Hermeneutic Investments is hiring a

Web3 Senior On-Chain Data Engineer

JOB OVERVIEW

We are a forward-thinking crypto hedge fund leveraging cutting-edge technology and data-driven strategies to capitalize on opportunities in the digital asset markets. Our data analytics team is critical to our success, supporting our research and trading teams with on-chain insights and actionable analytics.

This is an opportunity to:

• Work with complex blockchain datasets across multiple chains and L2s.
• Build dashboards and reports to support trading strategies.
• Create data-driven signals and metrics to inform decision-making.
• Collaborate with top researchers and traders in the crypto space.

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.

QUALIFICATIONS

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.

Interview Process

• 1st round: Technical and cultural screening by Senior Blockchain Researcher
• 2nd round: Screening by Senior Blockchain Researcher and/or Engineering project
• 3rd round: Discussion with Senior Blockchain Researchers about project
• 4th round: Cultural and fit by our CIO.