Data Engineer, Economics
Role details
Job location
Tech stack
Job description
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. You will collaborate across departments to bring innovative solutions from concept to production, ensuring technical and economic soundness and 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
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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.
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You will work on a wide array of blockchain economics projects, analyses, and systems, including:
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Designing novel mechanisms and incentive schemes
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Building data pipelines, models, and simulations to evaluate investment opportunities
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Designing and parameterizing economics systems
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Optimizing parameters for production applications
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Contributing to the design of Economics programs and applications
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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.
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You will meticulously operationalize processes, and coordinate cross-functionally to implement them.
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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
- A 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, * 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
- A proven interest in DeFi and in remaining current with new products and trends
- Experience with LLM-based development tools, onchain 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.), * 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.
