Junior Data Engineer, Economics

Chainlink Labs is a leading oracle platform revolutionizing decentralized finance. The Junior Data Engineer will play a critical role in building scalable data pipelines and economic models to support decision-making for the Economics and Executive Leadership teams.

Responsibilities:

• Designing, building, and maintaining scalable data pipelines and infrastructure to help the Economics and Executive Leadership teams make informed, data-driven decisions
• Building and maintaining production economics applications
• 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
• Optimizing 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
• Meticulously operationalizing processes, and coordinating cross-functionally to implement them

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.)