Remote Senior Data Engineer — Scalable Pipelines & Quality

Chainlink Labs; Charlotte (AR); Remote; USD 120,000 - 180,000; Full time

Job summary

Chainlink Labs in the United States is seeking a data engineer to ensure the reliability, accuracy, and observability of Chainlink’s data systems as the network scales across assets and use cases. It focuses on building robust data pipelines and models that power benchmarking, monitoring, and downstream data access.

The role enables faster product development and unlocks quant and data science workflows through high-quality, accessible data.

Qualifications

• 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

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

Skills

SQL

Python

Data modeling

Data pipelines

Metrics definition

Time-series data

Analytical thinking

Tools

Flink

Beam

Job description

Chainlink Labs in the United States is seeking a data engineer to ensure the reliability, accuracy, and observability of Chainlink’s data systems as the network scales across assets and use cases. It focuses on building robust data pipelines and models that power benchmarking, monitoring, and downstream data access.

The role enables faster product development and unlocks quant and data science workflows through high-quality, accessible data.