Graph and Data Engineer

🔥 22 horas atrás

🌐 Estados Unidos, Reino Unido, +1 outros países – Remoto

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🌽 Illinois, New York – Remoto

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⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 12%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Zero Hash

Zero Hash

51 - 200 funcionários

💳 Fintech

₿ Cripto

🌐 Web 3

💰 $105.000.000 Series D em 2022-01

Fintech • Crypto • Web 3

Zero Hash é uma empresa que fornece soluções de infraestrutura para integrar produtos de cripto e stablecoins a diversas plataformas. Ao oferecer tecnologia API-first e infraestrutura regulatória turnkey, a Zero Hash permite que empresas, especialmente nos setores de fintech, pagamentos e bancário, desenvolvam e lancem produtos de cripto e stablecoins de forma eficiente e em conformidade. Seus serviços cobrem uma ampla gama de aplicações, incluindo investimentos, plataformas de trading, gateways de pagamento e marcas, com foco em simplificar o processo de gestão de custódia, liquidez e liquidação para seus clientes. A Zero Hash oferece suporte a mais de 60 ativos digitais e atua em mais de 200 países.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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)

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