Junior Data Engineer
Chainlink Labs
About Chainlink Chainlink is the industry-standard oracle platform bringing the capital markets on‑chain and powering the majority of decentralized finance (DeFi). The Chainlink stack provides the essential data, interoperability, compliance, and privacy standards needed to power advanced blockchain use cases for institutional tokenized assets, lending, payments, stablecoins, and more. Since inventing decentralized oracle networks, Chainlink has enabled tens of trillions in transaction value and now secures the vast majority of DeFi. Many of the world’s largest financial services institutions have also adopted Chainlink’s standards and infrastructure, including Swift, Euroclear, Mastercard, Fidelity International, UBS, S&P Dow Jones Indices, FTSE Russell, WisdomTree, ANZ, and top protocols such as Aave, Lido, GMX and many others. Chainlink leverages a novel fee model where off‑chain and on‑chain revenue from enterprise adoption is converted to LINK tokens and stored in a strategic Chainlink Reserve. Learn more at chain.link. Chainlink Labs is pioneering the world’s first fully sustainable and decentralized oracle network, and the Economics team is searching for a Junior Data Engineer to play a critical role in building it. This role will sit at the intersection of blockchain technology, financial innovation, and economic systems, and shape the future of decentralized economics. As a Junior Data Engineer on the Economics team, you will combine data science, economics, and blockchain expertise to shape incentives, optimize network design, and influence the decision‑making of our Economics and Executive Leadership teams. You will design, analyze, and operationalize economic models for production applications, collaborating across departments to bring innovative solutions from concept to production, ensuring technical and economic soundness throughout. This is a high‑impact role, offering visibility and influence as you contribute to the development of the Chainlink network. If you’re a meticulous, creative, and motivated individual ready to solve complex economic problems through data‑driven decisions in the rapidly evolving world of Web3, this is the role for you. Your Impact You will serve two primary functions: (1) designing, building, and maintaining scalable data pipelines and infrastructure to help the Economics and Executive Leadership teams make informed, data‑driven decisions, and (2) building and maintaining production economics applications. You will work on a wide array of blockchain economics projects, analyses, and systems, including: Designing novel mechanisms and incentive schemes Building data pipelines, models, and simulations to evaluate investment opportunities Designing and parameterizing economics systems Optimizing parameters for production applications Contributing to the design of Economics programs and applications You will optimize network incentives and systems by engaging directly with the Economics, Product, Engineering, Research, and Data Science teams to understand network dynamics at the deepest level. You will meticulously operationalize processes, and coordinate cross‑functionally to implement them. This is both a highly technical and highly social role. You will have high visibility and a large impact on how Chainlink builds the world’s first fully sustainable decentralized oracle network. Requirements Deep understanding of financial and crypto markets and incentives Strong foundation in Computer Science principles, including data structures, algorithms, and complexity analysis Experience with data infrastructure design and implementation in cloud platforms (e.g., GCP, AWS, Azure) Experience with production‑grade software engineering concepts (e.g., git, testing, containerization, CI/CD, infrastructure as code) Strong SQL and Python skills are mandatory Substantial data analysis and/or data science experience Meticulous attention to detail Preferred Qualifications Strong organizational and coordination skills necessary to productionize and operationalize processes and applications Strong Computer Science or related Engineering, Economics and/or Finance background through Masters‑level academics and/or multiple years of industry experience Proven interest in DeFi and in remaining current with new products and trends Experience with LLM‑based development tools, on‑chain data, and orchestration tools such as Airflow and DBT Experience in data modeling, data warehousing concepts Published research with an economics or crypto focus (e.g., papers on MEV or PBS, staking and slashing dynamics, node compensation, tokenomics, etc.) Competencies You must be meticulous, creative, and hard‑working. You should be a curious, collaborative self‑starter. You’re ideally growth oriented, self‑aware, and willing to be wrong. 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). We carefully review all applications and aim to provide a response to every candidate within two weeks after the job posting closes. The closing date is listed on the job advert, so we encourage you to take the time to thoughtfully prepare your application. We want to fully consider your experience and skills, and you will hear from us regarding the status of your application shortly after the closing date. 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 Recruiting Privacy Policy. By submitting your application, you are agreeing to our use and processing of your data as required. #J-18808-Ljbffr
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