Job Description:
As a Data Engineer specializing in blockchain analytics, you will play a pivotal role in transforming raw on-chain data into actionable insights. Your responsibilities will span across multiple domains:
- Multi-source Heterogeneous Data Governance: Manage ingestion, cleaning and standardization of raw on-chain data (EVM, Solana etc.), social media sentiment data, and exchange API feeds
- Feature Engineering: Collaborate with analysts to translate complex business logic (e.g., token concentration, whale behavior anomalies, liquidity asymmetry) into computable feature factors
- Quantitative Scoring Engine Development: Build multi-factor scoring models including standardization (Z-Score, Min-Max), weight allocation logic implementation, and score aggregation
- Backtesting Support: Create efficient data backtesting environments to validate indicator effectiveness across historical market conditions and dynamically adjust scoring parameters
- Real-time Alert Pipeline: Maintain low-latency ETL pipelines ensuring millisecond-level processing from trigger to final score output for core metrics
Job Requirements:
The ideal candidate possesses a unique combination of technical prowess and financial acumen:
- Core Development Skills: Expert proficiency in Python and SQL with experience handling high-volume concurrent data streams; familiarity with Redis, MongoDB or high-performance time-series databases
- Financial Modeling: Solid understanding of mathematical statistics including weight allocation, indicator denoising, and weighted aggregation methodologies
- Web3 Protocol Expertise: Ability to independently parse smart contract logs; deep understanding of DEX liquidity models (Uniswap/Raydium); capability to distinguish between wash trading and genuine transactions
- Engineering Mindset: Rigorous approach to building automated monitoring scripts for data anomaly detection and self-healing systems to ensure 100% scoring reliability
- AI Toolchain Proficiency: Practical experience leveraging LLMs for data classification, sentiment analysis, and code optimization
Benefits:
This position offers performance-based research investment carry bonuses distributed according to individual contribution. Additional benefits include:
- Competitive compensation package with equity options
- Cutting-edge technology stack and research environment
- Opportunities to publish findings in industry publications
- Continuing education budget for professional development
- Flexible remote work arrangements
