Senior Data Engineer

Chainlink is an industry-standard oracle platform powering decentralized finance and blockchain use cases. The Senior Data Engineer will build reliable, scalable data pipelines and models, establish data observability and quality validation, and provide accessible datasets for benchmarking, analytics, modeling, and product development.

Responsibilities:

• Deliver data pipelines that achieve 99.99% ingestion uptime across critical datasets
• Improve benchmark accuracy by building resilient, scalable data modeling and processing systems
• Establish end-to-end observability, ensuring data freshness, completeness, and accuracy are continuously validated
• Route actionable alerts to the appropriate owners, reducing noise and accelerating issue resolution
• Enable rapid delivery of new data methodologies to support emerging products and asset coverage
• Provide clean, well-structured datasets that accelerate modeling, analytics, and decision-making across teams

Requirements:

• Demonstrated experience building scalable data models and pipelines for analytics using SQL and Python
• Experience working with blockchain or traditional financial market data, with a clear understanding of one domain
• Proven ability to define and implement metrics for evaluating complex systems, including data quality and system performance
• Built and maintained data pipelines handling large-scale, time-series or asynchronous datasets
• Strong understanding of data modeling, partitioning, and performance optimization in analytical systems
• Experience designing and implementing data quality checks covering freshness, completeness, and accuracy
• Experience working with real-time or streaming data systems such as Flink, Beam, or similar frameworks
• Familiarity with order books, trade data, and aggregation methodologies in financial systems
• Understanding of decentralized exchanges and approaches to sourcing and structuring onchain data
• Background in quantitative statistics or applied statistical analysis
• Experience working in investment, trading, or market data environments
• Demonstrated ability to work with noisy, multi-source datasets and derive reliable analytical outputs