Data Science Jobs in Web3

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Job Position Company Posted Location Salary Tags

Rarible

Remote

$90k - $115k

Stellar

Remote

$14k - $200k

Kraken

United States

$127k - $203k

Coinbase

New York, NY, United States

$103k - $103k

Wormholefoundation

Remote

$103k - $117k

Temporal

New York, NY, United States

$200k - $250k

Wormhole Foundation

Remote

$72k - $96k

Trojan

Remote

$150k - $350k

Okx

Remote

$143k - $257k

Shakepay

Remote

$95k - $114k

Coinbase

Remote

$207k - $244k

Coinbase

Remote

$180k - $212k

DV Labs

Lisbon, Portugal

Whatnot

Remote

$84k - $165k

Sorare

Paris, France

$84k - $90k

Rarible
$90k - $115k estimated
Remote - Lisbon/EU

Senior Data Engineer

Remote - Lisbon/EU
ENGINEERING /
Full-time /
Remote

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Rarible is on a mission to power the next generation of decentralized digital ownership. As a leading player in the NFT and Web3 space, we're helping major brands and ecosystems bring their communities on-chain — and we need a rock-solid data foundation to scale it all.

We’re looking for a Senior Data Engineer to build that foundation from the ground up — an individual contributor role with real ownership. If you’re looking for a role with the ability to define how a Web3 company handles analytics and AI for the future, this role is for you.

You’ll lead data at Rarible, The mission? Build a best-in-class data stack that powers everything from internal dashboards to AI-based insights. The existing setup is being phased out, and you'll have the autonomy to architect a new structure that serves our internal teams (product, ops, marketing) and future AI use cases.

What You’ll Do;

    • Design, build, and own our data infrastructure: pipelines, warehouse, transformations, and documentation
    • Migrate away from legacy systems (e.g., PowerBI) and streamline analytics via Metabase
    • Structure the data stack to support AI query interfaces and self-serve reporting
    • Ensure data consistency, quality, and near real-time availability (aiming for 99% uptime)
    • Collaborate closely with product, engineering, and leadership to translate business questions into usable dashboards and metrics
    • Prioritize and manage incoming data requests from across the company

What We’re Looking For;

    • Proven experience building and maintaining scalable data pipelines and analytics infrastructure
    • Strong knowledge of SQL, Python, and cloud data platforms.
    • Comfortable acting as a sole owner and driving from ambiguity to structured delivery
    • Experience working with internal stakeholders and turning requests into actionable data products
    • Startup mindset: proactive, resourceful, and hungry to deliver
    • Located in or near EU time zones

Bonus;

    • Experience with AI/ML infra, MLOps, or AI-assisted querying
    • Frontend or full-stack skills (e.g., Typescript) for building simple internal tools or UI layers
    • Exposure to the Web3 or NFT ecosystem

What we offer;

    • Global Impact: Contribute to a rapidly expanding global organization at the forefront of Web3 innovation.
    • Well-being: Unlimited paid days off policy to prioritize your own rest and relaxation.
    • Ownership: Stock options and RARI Token grants, empowering you to be a part of our success story.
    • Resources: Access to top-notch hardware and software tailored to your role's requirements.
    • Company offsites and events
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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.