Senior Staff Data Engineer

🕒 May 22

🏄 California – Remote

🏄 California – Remote

💵 $225k - $290k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Circle

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💳 Fintech

₿ Crypto

🌐 Web 3

Fintech • Crypto • Web 3

Circle is a financial technology company that focuses on utilizing blockchain technology to enable seamless, faster and secure transactions. Their main product, USDC, is a stablecoin designed to provide stability by being fully reserved and redeemable 1:1 for US dollars, and is widely used in global transactions to facilitate cross-border payments, crypto capital markets, and global dollar access. Circle offers an open developer platform that allows businesses to integrate blockchain functionalities such as programmable wallets and smart contracts into their applications. The company is committed to transparency and publishes regular reports on their reserve holdings.

📋 Description

• Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance frameworks across domains • Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns • Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems • Develop and standardize data engineering SDLC practices, including testing strategies, CI/CD, versioning, and reusable frameworks • Drive cross-functional prioritization of reliability initiatives, balancing technical debt, operational health, and product delivery across teams • Lead ecosystem-wide platform improvements, identifying architectural gaps, reducing fragmentation, and influencing build vs buy decisions • Own and deliver complex, high-impact data initiatives, aligning stakeholders, mitigating risks, and driving scalable solutions in ambiguous environments

🎯 Requirements

• Extensive experience designing and operating scalable data platforms with a focus on reliability, quality, and observability • Experience leveraging AI tools and methodologies to design and implement the solutions • Deep expertise in data architecture, including data modeling, pipeline design, and distributed data systems • Proven ability to define and implement data quality frameworks, including SLAs, data contracts, and governance standards • Strong experience establishing SLI/SLO frameworks, monitoring, and alerting for large-scale data systems • Demonstrated ability to lead complex, cross-team technical initiatives and drive alignment across stakeholders • Experience defining and scaling engineering best practices, including testing, CI/CD, and development standards for data systems

🏖️ Benefits

• We respect your privacy and will connect with you separately from our interview process to accommodate your needs.