Data Systems Engineer
Bluprynt provides compliance and verification data for tokenized and onchain asset markets. Its products help issuers, exchanges, custodians, lenders, insurers, and regulators verify identity, collateral, and regulatory disclosures.
Funding history
About Bluprynt
Bluprynt operates a compliance data platform for tokenized markets, delivering machine-readable credentials and verified data for onchain assets. Its products include Know Your Issuer for cryptographic issuer and mint-authority verification, Proof of Collateral for validating asset backing and encumbrance, and Smart Disclosures for organizing regulatory filings and exporting machine-readable reports. The company serves institutional participants including exchanges, custodians, lenders, insurers, regulators, and token issuers.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own the technical architecture and delivery of a compliance data platform. You will write Python and TypeScript code, design PostgreSQL schemas, build multi-source ingestion and ETL/ELT pipelines, integrate external APIs, interact with blockchain registries, automate workflows with AI agents, and translate regulatory and product requirements into scalable engineering solutions. You will also manage engineering contributors and own technical roadmaps.
Requirements
- Python engineering for data-intensive systems
- TypeScript and Node.js backend development
- PostgreSQL schema design
- API integration architecture
- Multi-source data ingestion
- ETL/ELT architecture
- Structured vocabulary schema design
- Smart contract interaction
- On-chain registry design
- Engineering team management
- Technical roadmap ownership
- AI agent orchestration
- Workflow automation
- AI-assisted testing
- Regulatory or compliance technology experience
- LLM integration
- Multi-chain experience
- AWS infrastructure
- Infrastructure as code
Responsibilities
- Own the technical architecture and delivery of the data platform
- Write production code daily
- Design PostgreSQL schemas for multi-tenant compliance data
- Build API polling, webhook, and event-driven integrations
- Design and build multi-source ETL/ELT pipelines
- Process structured and unstructured data
- Implement scheduling, retries, and observability
- Design versioned taxonomies and controlled vocabularies
- Read and write to on-chain registries
- Manage external or embedded engineering teams
- Translate product requirements into phased engineering specifications
- Own the technical roadmap
- Design and deploy multi-agent workflows
- Automate testing and data quality checks
- Ship product increments and iterate in production
Benefits
- Ground-floor equity
- Remote work