Remote Data Science Jobs in Web3
587 jobs found
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Job Position | Company | Posted | Location | Salary | Tags |
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Nansen.ai | Berlin, Germany | $54k - $77k | |||
Voodoo | Remote | $32k - $76k | |||
Voodoo | Remote | $32k - $76k | |||
Nuri | Berlin, Germany | $91k - $156k | |||
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 |
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Binance | Remote |
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Finoa GmbH | Berlin, Germany |
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Nuri | Berlin, Germany | $40k - $62k | |||
Binance | Remote |
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Finoa GmbH | Berlin, Germany |
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Acronis | Remote |
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Acronis | Remote |
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Consensys | Remote | $40k - $92k | |||
Messari | Remote | $91k - $156k | |||
0x | San Francisco, CA, United States | $71k - $79k |
Nansen.ai
$54k - $77k estimated
This job is closed
About the role
AsData Engineer you'll join one of our mission oriented squads or platform teams.
Data is key in all of our products, and your contributions will have a big impact.
You can be locatedanywhere in the world, as our work is 100% online. The position isfull-time.
Responsibilities
- Design, develop and support data pipelines, warehouses and reporting systems to solve business operations, users and product problems
- Work closely with product engineers to create, test and maintain data models
- Collaborate and influence stakeholders and support engineers to ensure our data infrastructure meets constantly evolving requirements
- Work closely with analysts to create data analytics and research platform
- Contribute to engineering efforts from planning and organization to execution and delivery to solving complex engineering problems
- Take initiative and be responsible for technical solutions to data quality and workflow challenges
- Write and review technical documents, including design, development, and revision documents.‍
Are you the right person for this role?
The ideal candidate for us has:
- 3+ years workexperience as a Data Engineer or similar role
- Experience with building data pipelinesusing PythonandSQL
- Experience designingdata models and data warehouses
- Experience incomputer science,data structures,algorithmsandsoftware design
- Experience with the following: BigQuery, Postgres, Airflow, Kubernetes, dbt
The following are nice-to-haves:
- Experience with Data Visualization tools
- Experience with Ethereum and the crypto markets (either professionally or as a hobby)