Senior Data Engineer - Remote Real-Time Data Pipelines

Framework Ventures; Phoenix (AZ); Remote; USD 140,000 - 200,000; Full time

Job summary

Chainlink Labs is seeking an expert to ensure the reliability, accuracy, and observability of its data systems as the network scales across assets and use cases. You will build robust data pipelines and models that power benchmarking and downstream data access, enabling faster product development.

The role emphasizes high-quality, accessible data to support quantitative analysis and decision-making across teams, with a global and remote-friendly setup.

Qualifications

• Experience building scalable data models and pipelines for analytics using SQL and Python.
• Experience with blockchain or traditional financial market data.
• Ability to define and implement metrics for data quality and system performance.
• Built and maintained time-series data pipelines at scale.

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.
• 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 pipelines

Data modeling

Time-series data

Data quality checks

Observability

Blockchain data

Tools

Flink

Beam

Job description

Chainlink Labs is seeking an expert to ensure the reliability, accuracy, and observability of its data systems as the network scales across assets and use cases. You will build robust data pipelines and models that power benchmarking and downstream data access, enabling faster product development.

The role emphasizes high-quality, accessible data to support quantitative analysis and decision-making across teams, with a global and remote-friendly setup.