| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Remote |
| |||
Horizon Blockchain Games | Toronto, Canada | $63k - $70k | |||
Horizon Blockchain Games | Toronto, Canada | $45k - $92k | |||
Tessera | Remote | $100k - $200k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
LayerZero Labs | remote | $54k - $90k | |||
Tessera | Remote | $100k - $200k | |||
Binance | Singapore, Singapore |
| |||
CoinFlip | Chicago, IL, United States | $72k - $100k | |||
CoinFlip | Chicago, IL, United States | $91k - $96k | |||
Binance | Asia |
| |||
Binance | Asia |
| |||
OpenSea | Remote | $145k - $255k | |||
Aleo | Remote | $150k - $200k | |||
Caden | New York, NY, United States |
| |||
Cash App | Atlanta, GA, United States | $138k - $169k |
Senior Data Engineer
Responsibilities
- Develop and maintain data engineering systems across the data lifecycle, including data pipelines for batch and streaming applications
- Develop APIs to support high throughput data processing, feature engineering, risk algorithms and data science use cases
- Develop data quality monitoring and alert systems to ensure high availability and high quality data sources
- Design and upgrade of data architecture to support new data applications, technical enhancements and business requirements
Requirements
- 5+ years experiences of developing big data related applications
- Proficient in Java language, familiar with Spring framework, and Micro-service architecture
- Proficient in big data pipeline development including batch and streaming processing
- Familiar with big data components like Hadoop, Hive, Spark, Spark streaming, Flink, Presto, Hbase, Kafka
- Experience in big data product development is a plus, including data warehouse, query platform, streaming, recommendation, user profiling, risk management, etc
- Love working in a team, good analytical skill, willing to accept challenges and quick in resolving problems
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.