Fabrion · 2 months ago
Data Engineer (Founding Team)
San Francisco, CA
Full-time
Onsite
Senior Level
5+ years expFabrion is a company backed by 8VC, focused on building a multi-tenant, AI-native platform to tackle critical infrastructure problems in the industry. The Data Engineer will be responsible for building reliable data ingestion and transformation pipelines, designing the data fabric layer, and collaborating with ML teams to enhance model training with high-quality enterprise data.
Artificial Intelligence (AI)Machine Learning
Responsibilities
Build highly reliable, scalable data ingestion and transformation pipelines across structured, semi-structured, and unstructured data sources
Develop and maintain a connector framework for ingesting from enterprise systems (ERPs, PLMs, CRMs, legacy data stores, email, Excel, docs, etc.)
Design and maintain the data fabric layer — including a knowledge graph (Neo4j or Puppygraph) enriched with ontologies, metadata, and relationships
Normalize and vectorize data for downstream AI/LLM workflows — enabling retrieval-augmented generation (RAG), summarization, and alerting
Create and manage data contracts, access layers, lineage, and governance mechanisms
Build and expose secure APIs for downstream services, agents, and users to query enriched semantic data
Collaborate with ML/LLM teams to feed high-quality enterprise data into model training and tuning pipelines
Qualification
Required
5+ years building large-scale data infrastructure in production environments
Deep experience with ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran) and data pipeline orchestration (Airflow, Dagster, Prefect)
Comfortable processing unstructured data formats: PDFs, Excel, emails, logs, CSVs, web APIs
Experience working with columnar stores, object storage, and lakehouse formats (Iceberg, Delta, Parquet)
Strong background in knowledge graphs or semantic modeling (e.g. Neo4j, RDF, Gremlin, Puppygraph)
Familiarity with GraphQL, RESTful APIs, and designing developer-friendly data access layers
Experience implementing data governance: RBAC, ABAC, data contracts, lineage, data quality checks
You're a system thinker: you want to model the real world, not just process it
Comfortable navigating ambiguous data models and building from scratch
Passionate about enabling AI systems with real-world, messy enterprise data
Pragmatic about scalability, observability, and schema evolution
Value autonomy, high trust, and meaningful ownership over infrastructure
Preferred
Prior work with vector DBs (e.g. Weaviate, Qdrant, Pinecone) and embedding pipelines
Experience building or contributing to enterprise connector ecosystems
Knowledge of ontology versioning, graph diffing, or semantic schema alignment
Familiarity with data fabric patterns (e.g. Palantir Ontology, Linked Data, W3C standards)
Familiar with fine-tuning LLMs or enabling RAG pipelines using enterprise knowledge
Experience enforcing data access policy with tools like OPA, Keycloak, Snowflake row-level security
Benefits
Competitive salary
Early-stage equity
Company
Fabrion
Fabrion is an AI-native platform purpose-built for the new industrial era
2-10 employees
Funding
Current Stage
Early StageTotal Funding
unknown2026-01-01Seed
Company data provided by crunchbase