Senior Data Engineer: Scalable Pipelines & Observability

Chainlink Labs; Las Vegas (NV); Remote; USD 120,000 - 180,000; Full time

Job summary

Chainlink Labs is hiring for a data-focused role to ensure reliable data pipelines, observability, and scalable analytics for blockchain and financial datasets. You will design models, implement quality checks, and enable fast data-driven decision making.

The role emphasizes handling large-scale time-series data, real-time streams, and cross-team collaboration to support new products and asset coverage. Global remote work is supported.

Qualifications

• Experience building scalable analytics data pipelines with SQL and Python.
• Ability to define and implement metrics for data quality and system performance.
• Strong data modeling skills for large-scale analytics workloads.
• Experience with time-series or asynchronous datasets is a plus.
• Familiarity with streaming data systems is desirable.

Responsibilities

• Build data pipelines and models powering benchmarking, monitoring, and data access.
• Ensure observability and data freshness across assets and use cases.
• Define metrics to evaluate complex data systems and their performance.
• Route alerts to owners to reduce noise and accelerate resolution.
• Deliver new data methodologies to support evolving products and coverage.
• Provide clean, well-structured datasets for analytics and modeling.

Skills

SQL

Python

Data modeling

Data quality checks

Performance optimization

Tools

Flink

Beam

Job description

Chainlink Labs is hiring for a data-focused role to ensure reliable data pipelines, observability, and scalable analytics for blockchain and financial datasets. You will design models, implement quality checks, and enable fast data-driven decision making.

The role emphasizes handling large-scale time-series data, real-time streams, and cross-team collaboration to support new products and asset coverage. Global remote work is supported.