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ISO 9001 Certified | 400+ students | Learn more | by Metana | ||
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Bitgo📍 Remote | $180k - $210k |
Who We Are
Temporal is a Solana native Research & Development firm. We have been at the bottom of the Solana trenches for years working on open source code alongside core teams, developing on chain products, and running some of the highest performing validators. Our team has deep experience in high frequency trading and low latency systems.
The Role
Temporal is hiring a Solana Data Engineer to work in our NYC office. You'll be responsible for designing and maintaining robust data pipelines and dashboards based on real-time and historical Solana data.
Responsibilities
- Build reliable pipelines to ingest on-chain data into ClickHouse (or similar OLAP systems)
- Interact with Solana full nodes or RPC infrastructure to extract raw blockchain data
- Design and maintain dashboards to visualize key metrics
- Maintain data accuracy, uptime, and performance of analytics services
- Extract and process validator performance metrics and staking rewards data
Requirements
- Deep familiarity with ClickHouse, Grafana, or equivalent data/visualization stacks
- 3+ years experience with Python and shell scripting
- 2+ years experience with Rust
- Experience with blockchain indexers or off-chain data APIs
- Bonus: Understanding of Solana's account model, transaction structure, and program architecture
Why Join Temporal?
We are a small, highly technical team that gravitates toward the hardest problems on Solana, with an emphasis on moving fast above all else.
Here you will own your work and directly contribute. There is no bureaucracy, only shipping.
Compensation: $200,000-$300,000+ a year, equity, and a discretionary bonus
What does a data scientist in web3 do?
A data scientist in web3 is a type of data scientist who focuses on working with data related to the development of web-based technologies and applications that are part of the larger web3 ecosystem
This can include working with data from decentralized applications (DApps), blockchain networks, and other types of distributed and decentralized systems
In general, a data scientist in web3 is responsible for using data analysis and machine learning techniques to help organizations and individuals understand, interpret, and make decisions based on the data generated by these systems
Some specific tasks that a data scientist in web3 might be involved in include developing predictive models, conducting research, and creating data visualizations.