Senior Data Engineer

🕒 Outubro 1

🗽 New York, Virginia – Remoto

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💵 $286.200 - $392.000 / ano

⏰ Tempo Integral

🟠 Sênior

🚰 Engenheiro de Dados

🦅 Patrocina Visto H1B

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👻 Score fantasma 0%

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🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Capital One

Capital One

10.000+ funcionários

🏦 Bancário

💳 Fintech

💸 Finanças

💰 Post-IPO Equity em 2023-05

Banking • Fintech • Finance

A Capital One é uma empresa de serviços financeiros especializada em cartões de crédito, bancos e empréstimos. Comprometida com a inovação, a Capital One combina tecnologia e estratégias baseadas em dados para aprimorar a experiência do cliente e melhorar seus serviços bancários. A empresa também enfatiza a diversidade, inclusão e uma cultura de trabalho colaborativa, enquanto oferece uma ampla gama de oportunidades de emprego em várias áreas, incluindo finanças, tecnologia e atendimento ao cliente.

Descrição

• Define the future of data platforms and banking in the cloud • Drive innovation and deliver scalable, reusable data solutions to complex problems • Lead technical strategy for data pipelines and data-sharing capabilities across lines of business • Drive best practices, engineering and delivery acceleration, platform scalability, operational excellence, performance, and resiliency • Build awareness and adoption of modern technologies • Promote engineering excellence and reuse or innersource solutions • Communicate with and influence stakeholders across the enterprise • Advise on technology, platform, and capability domains • Mentor internal talent and recruit external talent • Research emerging trends in data, AI, and engineering and develop an integration roadmap • Lead strategic alignment and integration decisions across data systems and business units • Own data strategy artifacts, governance policies, architecture blueprints, and data product roadmaps • Design and code critical data projects while influencing architectural standards • Work hands-on with AWS, Lakehouse architecture, Kafka, Flink, Spark, Snowflake, Databricks, Python, SQL, Java, and/or Scala

🎯 Requisitos

• Bachelor’s Degree in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) • At least 9 years of experience in data engineering • At least 5 years of experience in data architecture • At least 3 years of experience building applications in AWS • At least 7 years of experience programming with Python, Java, or Scala • At least 6 years of experience designing and developing data pipelines • At least 4 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems • Preferred: Master’s Degree in Computer Science or a related field • Preferred: 11+ years of experience in data engineering • Preferred: 8+ years of data modeling experience • Preferred: Experience with ontology standards, machine learning model deployment, public cloud environments, distributed data or compute workloads, real-time or streaming data pipelines, data observability or orchestration tools, NoSQL databases, data warehousing solutions, Agile development, and reusable data products • Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

🏖️ Benefícios

• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being • Employment authorization sponsorship may be considered for a new qualified applicant • Reasonable accommodations for applicants who require them

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