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5 дней назад

Graph and Data Engineer (Crypto)

Формат работы
remote (только Europe)
Тип работы
fulltime
Английский
b2
Страна
UK/US/Netherlands
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Graph and Data Engineer (Crypto): Building a canonical entity and knowledge graph for identity resolution, transaction reporting, and agent authorization across internal systems with an accent on privacy-preserving linkage, graph architecture, and regulatory compliance. Focus on designing bitemporal models, temporal permissions, provenance tracking, and ML-driven anomaly detection for secure, auditable multi-agent operations.

Location: Remote within Chicago, New York, London, or Amsterdam

Company

hirify.global provides regulated crypto and stablecoin infrastructure for financial institutions, fintechs, brokerages, payment companies, and marketplaces.

What you will do

  • Lead a classify-at-source pilot with Finance and Compliance, defining unified tag models and operational metrics.
  • Build entity-resolution pipelines across systems such as Slack, Jira, and Ironclad using privacy-preserving linkage and canonical IDs.
  • Design knowledge-graph architecture, schemas, temporal permissions, provenance tracking, and delegation chains for agent credentials.
  • Develop graph-based correlation, event-tracking, authorization, drift-detection, and historical-replay capabilities.
  • Apply machine learning and graph-native methods to analyze multi-agent behavior, detect anomalies, and identify shared lineage or prompts.
  • Ensure identity-layer compliance with regulatory requirements, jurisdictional data partitioning, and privacy-by-design standards.

Requirements

  • Direct experience with entity resolution, identity systems, or knowledge-graph modeling.
  • Strong Python and production experience with graph or relational data engineering.
  • Applied machine learning for resolution at scale, including embedding- or LLM-based matching and self-supervised or active-learning loops.
  • Experience designing schemas and APIs for heterogeneous human and machine consumers.
  • Ability to work directly with Finance and Compliance on a live data pilot and build foundational infrastructure for new consumers.
  • Security and privacy by design, with awareness of regulated MSB/VASP environments and the requirement to benchmark on synthetic or de-identified data rather than raw PII.

Culture & Benefits

  • Autonomous, ownership-oriented, collaborative, and transparent working environment.
  • Healthcare premiums are covered at approximately 100% for U.S. employees, with partial spouse and dependent coverage.
  • U.S. employees can access vision and dental insurance.
  • Potential equity, maternity and paternity leave after six months, and WeWork All Access Membership.
  • Work-from-home and learning-and-development annual stipends, with the L&D stipend available after six months.

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