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| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Chainlink Labs | Remote |
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Chainlink Labs | Remote |
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The Tie | New York, NY, United States | $100k - $130k | |||
Keyfactor | Cleveland, OH | $81k - $84k | |||
Binance | Taipei, Taiwan |
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Binance | Europe |
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The Tie | New York, NY, United States | $110k - $140k | |||
Zamp | Gurgaon, India | $90k - $100k | |||
Paxos | New York, NY, United States | $154k - $181k | |||
Binance | Taipei, Taiwan |
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Senior Data Engineer
United States / Remote / London / Remote
Engineering /
Remote - Full-time /
Remote
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About Us
Chainlink Labs is the primary contributing developer of Chainlink, the decentralized computing platform powering the verifiable web. Chainlink is the industry-standard platform for providing access to real-world data, offchain computation, and secure cross-chain interoperability across any blockchain. Chainlink Labs helps power verifiable applications for banking, DeFi, global trade, and gaming by collaborating with some of the world’s largest financial institutions, notably Swift, DTCC, and ANZ. Chainlink Labs also works with top Web3 teams, including Aave, Compound, GMX, Maker, and Synthetix. Chainlink Labs was ranked in Newsweek’s 100 Most Loved Workplaces 2023 in both the United States and United Kingdom.
The Engineering Team
At Chainlink Labs, our engineering team pushes the scale and capabilities of decentralized applications across the industry. The Chainlink Network holds >70% market share in the oracle space, solving real-world problems by enabling smart contracts to securely interact with off-chain data/computation.
We value talented and driven craftsmen who work collaboratively to tackle complex challenges, deliver product impact, and grow as builders. Join us and shape the future of blockchain technology and decentralized finance.
At Chainlink Labs, the Market Data, Data Platform, and Real-time Streaming Platform teams excel in delivering critical data insights, foundational datasets, and real-time data services, empowering the organization with advanced tools for operational and strategic excellence
Market Data Team: The Market Data team at Chainlink is at the forefront of developing standardized platforms and tools that drive insights into data providers, financial assets, and market conditions. Specializing in creating and maintaining high-quality datasets and analytical tools, this team provides critical insights into financial markets and data providers.
Data Platform: Drives innovation in data handling by providing cutting-edge tools and foundational blockchain datasets essential for organizational success. Their expertise in deploying scalable solutions and streamlining data workflows positions Chainlink Labs at the forefront of data-driven decision-making.
The Real-time Streaming Platform: Dedicated to providing seamless access to real-time data streams and APIs, empowering engineering teams with the tools necessary for integration, monitoring, and analysis of the Chainlink ecosystem. This team is pivotal in developing a robust internal platform that not only ensures data timeliness and quality but also expands to include diverse blockchain and off-chain data sources, enhancing the scalability and security of real-time data services for Chainlink's innovative projects.
Requirements
- At least 5+ years of professional engineering experience working in a collaborative product-driven environment
- Professional experience working on a cloud based big data system (AWS, GCP)
- Professional experience with SQL and Python is a mustDeep understanding and experience with real-time streaming, more specifically Kafka
- Successful experience designing, building and scaling a production service
- Experience owning multi month long projects, including communication of progress, dependencies, and risk mitigation directly with stakeholders and partners
Preferred Requirements
- Experience or strong interest in blockchain and other Web 3.0 technologies
- Experience with OLAP technologies, such as, Presto/Trino, Spark, Hadoop, Athena, or BigQuery is a plus
- Experience in Golang or any other strongly-typed programming language
- Experience mentoring and supporting fellow engineers
Our Selection Process
We operate a role agnostic hiring process for our core engineering teams. We'll assess your skills and strengths against our engineering standards and align you to the right team as you move through the process. You'll have the opportunity to meet with engineers and leadership across our core teams.
If you have a strong preference for a particular team at the outset, please do let us know
All roles with Chainlink Labs are global and remote-based. Unless otherwise stated, we ask that you try to overlap some working hours with Eastern Standard Time (EST).
Commitment to Equal Opportunity
Chainlink Labs is an equal opportunity employer. All qualified applicants will receive equal consideration for employment in compliance with applicable laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us via this form.
Global Data Privacy Notice for Job Candidates and Applicants
Information collected and processed as part of your Chainlink Labs Careers profile, and any job applications you choose to submit is subject to our Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required.
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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.