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Graph and Data Engineer

Zero Hash · Chicago, IL · Remote

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About Zero Hash

zerohash provides API-first technology and turnkey regulatory infrastructure to launch and scale compliant crypto and stablecoin products quickly and securely.

About the role

This role builds a canonical entity and knowledge graph across Intelligence Core connectors to resolve identities (people, agents, systems, data entities). The entity layer supports data classification at the source to unify transaction reporting. Core Objective: Automate system-level identity, authority and permissions. Found on 1752vc Careers, the job board for startup and VC roles.

What they're looking for

  • Direct experience with entity resolution, identity systems or knowledge-graph modelling
  • Strong Python plus graph or relational data engineering in production
  • Schema and API design for heterogeneous consumers, human and machine
  • Comfort working directly with Finance and Compliance colleagues on a live data pilot from the first weeks
  • Security and privacy by design as a working habit: an identity layer in an MSB/VASP environment is regulated surface, and you design accordingly
  • Comfort building a foundational layer whose consumers don't exist yet
More about this role

This role builds a canonical entity and knowledge graph across Intelligence Core connectors to resolve identities (people, agents, systems, data entities). The entity layer supports data classification at the source to unify transaction reporting.

Core Objective: Automate system-level identity, authority and permissions.

Strategic Importance: Underpins security, core authority models, registers, and kill switches internally, while providing the foundation for agentic commerce credentials externally.

  • Lead the classify-at-source pilot with Finance and Compliance to establish unified tag models and metrics without re-derivation.
  • Establish shadow-AI and agent-identity registers to define ownership, access controls, and data permissions.
  • Build entity resolution pipelines across internal systems (Slack, Jira, Ironclad) using privacy-preserving linkage and canonical IDs.
  • Develop graph-based correlation skills (e.g., Jira gap-finder) and establish verifiable baseline metrics for operational throughput and SAR false positives.
  • Ground operational agents in the shared graph to deliver unified event tracking, reasoning, and real-time authorization.
  • Define graph architecture,...

Read the full posting on Zero Hash's site ↗

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