
On-chain Engineer
2 weeks ago
A highly successful crypto-native hedge fund is looking for a Front-Office On-Chain Engineer to design and maintain data infrastructure, extract insights from blockchain datasets, and collaborate with researchers to support alpha generation. This position focuses on four core areas:
- **Data Engineering**: Build scalable data pipelines and work with tools like Snowflake and DBT.
- **Blockchain Datasets**: Manage and analyze complex on-chain data across L1s, L2s, and DeFi protocols.
- **Research Support**: Collaborate closely with researchers to generate actionable insights and trading analytics.
- **Python Development**: Write efficient scripts to support data workflows and analytics (Python is a secondary focus).
This role will directly impact the research and trading strategy by creating clean, reliable data systems and actionable on-chain analytics.
**Responsibilities**
**Data Pipelines and Infrastructure**:
- Build and optimize scalable pipelines for ingesting and transforming blockchain data.
- Design and maintain Snowflake data warehouses for high-volume blockchain datasets.
- Use DBT to implement efficient data transformation workflows.
- Ensure cross-chain data consistency and quality with rigorous validation processes.
**On-Chain Data Analysis**:
- Extract, clean, and process blockchain data from L1s, L2s, and cross-chain protocols.
- Work with logs, events, smart contract interactions, and transaction-level data.
- Analyze activity related to DeFi protocols, token flows, liquidity dynamics, and wallet activity.
- Use tools like The Graph and Dune Analytics for querying blockchain data.
**Collaborate with Researchers**:
- Partner with on-chain researchers to design datasets and metrics for alpha generation.
- Develop indicators, wallet attribution models, and analytics to support trading ideas.
- Build dashboards and visualizations to make on-chain datasets accessible and useful for research.
**Python Development**:
- Write scripts for data extraction, cleaning, and transformation.
- Support real-time blockchain event monitoring and integration with research workflows.
- Utilize Web3 libraries (e.g., Web3.py) to interact with blockchain RPCs and APIs.
**Hard Requirements**
**Core Expertise**
**Data Engineering**:
- Strong experience with Snowflake for data warehousing and DBT for data modeling and transformation.
- Proven ability to design and maintain scalable pipelines for large datasets.
**Blockchain Datasets**:
- In-depth knowledge of blockchain architectures, event logs, and DeFi protocols.
- Hands-on experience working with blockchain RPCs, indexers (e.g., The Graph, Dune Analytics), and smart contract data.
- Familiarity with tokenomics, liquidity pools, cross-chain protocols, and transaction-level data.
**Research Support**:
- Ability to collaborate with researchers to design and deliver data-driven insights.
- Experience working on wallet attribution, on-chain metrics, and actionable signals.
- Strong understanding of DeFi ecosystems and blockchain-specific trading dynamics.
**Python Development**:
- Proficiency in Python for data processing and pipeline development.
- Familiarity with Web3 libraries like Web3.py or Ethers.js is a plus.
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