ashby
Data Engineer (Founding Team)
Fabrion
California, USA
Full-time
Mid · 5+ years experience
Onsite
Discovered 1 weeks ago
Ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran)Data pipelinesSnowflakeIcebergDeltaParquet
Free
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Ready to ScanKey skills for this role
Ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran)Data pipelinesSnowflake
Role Overview
We’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.
We'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.
If 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.
Key Skills for This Role
Ingestion frameworks (Kafka, Airbyte, Meltano, Fivetran)Data pipelinesSnowflakeIcebergDeltaParquet
Full Job Posting
Location
- San Francisco Bay Area
- Type: Full-Time
Compensation
- Competitive salary + early-stage equity
- Backed by 8VC, we're building a world-class team to tackle one of the industry’s most critical infrastructure problems.
About the Role
We’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.
We'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.
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