| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Notabene | London, United Kingdom | $72k - $85k | |||
Crypto.com | Hong Kong, Hong Kong | $98k - $103k | |||
Keyfactor | United States | $80k - $100k | |||
Brillio | Phoenix, AZ, United States | $130k - $140k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Whatnot | San Francisco, CA, United States | $153k - $225k | |||
SafeGlobal | Zug, Switzerland | $84k - $104k | |||
Launchpadtechnologiesinc | Latam | $98k - $109k | |||
Bitmex | Remote | $94k - $150k | |||
Gemini | Remote | $269k - $336k | |||
Big Time | Remote | $72k - $75k | |||
Zap | Columbus, OH, United States | $90k - $150k | |||
Figment | Canada | $85k - $115k | |||
Status | Remote | $90k - $106k | |||
IFT | Warsaw, Poland | $112k - $115k | |||
Whatnot | New York, NY, United States | $126k - $200k |
Senior Data Engineer
Key Responsibilities
- Design, develop, and maintain scalable ETL pipelines using dbt, Airbyte, Redshift, and Sigma
- Work closely with product, engineering, and bizops/GTM teams to gather data requirements, setup dashboards and generate critical insights
- Build a data engineering function from scratch, including leading a high-performing data team as the business scales
- Promote a data culture at Notabene and embed data-driven decision-making across the company
- Ensure data governance and security practices are in place, especially around high-security PII data
- Monitor, optimize, and troubleshoot data infrastructure and pipelines to ensure performance and scalability
What you bring to Notabene
- 8+ years working in data engineering
- Proven experience in building and maintaining ETL pipelines and data infrastructure (Airbyte, Redshift, Sigma preferred)
- Strong experience working with dbt core/cloud
- Business savvy and capable of interfacing with finance, revenue and ops leaders to build our business intelligence
- Proven leadership experience with a track record of building and managing data teams
- Expertise in data governance, best practices, and data security, especially related to PII
- Proficiency in SQL and Python and with experience working in AWS
- Strong problem-solving skills, attention to detail, and the ability to work independently in a global, remote-first company
- Excellent communication skills, with the ability to collaborate across teams and departments
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.