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.
