Onchain Analytics Engineer
Summary
Analyze DeFi protocols by reading smart contracts and mapping token flows, build dbt models in a four-layer data pipeline, and maintain chain-level infrastructure using SQL, dbt, BigQuery, and ClickHouse.
About Token Terminal
Token Terminal’s mission is to become the ground truth for onchain data. We transform raw blockchain data into standardized metrics across 100+ blockchains, 1,200+ protocols, and 3,000+ tokenized assets.
What you’ll do
- Analyze DeFi protocols end-to-end: read smart contracts, map fee structures and token flows
- Build and maintain dbt models across a four-layer data pipeline
- Develop chain-level data infrastructure including normalized transaction tables and price feeds
- Investigate and resolve data issues by tracing metrics through the pipeline
- Write and maintain public, auditable methodology documentation
- Support commercial and product teams with data analysis and custom datasets
What we’re looking for
- 2+ years working with SQL in production analytics or data engineering
- Understanding of how DeFi protocols work and generate revenue
- Ability to read smart contracts to understand events and value flows
- Clear written communication for institutional audiences
- Curiosity about protocols and a self-directed approach to work
- Comfortable with ambiguous, messy onchain data
- A track record of owning data quality problems end-to-end
- Experience working in small, remote teams
Data stack
Node.js and Go, dbt and BigQuery, ClickHouse, Google Cloud with Kubernetes, GitHub, Slack, Notion.
What we offer
- Competitive salary and equity with extended exercise windows
- 20 days paid vacation plus local public holidays
- Remote-first structure
