| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
CoinDesk & TradeBlock Opportunities | Stamford, CT, United States | $50k - $90k | |||
RECUR | Boston, MA, United States | $63k - $75k | |||
Crypto.com | Hong Kong, Hong Kong |
| |||
Ideas2IT Technologies | Chennai, India | $30k - $70k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Binance | Remote |
| |||
Nuri | Berlin, Germany | $91k - $156k | |||
Parity Technologies | Berlin, Germany | $91k - $156k | |||
Parity Technologies | Berlin, Germany | $91k - $156k | |||
SwissBorg | Lisbon, Portugal | $40k - $62k | |||
Rarible | Remote | $63k - $75k | |||
CANDY | New York, NY, United States | $45k - $75k | |||
Autograph | Santa Monica, CA, United States | $16k - $54k | |||
Parcel | Remote |
| |||
MetaMask | United States | $40k - $92k | |||
MetaMask | United States | $54k - $72k |
This job is closed
Title: Data Engineer, TradeBlock (Blockchain)
Description
TradeBlock is a wholly owned subsidiary of CoinDesk, servicing financial firms with crypto currency trading technology, institutional-grade market data, as well as blockchain data and analytics. We are a technology company focused on building the future of finance by developing robust data infrastructure for blockchain networks and crypto markets.
We are looking for candidates excited to shape this future by contributing to the crypto and blockchain industries through an industry-leading firm. This full-time role offers a competitive base salary, comprehensive medical/dental/vision benefits, flexible time-off and a rewarding work environment.
Our blockchain Data Engineers build and maintain the technology underpinning our blockchain data infrastructure. They are responsible for core software development, data ingestion, transformation and distribution, as well as measuring and improving the performance of our systems. The ideal candidate will have experience working with several blockchain protocols, including their APIs and node management. Deep Linux and SQL experience is important, as well as experience working with complex data-processing pipelines.
Responsibilities
- Integrate our systems with blockchain tokens and data.
- Manage nodes for multiple blockchain protocols.
- Extract raw data from different blockchains for normalization, transformation and distribution.
- Build backend services that interact with the Ethereum blockchain.
- Design and implementation of low-latency, high-availability, and high-performance systems.
- Database and schema optimization.
Requirements
- Deep understanding of blockchains and their data structures.
- Experience installing, maintaining and working with blockchain nodes.
- Well versed in Python and PostgreSQL.
- Deep knowledge of Linux.
- Experience with Redis.
- Strong networking knowledge (firewalls, load balancers, TCP/IP protocols, traffic shaping).
Preferred
- Experience with C.
- Experience working with smart contracts.
- Knowledge of decentralized finance (DeFi).
- 5+ years experience with Linux.
- 3+ years experience with Redis.
- 2+ years experience with blockchains and/or smart contracts.
Technologies
AWS, PostgreSQL, Linux, Redis, Python, Node.js, C/C++, HAProxy, Javascript, Graphite/Grafana, Ansible, Nginx, Python, Django, Git
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.