Senior Data Engineer

Job Summary

Focusing on the reliability and observability of data systems, the full-time Senior Data Engineer will build robust data pipelines and models to enhance benchmarking, monitoring, and data access in a remote environment.

Key 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 to ensure continuous validation of data freshness, completeness, and accuracy

Required qualifications

• Demonstrated experience building scalable data models and pipelines for analytics using SQL and Python
• Experience working with blockchain or traditional financial market data
• Proven ability to define and implement metrics for evaluating complex systems
• Experience building and maintaining data pipelines handling large-scale, time-series datasets
• Strong understanding of data modeling, partitioning, and performance optimization in analytical systems