Data Systems Engineer

Bluprynt; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Bluprynt is building a compliance data platform for tokenized assets. We seek a Data Systems Engineer to own architecture, write code daily, and deliver scalable data pipelines that connect off-chain compliance with on-chain identity and policy.

Strong English communication and EST-hours alignment are required. The role spans technical foundation, blockchain/Web3, leadership, and AI automation, with multi-source data ingestion, registry design, and integration across external providers.

Qualifications

• Strong Python engineering for data-intensive systems and backend services.
• Experience with TypeScript/Node.js for scalable API design.
• Relational data modeling and multi-tenant schemas.
• Designing ETL/ELT pipelines from diverse data sources.
• Versioned taxonomies and structured vocabularies.
• Reading/writing to on-chain registries and understanding gas.
• Ability to manage external engineering teams and set product roadmaps.
• Comfort with shipping V1 and iterating in production.
• Experience in AI agent orchestration and automated QA.
• Familiarity with regulatory tech (KYC/AML) is a plus.

Responsibilities

• Own data platform architecture and delivery in a hands-on role.
• Translate regulatory and product requirements into scalable engineering solutions.
• Design systems for multi-source data ingestion and policy-driven workflows.
• Collaborate with external vendors and internal stakeholders.
• Lead with focus on shipping features quickly while maintaining quality.

Skills

Python

TypeScript/Node.js

PostgreSQL

API design

ETL/ELT pipelines

Schema design

Smart contract interaction

On-chain registry design

Leadership

Product-to-engineering translation

Startup velocity

AI workflow automation

AI testing & QA automation

Regulatory/compliance tech

LLM integration

Multi-chain experience

AWS infrastructure

Tools

LangChain

LangGraph

CrewAI

Chainlink

PostgreSQL tools

AWS (ECS/EKS)

Job description

Building the compliance data platform for tokenized assets

Bluprynt 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 bar

Must-Have: Technical Foundation

• Python (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 & Web3

• Smart 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: Leadership

• Managing 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 & automation

• AI 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-Have

• Regulatory 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.