Senior Data Engineer

Skills

About the Role

You will build and maintain robust data pipelines and models that power benchmarking, monitoring and downstream data access. You'll aim for very high ingestion uptime, establish end-to-end observability, validate data freshness, completeness and accuracy, route actionable alerts to the right owners, and deliver clean, well-structured datasets that enable quant and data science workflows.

Requirements

• Demonstrated experience building scalable data models and pipelines for analytics using SQL and Python
• Experience with blockchain or traditional financial market data, with 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 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

Responsibilities

• Deliver data pipelines achieving 99.99% ingestion uptime across critical datasets
• Improve benchmark accuracy by building resilient, scalable data modeling and processing systems
• Establish end-to-end observability for data freshness, completeness and accuracy
• Route actionable alerts to appropriate owners to reduce noise and speed issue resolution
• Enable rapid delivery of new data methodologies for emerging products and asset coverage
• Provide clean, well-structured datasets to accelerate modeling, analytics and decision-making

Benefits

• Long-term incentives
• Comprehensive benefits
• Remote-first work