Senior Staff Data Engineer

🕒 Maio 22

🏄 California – Remoto

🏄 California – Remote

💵 $225.000 - $290.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

Esta empresa já patrocinou vistos H1B no passado.

Candidatar-se

Encontrar Vagas Remotas Similares

Receber Emails de Vagas Remotas

📊 Verifique sua pontuação de currículo para esta vaga

Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

Enviar Currículo

Circle

SiteLinkedInTodas as Vagas

501 - 1000 funcionários

💳 Fintech

₿ Cripto

🌐 Web 3

Fintech • Crypto • Web 3

A Circle é uma empresa de tecnologia financeira especializada em serviços financeiros baseados em blockchain. Ela oferece soluções como o USDC (uma stablecoin de dólar digital), pagamentos transfronteiriços e ofertas para os mercados de capitais cripto. A plataforma da Circle é projetada para empresas e desenvolvedores, permitindo que aproveitem o alcance global da blockchain por meio de recursos como carteiras programáveis, contratos inteligentes e APIs. A Circle garante transparência ao publicar atestações mensais de reservas e oferece serviços que são compatíveis com uma ampla gama de plataformas de blockchain. Seu objetivo é criar uma plataforma aberta e eficiente para dinheiro programável.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

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