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Blockchain Engineer
- Saint Paul, Illinois, United States
- Saint Paul, Illinois, United States
Über
Responsibilities
Blockchain Data Engineering
Develop and maintain Solana blockchain ingestion systems
Work with Solana Validator and Geyser plugins
Parse and decode on-chain transactions, logs, and program instructions
Implement reliable block, transaction, and account indexing pipelines
Handle slot tracking, forks, and reorg scenarios
On-Chain Intelligence Development
Decode SPL token transfers and major Solana DeFi protocols
Build logic for wallet activity tracking, token movement analysis, liquidity and trading behavior detection
Design derived blockchain datasets for analytics and AI models
Collaborate with data engineers to publish structured events into streaming systems
Protocol & Ecosystem Integration
Integrate data from Solana programs (DEXs, liquidity pools, NFT protocols)
Maintain program decoder libraries
Monitor protocol upgrades and ecosystem changes
Optimize blockchain querying and indexing performance
Platform Collaboration
Work with backend engineers on real-time processing pipelines
Collaborate with DevOps teams on validator deployment and performance tuning
Support ML teams with structured blockchain datasets
Participate in architecture discussions and technical planning
Qualifications
3+ years software engineering experience
Hands-on experience working within the Solana blockchain ecosystem
Strong understanding of:
Solana accounts model
transactions & instructions
SPL Token program
RPC & WebSocket APIs
Experience building blockchain integrations or payment systems
Experience with Rust, Go, or TypeScript
Understanding of secure transaction handling and confirmations
Additional details We’re building a real-time analytics platform for the Solana ecosystem. You’ll design and implement low-latency data ingestion and processing pipelines that power smart alerts (real-time notifications), wallet Intelligence (behavioral scoring, flow tracking, smart money detection), token Health Metrics (liquidity, holders, manipulation indicators), anomaly Detection (fraud / rug pull / wash trading signals), predictive Insights (ML-driven probability forecasts).
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Sprachkenntnisse
- English
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