Graph and Data Engineer

🔥 13 hours ago

🌐 United States, United Kingdom, +1 more countries – Remote

🇺🇸 United States – Remote 🇬🇧 United Kingdom – Remote 🇳🇱 Netherlands – Remote

🌽 Illinois, New York – Remote

🌽 Illinois – Remote 🗽 New York – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zero Hash

WebsiteLinkedInAll Job Openings

51 - 200 employees

💳 Fintech

₿ Crypto

🌐 Web 3

💰 $105M Series D on 2022-01

Fintech • Crypto • Web 3

Zero Hash is a company that provides infrastructure solutions for the integration of crypto and stablecoin products into various platforms. By offering API-first technology and turnkey regulatory infrastructure, Zero Hash enables businesses, especially in the fintech, payments, and banking sectors, to develop and launch crypto and stablecoin products efficiently and compliantly. Their services cover a wide range of applications including investments, trading platforms, payment gateways, and brands, focusing on simplifying the process of managing custody, liquidity, and settlement for their clients. Zero Hash supports over 60 digital assets and is operational in over 200 countries.

📋 Description

• Build a canonical entity and knowledge graph across Intelligence Core connectors to resolve identities • Lead the classify-at-source pilot with Finance and Compliance to establish unified tag models and metrics • Establish shadow-AI and agent-identity registers defining ownership, access controls, and data permissions • Build entity resolution pipelines across Slack, Jira, and Ironclad using privacy-preserving linkage and canonical IDs • Develop graph-based correlation capabilities and establish baseline metrics for operational throughput and SAR false positives • Ground operational agents in the shared graph for unified event tracking, reasoning, and real-time authorization • Define graph architecture, schemas, temporal permissions, and provenance tracking • Maintain data accuracy with bitemporal modeling, automated drift detection, and historical replay • Model delegation chains and agent credentials anchored to human principals • Deploy ML and graph-native methods to analyze multi-agent behavior, detect anomalies, and identify shared lineage or prompts • Evaluate and integrate emerging graph and identity-resolution research • Enforce regulatory compliance, jurisdictional data partitioning, and privacy-by-design standards

🎯 Requirements

• Direct experience with entity resolution, identity systems or knowledge-graph modelling • Strong Python plus graph or relational data engineering in production • Applied ML for resolution at scale, potentially including embedding- and LLM-based matching, self-supervised and active-learning loops • Discipline to benchmark before trusting, on synthetic or de-identified sets, since raw PII never enters an evaluation • 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 • Experience designing for an identity layer in an MSB/VASP environment • Comfort building a foundational layer whose consumers don't exist yet

🏖️ Benefits

• Healthcare Insurance: zerohash covers roughly 100% of employee premiums as well as a portion of spouse/children (U.S. only) • Vision & Dental Insurance (U.S. only) • Chance to earn equity • Maternity & Paternity leave (after 6 months) • WeWork All Access Membership • WFH Yearly Stipend • L&D Yearly Stipend (after 6 months)