Job Position | Company | Posted | Location | Salary | Tags |
---|---|---|---|---|---|
Anti Capital | New York, NY, United States | $100k - $200k | |||
Fabric of Truth, Inc | Boston, MA, United States | $84k - $164k | |||
Fabric of Truth, Inc | Belgium | $84k - $164k | |||
Binance | Taipei, Taiwan |
| |||
Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Chainalysis | Australia | $79k - $100k | |||
Chainalysis | Spain | $79k - $100k | |||
Chainalysis | United Kingdom | $79k - $100k | |||
Chainalysis | United States | $79k - $100k | |||
Chainlink Labs | London, United Kingdom | $36k - $54k | |||
Figuremarketsinc | Remote | $108k - $126k | |||
Crypto.com | Hong Kong, Hong Kong | $98k - $109k | |||
Fireblocks | Get a Fireblocks Platform Demo | $76k - $87k | |||
Markets | San Francisco, CA, United States | $88k - $110k | |||
Numus | Remote | $73k - $115k | |||
Binance | Bangkok, Thailand |
|
Rust Low-Latency Data Engineer
Responsibilities:
- Implement high performance and reliable data collection pipelines.
- Implement and maintain existing exchange data integrations.
- Architect data pipeline components to maximize performance and minimize data loss.
- Architect data pipelines to support data needs of internal and external trading teams.
- Architect user-facing historical market data API.
- Enhance Anti Capital’s support and integrations for different asset classes.
Requirements:
- Minimum 5 years of professional development experience C / C++ / Zig / Rust.
- Strong Rust proficiency or willingness to learn.
- Strong multi-threading and performance-sensitive experience.
- Experience with SQL and relational, document, and time-series databases.
- Experience in network protocols including TCP, UDP, WebSockets, REST.
- Experience with git version control.
- Excellent written and spoken English.
Preferred:
- Financial industry knowledge and centralized order book exchanges.
- Proven interest in decentralized finance, CEFI, DEFI.
- Strong understanding of network protocols and encoding including reliable UDP, FIX, SBE, symmetric stream encryption.
Benefits:
- Highly competitive salary
- Semi-discretionary bonus
- Company stock options
- Relocation assistance if needed
- Dedicated mentors to accelerate your growth
- Fully stocked kitchen
- Unlimited sick days
- Friendly start-up working environment
- 15 days of PTO and 15 days of WFH on an accrual basis
- Team lunch/ dinner
- Gym subsidy
- Breakfast catering
- Social events
- Opportunity to visit our global offices
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.