieval-augmented generation (RAG), summarization, and alerting\n\nCreate and manage data contracts, access layers, lineage, and governance mechanisms\n\nBuild and expose secure APIs for downstream services, agents, and users to query enriched semantic data\n\nCollaborate with ML/LLM teams to feed high-quality enterprise data into model training and tuning pipelines\n\nWhat We’re Looking For\nCore Experience:\n5+ years building large-scale data infrastructure in production environments\n\nDeep experience with ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran) and data pipeline orchestration (Airflow, Dagster, Prefect)\n\nComfortable processing unstructured data formats: PDFs, Excel, emails, logs, CSVs, web APIs\n\nExperience working with columnar stores, object storage, and lakehouse formats (Iceberg, Delta, Parquet)\n\nStrong background in knowledge graphs or semantic modeling (e.g. Neo4j, RDF, Gremlin, Puppygraph)\n\nFamiliarity with GraphQL, RESTful APIs, and designing developer-friendly data access layers\n\nExperience implementing data governance: RBAC, ABAC, data contracts, lineage, data quality checks\n\nMindset & Culture Fit:\nYou’re a system thinker: you want to model the real world, not just process it\n\nComfortable navigating ambiguous data models and building from scratch\n\nPassionate about enabling AI systems with real-world, messy enterprise data\n\nPragmatic about scalability, observability, and schema evolution\n\nValue autonomy, high trust, and meaningful ownership over infrastructure\n\nBonus Skills\nPrior work with vector DBs (e.g. Weaviate, Qdrant, Pinecone) and embedding pipelines\n\nExperience building or contributing to enterprise connector ecosystems\n\nKnowledge of ontology versioning, graph diffing, or semantic schema alignment\n\nFamiliarity with data fabric patterns (e.g. Palantir Ontology, Linked Data, W3C standards)\n\nFamiliar with fine-tuning LLMs or enabling RAG pipelines using enterprise knowledge\n\nExperience enforcing data access policy with tools like OPA, Keycloak, Snowflake row-level security\n\nWhy This Role Matters\nAgents are only as smart as the data they operate on. This role builds the foundation - the semantic, governed, connected substrate - that makes autonomous decision-making and agent action possible. From factory ERP records to geopolitical news alerts, the data fabric unifies it all.\nIf you're excited to tame complexity, unify chaos, and power intelligent systems with trusted data - we’d love to hear from you.","description_format":"text","description_chars":4147,"description_truncated":false,"requirements":{"experience_years_min":5,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Equity"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Industrial AI","Supply Chain AI"],"lifecycle":[{"event":"open","at":"2026-09-11T13:57:11Z"}],"visa":[{"country":"US","licensed_sponsor":true,"evidence":"H-1B filings in 12 months: 1","filings_12m":1,"filings_prev_12m":0,"green_card_filings_12m":0,"median_offered_wage_usd":167500,"route":null,"cap_exempt":false,"checked_at":"2026-10-15T11:24:14+00:00","sources":["US Department of Labor: LCA disclosure data (H-1B, H-1B1, E-3)"],"filings_for_role_12m":0}],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.298,"p_room":0.28,"age_days":444,"expected_fill_days":36,"reasons":["conf:1","urgency","win:tail","crowd:"],"computed_at":"2026-10-29T05:49:05Z"},"pay":null,"html_url":"https://alion.io/job/fabrion-data-engineer-founding-team","json_url":"https://alion.io/job/fabrion-data-engineer-founding-team.json","meta":{"generated_at":"2026-10-29T08:39:40Z","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":13065,"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":720009},"rest":"https://alion.io/mcp/rest/get_company?id=720009"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Ffabrion-data-engineer-founding-team"},{"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%2Ffabrion-data-engineer-founding-team"},{"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%2Ffabrion-data-engineer-founding-team"},{"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/fabrion-data-engineer-founding-team\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Ffabrion-data-engineer-founding-team"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":745203}},{"tool":"search_jobs","arguments":{"company":"fabrion.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":745203},"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. 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