Remote Senior Data Engineer - Scalable Data Pipelines

Chainlink Labs; Phoenix (AZ); Remote; USD 110,000 - 150,000; Full time

Job summary

Chainlink Labs is seeking an experienced data engineer to ensure the reliability, accuracy, and observability of data systems as the network scales across assets and use cases. You will design and build scalable data pipelines, models, and benchmarking workflows to empower analytics and product development.

Ideal candidates bring strong SQL and Python, experience with time-series data, and a track record of delivering high-quality data in financial or blockchain contexts, with a bias toward

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 enable high uptime and reliable data access across 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 owners to accelerate issue resolution and reduce noise.
• Enable rapid delivery of new data methodologies to support emerging products and asset coverage.

Skills

SQL

Python

Data pipelines

Time-series data

Analytics

Metrics definition

Tools

Flink

Beam

BigQuery

Airflow

Job description

Chainlink Labs is seeking an experienced data engineer to ensure the reliability, accuracy, and observability of data systems as the network scales across assets and use cases. You will design and build scalable data pipelines, models, and benchmarking workflows to empower analytics and product development.

Ideal candidates bring strong SQL and Python, experience with time-series data, and a track record of delivering high-quality data in financial or blockchain contexts, with a bias toward