Senior Data Engineer - Real-Time Blockchain Pipelines

Chainlink Labs; New Brunswick; A distancia; CAD 90.000 - 130.000; Jornada completa

Descripción de la vacante

Chainlink Labs is seeking a data engineer to build scalable data models and pipelines powering analytics across the Chainlink ecosystem. You will work with SQL and Python to ingest, process, and validate large time-series datasets, enabling benchmarking and data-driven decisions.

This remote-first role emphasizes observability, data quality checks, and collaboration with teams focused on institutional data and DeFi applications.

Formación

• Demonstrated experience building scalable data models and pipelines for analytics using SQL and Python.
• Experience with blockchain or traditional financial market data; understand one domain.
• Defined and implemented metrics for evaluating complex systems, including data quality and performance.
• Built data pipelines for large-scale time-series or asynchronous datasets.
• Strong understanding of data modeling, partitioning, and performance optimization in analytical systems.
• Experience designing data quality checks covering freshness, completeness, and accuracy.

Responsabilidades

• Deliver data pipelines that achieve high ingestion uptime across critical datasets.
• Improve benchmark accuracy with resilient 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.

Conocimientos

SQL

Python

Blockchain data

Data pipelines

Data quality checks

Metrics definition

Herramientas

Flink

Beam

Descripción del empleo

Chainlink Labs is seeking a data engineer to build scalable data models and pipelines powering analytics across the Chainlink ecosystem. You will work with SQL and Python to ingest, process, and validate large time-series datasets, enabling benchmarking and data-driven decisions.

This remote-first role emphasizes observability, data quality checks, and collaboration with teams focused on institutional data and DeFi applications.