Data Science Jobs in Web3
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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Arbitrum Foundation | APAC | $90k - $125k | |||
Integra | Remote | $98k - $103k | |||
P2P. org | United Kingdom |
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P2P. org | United Kingdom |
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| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Crypto.com | Hong Kong, Hong Kong | $80k - $100k | |||
Confirmo | Prague, Czech Republic | $112k - $120k | |||
SwissBorg | Lisbon, Portugal | $27k - $67k | |||
Binance | Taipei, Taiwan |
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BitGo | Toronto, Canada | $180k - $240k | |||
Unlimit | Almaty, Kazakhstan | $122k - $150k | |||
P2P. org | Remote |
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Binance | Singapore, Singapore |
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Orca | United States | $105k - $150k | |||
Finra | Washington, United States | $36k - $81k | |||
Decentraland | Remote | $90k - $119k |
Arbitrum Foundation
$90k - $125k estimated
Data Engineer
Europe / APAC
Engineering /
Full-time /
Remote
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About Arbitrum Foundation
The Arbitrum Foundation is dedicated to scaling Ethereum through cutting-edge Layer 2 solutions. Our flagship product, Arbitrum One, an Optimistic Rollup, enables faster, more affordable transactions while maintaining Ethereum’s security and decentralization. We empower developers to build decentralized applications (dApps) that are both scalable and secure, using Arbitrum chains, which offer flexibility in performance and cost. Our mission is to enhance the Ethereum ecosystem and drive the adoption of Web3 technology by delivering high-performance, open-source blockchain solutions. Arbitrum is already the leading Ethereum scaling solution with hundreds of dApps on the platform and over $13bn TVL.
At the Arbitrum Foundation, we value decentralization, innovation, and community. We are committed to shaping the future of decentralized finance and blockchain technology, and we’re looking for passionate individuals to help us build the next generation of the Web.
Your Role
As a Data Engineer, you'll play a foundational role in reshaping our data infrastructure while also delivering key insights to drive decision-making. You’ll be responsible for setting up data pipelines, integrating multiple sources (on-chain & off-chain), and maintaining existing dashboards while creating new ones for our leadership and internal teams.
This is a hybrid role, ideal for someone who enjoys both the technical challenge of data engineering and the business impact of analytics. You’ll work closely with cross-functional teams to ensure our data is accurate, accessible, and actionable.
Your Responsibilities
- Design & implement scalable data pipelines to ingest, transform, and store data from multiple sources (blockchain data, Google Analytics, CRM, internal databases).
- Build & maintain a centralised data warehouse (BigQuery or similar) to unify structured and unstructured data.
- Develop & optimise SQL queries for data extraction and reporting.
- Create and maintain dashboards to visualize key metrics, helping teams make data-driven decisions.
- Ensure data accuracy & reliability by implementing validation and quality assurance processes.
- Automate data processes and improve efficiency through scripting (Python, SQL).
- Integrate Web3 analytics tools (e.g. Dune Analytics, Allium, Flipside, etc.) for blockchain data insights.
What You'll Need
- Strong SQL skills (BigQuery, PostgreSQL, or similar).
- Experience with ETL tools (e.g. Airbyte, Fivetran, or other or custom-built solutions).
- Proficiency in Python for scripting and automation.
- Ability to work with a variety of APIs to extract and integrate data (e.g. Google Analytics, CRM, blockchain indexers).
- Understanding of blockchain data structures, and how to work with transaction data.
- A pragmatic mindset—you know when to build from scratch and when to use existing solutions.
- Experience with data visualisation tools (e.g. Looker, Google Data Studio, Metabase).
- Ability to communicate insights to non-technical stakeholders.
Nice to Have
- Knowledge of blockchain indexing (e.g. TheGraph, SubSquid, etc.) and smart contract transactions decoding.
- Hands-on experience with Dune Analytics, Allium or Nansen.
- Familiarity with data governance best practices.
Arbitrum Foundation Perks
The Arbitrum Foundation's benefits program is designed to prioritize the health and well-being of you and your family. Our comprehensive compensation package offers a range of benefits for all full-time employees:
- Remote first global workforce
- Industry-leading healthcare insurance
- Home office set-up allowance
- Wellbeing allowance
- Growth / continuing education allowance
- Flexible time off
- Company-issued laptop
The Arbitrum Foundation is committed to a diverse and inclusive workplace and is an equal opportunity employer. We do not discriminate based on race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. The Arbitrum Foundation is committed to treating all people in a way that allows them to maintain their dignity and independence. We believe in integration and equal opportunity. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.
If you believe you're a strong candidate but don’t meet every requirement listed in the job description, we still encourage you to reach out. We’d love the opportunity to connect and explore how you could be a great fit for the role.
Learn More about The Arbitrum Foundation
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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.