出海雷达

数据系统工程师

Data Systems Engineer

开发工程全球可投
公司Bluprynt
薪资未公开
工作地点不限地点
地域资格全球可投
时区要求无特别要求
用工类型未标注
发布时间未知
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全球可投:该职位未限制候选人所在地区。仍需注意薪资可能按地区折算,以及实际签约方式(正式雇佣 / 独立合同)。

Tags: Web3 职位 • 区块链开发职位 • Web3 数据职位 • 区块链远程职位 • 区块链全职职位
为代币化资产构建合规数据平台
Bluprynt 是数字资产的合规操作系统——企业级基础设施层,连接链下合规与链上身份、政策和监管可见性。Bluprynt 被 TradFi 和 DeFi 领域的领导者所信赖,并与全球央行和监管机构紧密合作,帮助发行人、银行和市场参与者满足监管要求,同时不牺牲链上系统的速度和模块化。
公司完成了欧盟首个 MiCA 试点,与 Paxos 和 Circle 合作推出了“了解发行人”(KYI),与 Chainlink 合作在链上自动化合规执行,并在 2026 年以超募的 425 万美元种子轮融资完成,投资方包括 Coinbase 和 Robinhood。
我们正在招聘一名数据系统工程师,负责我们数据平台的技术架构和交付。这是一个需要亲自动手的职位。你将每天编写代码,设计系统,并交付产品——同时将复杂的监管和产品需求转化为干净、可扩展的工程解决方案。需要具备良好的英语沟通能力,并能够配合核心 EST 时间工作。

必须具备:技术基础
Python(主要)和 TypeScript / Node.js
在数据密集型系统中出色的 Python 工程能力;Node.js/TypeScript 用于后端服务、异步模式和大规模 API 设计。
PostgreSQL 模式设计
多租户合规数据的关系建模、索引策略、迁移流程。
API 集成架构
设计跨多个外部供应商(如:RWA.xyz、TRM Labs、CipherOwl、Chainlink、GLEIF)的轮询、Webhook 和事件驱动管道。
多源数据摄入与管道架构
设计和构建从多个异构源(API、数据库、文档、链上数据流)摄入数据的 ETL/ELT 架构,处理结构化和非结构化数据,并通过调度、重试和可观测性执行可定制的计算逻辑。
结构化词汇表的模式设计
带版本控制的分类法、受控词汇表或类似本体的系统,支持交叉引用解析。
必须具备:区块链与 Web3
智能合约交互
读写链上注册表,理解 gas 机制、交易生命周期和多链部署模式。
链上注册表设计
凭证发行/撤销

查看英文原文

Tags: Web3 Jobs • Blockchain Developer Jobs • Cryptocurrency Data Jobs • Cryptocurrency Remote Jobs • Web3 Full Time JobsBuilding the compliance data platform for tokenized assetsBluprynt is the Compliance OS for digital assets—the enterprise-grade infrastructure layer linking off-chain compliance with on-chain identity, policy, and supervisory visibility. Trusted by leaders across TradFi and DeFi and built in close alignment with central banks and regulators worldwide, Bluprynt helps issuers, banks, and market participants meet regulatory expectations without sacrificing the speed and modularity of on-chain systems.The company completed the EU's first MiCA pilot, launched Know Your Issuer (KYI) with Paxos and Circle, partnered with Chainlink on automated on-chain compliance enforcement, and closed an oversubscribed $4.25M Seed round in 2026 with investors including Coinbase and Robinhood.We are hiring a Data Systems Engineer to own the technical architecture and delivery of our data platform. This is a hands-on role. You will write code daily, design systems, and ship product—while translating complex regulatory and product requirements into clean, scalable engineering solutions. Strong English communication skills and the ability to work core EST hours are required.The barMust-Have: Technical FoundationPython (primary) and TypeScript / Node.jsExceptional Python engineering for data-intensive systems; Node.js/TypeScript for backend services, async patterns, and API design at scale.PostgreSQL schema designRelational modeling for multi-tenant compliance data, indexing strategy, migration workflows.API integration architectureDesigning polling, webhook, and event-driven pipelines across multiple external providers (think: RWA.xyz, TRM Labs, CipherOwl, Chainlink, GLEIF).Multi-source data ingestion & pipeline architectureDesigning and building ETL/ELT architectures that ingest from multiple heterogeneous sources (APIs, databases, documents, on-chain feeds), process both structured and unstructured data, and execute customizable computation logic with scheduling, retries, and observability.Schema design for structured vocabulariesVersioned taxonomies, controlled vocabularies, or ontology-like systems with cross-reference resolution.Must-Have: Blockchain & Web3Smart contract interactionReading and writing to on-chain registries, understanding gas mechanics, transaction lifecycle, and multi-chain deployment patterns.On-chain registry designCredential issuance/revocation, attestation hash anchoring, IPFS metadata storage.Must-Have: LeadershipManaging external or embedded engineering teamsInfluence without direct authority, expectation setting, code review culture, knowledge transfer.Product-to-engineering translation & technical roadmap ownershipExceptional ability to decompose ambiguous product requirements into precise, phased engineering specifications; scope negotiation, dependency mapping, and shipping increments with clarity.Startup velocityComfort with ambiguity, bias toward shipping V1 with known limitations, iterating in production.Must-Have: AI Literacy & AutomationAI agent orchestration & workflow automationActively using LLMs, AI agents, and orchestration frameworks (e.g. LangChain, LangGraph, CrewAI, or similar) to build faster with equal or better quality; must be able to design and deploy multi-agent workflows as a core part of the development process.AI-assisted testing & quality automationLeveraging AI tools to automate test generation, validation pipelines, and data quality checks; comfort using AI to accelerate development cycles without sacrificing reliability.Strong-to-HaveRegulatory or compliance technology experience (KYC/AML, regulatory reporting, credential/certification systems).LLM integration for structured data extraction, taxonomy suggestion, confidence-scored classification, and RAG or retrieval-augmented systems for domain-specific knowledge bases.Multi-chain experience beyond EVM (Solana, Aptos, Stellar, Avalanche).RAG or retrieval-augmented systems for domain-specific knowledge bases.Experience with institutional custody platforms (Fireblocks, BitGo) or MPC/multi-sig architectures.AWS infrastructure (ECS/EKS, RDS, Lambda, SQS) and infrastructure-as-code.Apply here 👉 Data Systems Engineer

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