> Markdown version of [/jobs/ext/3759162-graph-and-data-engineer](https://www.wearedevelopers.com/jobs/ext/3759162-graph-and-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Graph and Data Engineer - **Company:** zerohash trust company llc - **Location:** United States (Remote available) - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, JIRA, Encodings, Relational Databases, Graph Database, Intrusion Detection Systems, Python (Programming Language), Machine Learning, Workday Integrations, Privacy Controls, Data Classification, Large Language Models, Api Design, Entity Resolution - **Published:** October 15, 2026 - **Apply:** https://www.wayup.com/i-j-Graph-and-Data-Engineer-zerohash-959329485261496/ ## About the Role + Independence/Ownership - An ability to work autonomously. Join zerohash, pitch ideas, and shape the work you do. + Passion - We are innovating quickly and challenging the status quo. We want you to think big, be creative and make a difference every day. + Collaborative - A good attitude and respect for others. We're teammates, not co-workers. Everything we do is a shared success and equally a shared failure - we talk in terms of "we" not "me". + Initiative - An ability and passion for learning and asking questions. We will champion you, challenge you and push you to achieve your best - and we expect you to do the same. + Empathy - An ability to listen, respect, and understand your co-workers, customers, and everyone you interact with no matter how different they are to you. + Adaptability - An ability to respond quickly. We are in a fast-paced industry and so we expect you to be creative when solving a new problem and comfortable under pressure. + Transparency - We believe that transparency is critical to empowering everyone to make the best decisions, both the company to its people and vice versa. + Integrity - Integrity creates trust. As both an organization collectively and as individuals, it is our most valuable asset. ## Description 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. Responsibilities + 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, governing schemas, temporal permissions, and provenance tracking to ensure full auditability and agent compatibility. + Maintain data accuracy using bitemporal modeling, automated drift detection, and historical replay capabilities for compliance. + Model delegation chains and agent credentials anchored to human principals for secure external interoperability. + Deploy ML and graph-native methods to analyze multi-agent behaviors, detect anomalies, and identify shared lineage or prompts. + Evaluate and integrate emerging graph and identity resolution research. + Enforce strict regulatory compliance, jurisdictional data partitioning, and privacy-by-design standards across the identity layer. 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, with the 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: 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., For candidates based in Colorado, please contact colorado-wages @zerohash.com to request compensation and benefits information regarding a particular role(s). Please include with your email the city you reside (or intend to reside in Colorado) and the title/link to the roles you're interested in. **We've recently seen an increase in individuals impersonating zerohash recruiters to target job seekers. Please stay vigilant and keep the following in mind to ensure you are communicating with the real zerohash team: + Verified Emails Only: Official outreach will only come from a @zerohash.com email address. + No Messaging Apps: We will never contact you via unsolicited text messages, WhatsApp, or Telegram. + Official Applications: Only apply directly through our careers webpage (zerohash.com/careers) or zero-hash.breezy.hr. See something suspicious? If you want to verify an interview request or report a fake job posting or suspicious communication, please contact us immediately at talent @zerohash.com. This email is for fraud reports only. Candidate application inquiries will not be responded to.