Senior Data Engineer

Job not on LinkedIn

🔥 1 minute ago

🌵 Arizona, Nevada, +1 more states – Remote

🌵 Arizona – Remote 🎰 Nevada – Remote 🌲 North Carolina – Remote

💵 $129k - $304k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Chainlink Labs

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2017

💸 Finance

💳 Fintech

🌐 Web 3

Finance • Fintech • Web 3

Chainlink Labs is a leading player in the field of decentralized finance (DeFi) and blockchain technology. The company is pioneering the use of decentralized systems to facilitate onchain transactions for financial institutions and marketplaces. By collaborating with financial market infrastructures, asset managers, and top DeFi protocols, Chainlink Labs is driving the transition to a tokenized asset economy and aims to become the global standard for onchain finance. With expertise in cryptography and a robust track record in security, Chainlink Labs provides a platform that powers a global system of onchain finance.

📋 Description

• Deliver data pipelines achieving 99.99% ingestion uptime across critical datasets • Improve benchmark accuracy by building resilient, scalable data modeling and processing systems • Establish end-to-end observability validating data freshness, completeness, and accuracy • Route actionable alerts to appropriate owners to reduce noise and accelerate issue resolution • Enable rapid delivery of new data methodologies for emerging products and asset coverage • Provide clean, well-structured datasets for modeling, analytics, and decision-making across teams

🎯 Requirements

• 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 • Experience working with real-time or streaming data systems such as Flink, Beam, or similar frameworks • Familiarity with order books, trade data, and aggregation methodologies in financial systems • Understanding of decentralized exchanges and approaches to sourcing and structuring onchain data • Background in quantitative statistics or applied statistical analysis • Experience working in investment, trading, or market data environments • Demonstrated ability to work with noisy, multi-source datasets and derive reliable analytical outputs • Resume/CV must be submitted in English

🏖️ Benefits

• Long-term incentives • Comprehensive benefits • Remote-based work • Global and remote-based roles • Eastern Standard Time (EST) working-hour overlap