| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Pocket Worlds | Warsaw, Poland | $91k - $96k | |||
Binance | Taipei, Taiwan |
| |||
Pocket Worlds | London, United Kingdom | $91k - $96k | |||
Pocket Worlds | Remote | $105k - $111k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Pocket Worlds | Lisbon, Portugal | $91k - $96k | |||
Ava Labs | United States | $43k - $80k | |||
Blockchain.com | Miami, FL, United States |
| |||
Ava Labs | United States | $43k - $80k | |||
Ava Labs | San Francisco, CA, United States | $39k - $80k | |||
Ava Labs | Miami, FL, United States | $39k - $80k | |||
Ava Labs | New York, NY, United States | $39k - $80k | |||
Ava Labs | New York, NY, United States | $39k - $80k | |||
Messari | remote | $91k - $96k | |||
Metallicus | Remote | $91k - $156k | |||
ATTN | Jakarta, Indonesia |
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Senior Data Engineer [Remote]
As Senior Data Engineer, you will...
- Create and maintain a data engineering pipeline.
- Build jobs and tools to provide actionable insights into key metrics.
- Debug discrepancy issues that come up in the ETL like misaligned metrics with external partners.
- Integrating data from multiple sources across the internal and external ecosystem.
- Work closely with the engineering, product, and marketing team to strive for greater functionality in our data systems.
- Be responsible for data quality assurance.
To be successful in this role, we'd expect you to…
- Have at least 4 years of experience building and optimizing data pipelines, architectures and data sets.
- Have strong SQL skills.
- Have experience with AWS cloud services including Redshift, EC2.
- Have experience with big data tools: Hadoop, Spark, Kafka, etc.
- Be experienced in relational SQL and NoSQL databases, including Redshift, Postgres, Redis, and MySQL.
- Be able to work well in a remote development environment.
- Be highly communicative and go out of your way to contribute to the team and help others,
- Bonus point for previous experience working with gaming, ad tech or publishing data sets is considered an asset.
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.