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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Glassnode | Europe | $72k - $75k | |||
Crypto.com | Hong Kong, Hong Kong | $54k - $95k | |||
WOO Network | Taipei, Taiwan | $140k - $150k | |||
Gauntlet Networks | Remote | $150k - $180k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Ramp Network | Warsaw, Poland | $74k - $148k | |||
Robinhood | Menlo Park, CA, United States | $90k - $100k | |||
Crypto.com | Miami, FL, United States | $45k - $84k | |||
Worldcoin | remote | $94k - $100k | |||
Offchain Labs | United States | $45k - $92k | |||
Illuvium | Remote | $73k - $84k | |||
CertiK | New York, NY, United States | $105k - $130k | |||
Gauntlet | Los Angeles, CA, United States | $150k - $180k | |||
Gauntlet | Los Angeles, CA, United States | $135k - $200k | |||
OKX | Singapore, Singapore | $45k - $84k | |||
Animoca Brands Limited | Remote | $22k - $60k |
Senior Data Engineer - Portfolio (m/f/d). Remote
Europe /
Engineering /
Full-Time Employee
/ Remote
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Who we are:
We're an ambitious team of researchers, builders, and entrepreneurs with many years of experience in crypto, and we are passionate about digital assets. With a new product roadmap, we are adding several new products to our portfolio beyond on-chain data - we are becoming a more comprehensive go-to crypto platform for various needs.
Glassnode is a leading market intelligence platform for on-chain and derivatives data. We offer the most comprehensive library of advanced on-chain metrics and insights for Bitcoin, Ethereum and hundreds of other digital assets, bringing data intelligence to the blockchain and cryptocurrency space.
With an emphasis on user-centric interfaces, we aim to deliver intelligible, actionable, and unique insights from blockchain data and beyond, helping investors make educated decisions in an overly emotional and irrational market and equipping blockchain teams with valuable insights on their projects and tokens.
Senior Data Engineer - Portfolio (m/f/d). Remote
About the role:
Our team is developing a new product within our crypto analytics suite that focuses on leveraging on-chain infrastructure and data within user portfolios and DeFi. This gives a Senior Data Engineer the unique opportunity to contribute to a greenfield project that addresses real-world challenges in a dynamic industry.Â
We foster a lean environment that empowers engineers to drive innovation and make significant contributions to the development of our groundbreaking crypto analytics product. Join us if this sounds like you, if you like to build things and not simply follow tasks.
Join us remotely, you can be located anywhere around the CET time zone, as our work is 100% online. The position is full-time.
What you will do:
- Take a leading role in designing a self-healing and innovative data pipeline that will process digital assets and financial data
- Develop and maintain scalable ETL/ELT pipelines using tools such as Airflow/Argo, Meltano/Airbyte, or comparable
- Embrace the "You build it, you run it" philosophy by maintaining, managing, and updating the data pipelines and backend services you create
- Explore and integrate cutting-edge Web3 indexers, data accessors, and other development tools to drive continuous innovation
- Alongside the team, take ownership of project documentation and knowledge base, including manuals, static API specs, and any relevant playbooks
What you need:
- At least 3 years of experience developing backend services and working with data pipeline tools in various architectures
- Strong experience with data pipelines using Airbyte, Meltano, or comparable platforms
- Proficiency with task automation tools like Apache Airflow, Argo, or comparable
- You are skilled in containerization and orchestration technologies like Kubernetes and Docker
- Experience working with relational and NoSQL databases, such as PostgreSQL, Cassandra, or comparable implementations
- Proficiency in modern programming languages, such as Python, Go, or JavaScript/TypeScript or comparable
- Just like us, you love and have a strong interest in Web3, cryptocurrencies, and DeFi
- You are a self-driven learner who is highly motivated and unafraid to explore new technologies
- Nice to have: Experience with big data solutions, such as BigQuery or other comparable platforms
What we offer:
- Flexibility to organize your work and hours the way you like, our remote-first setup enables this for everyone
- Join an innovative, self-funded company in a future-proof analytics and market intelligence segment of web3
- Freedom to own your decisions and experiment. We need driven experts who help us figure out what to do, not for us to point at what needs to be done
- Be one of the main contributors to building a company with its unique culture in the cutting-edge tech space
- No approval loops or unnecessary processes, quick decision-making, and full ownership of your function
- We are working on a kick-ass, meaningful benefits package, something truly useful and empowering - you will help us figure out what we'd need to stand out as the workplace of the future; we are open to any ideas
- Frequent company offsites, we love remote but love to have fun together too - last year we went to Lisbon for a week and had our New Yearâs party in Mallorca, and more adventures are coming up
Glassnode is an equal opportunity employer. We respect and empower each individual who joins us. Glassnode commits to a transparent, inclusive, non-discriminatory recruitment process and employment.
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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.