| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Confirmo | Prague, Czech Republic | $77k - $100k | |||
Zinnia | Remote | $122k - $123k | |||
Okx | Remote | $98k - $150k | |||
Layerzerolabs | Vancouver, Canada | $75k - $77k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Launchpadtechnologiesinc | Latam | $86k - $109k | |||
Integra | Remote | $21k - $64k | |||
Integra | Remote | $88k - $101k | |||
Integra | Remote | $72k - $84k | |||
Bluecubeservices | Remote | $79k - $100k | |||
Chain Catcher | Remote | $70k - $120k | |||
Solana Foundation | Remote | $84k - $150k | |||
Figure | Remote | $110k - $150k | |||
Okx | Remote | $93k - $112k | |||
Shakepay | Remote | $200k - $250k | |||
Shakepay | Remote | $150k - $200k |
Confirmo is a global stablecoin-first payment platform trusted by market leaders. Originally founded in Prague in 2014, we now run one of the most established infrastructures in the industry. We're a 60-person global team, and we're looking for a Data Engineer to help shape the foundation of how we work with data - you'd be joining as our second hire in this space, with plenty of room to make your mark.
Key Responsibilities:
Youâre going to make sure people at Confirmo can make data-driven decisions. We donât expect you to be creating reports or running data analyses yourself - we expect you to enable pretty much everyone else to do so. As Confirmoâs second data engineer, youâll achieve this by:
Understanding Confirmoâs business model, deeply mastering our data model, and then significantly shaping it so it stays maintainable and representative.
Building trustworthy and robust data pipelines that deliver information from various internal and 3rd-party sources (our transactional systems, banks, PSPs, exchanges, blockchain(s), âŚ)
Proposing tooling thatâs suitable, affordable, and adoptable for a scaleup of Confirmoâs size and needs.
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Our current workhorses are PostgreSQL, Airflow, Python, and AWS â but weâre open to extending the stack with anything else that makes sense.
Your Profile:
A data engineering background and a taste for exploring and quickly adopting new technologies and approaches.
Demonstrated experience with both traditional (OLTP, OLAP) and horizontally scalable warehousing approaches (Data Lake, Data Mesh, built on BigQuery, Spark, Snowflake, or anything similar). You may have been a follower so far, adopting techniques at your previous company - but at Confirmo, we expect you to speak up, and possibly even lead the way, on this front.
Professional software engineering experience. Python is ideal, but any other major language used in data processing is almost as relevant.
Real, non-tutorial knowledge of data modelling and data warehousing principles.
Data infrastructure engineering experience, or the willingness to quickly pick it up. We donât have many dedicated infrastructure engineers, so we expect everyone - and definitely the data engineer - to become proficient in Terraform and other IaC-based infrastructure management techniques.
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An interest in fintech and/or crypto technologies is a plus.
Location: Our office is in Prague, but the role can be remote across the Czech Republic or Slovakia. If you're interested in learning more, please submit your CV and our recruiter will get back to you promptly.
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.