
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.
🕒 Outubro 7
⚔️ Virginia – Remoto
💵 $209.000 - $238.500 / ano
⏰ Tempo Integral
🟡 Pleno
🟠 Sênior
🚰 Engenheiro de Dados
🦅 Patrocina Visto H1B
👻 Score fantasma 0%
🗣️🇺🇸🇬🇧 Inglês obrigatório
Airflow
Amazon Redshift
AWS
Azure
Cassandra
Cloud
DynamoDB
Java
Microservices
MongoDB
NoSQL
Python
Scala
Spark
Splunk
SQL
Melhore suas chances de conseguir uma entrevista verificando sua pontuação de currículo antes de se candidatar.

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.
• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions • Influence developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems • Use Python and Spark, open-source relational and NoSQL databases, Databricks, and Snowflake • Stay current with data trends, experiment with new technologies, participate in technology communities, and mentor data professionals • Collaborate with product managers and software engineers to deliver cloud-first data solutions • Independently design, build, and deliver cloud data solutions and applications • Architect and enforce data engineering design patterns across platforms and pipelines • Communicate technical concepts and data outcomes to internal and external stakeholders • Design and build scalable, resilient, and operationally efficient data pipelines and platforms • Mentor peers and junior engineers while contributing hands-on technical expertise • Lead large-scale data initiatives end to end, making architectural decisions and evaluating platforms such as Snowflake versus Databricks
• Bachelor's Degree or higher in Computer Science or a related quantitative field • At least 6 years of experience in application development; internship experience does not apply • At least 4 years of experience in distributed data • At least 4 years of experience with SQL • At least 4 years of programming experience with Python, Java, or Scala • At least 4 years of experience designing and developing data pipelines • At least 2 years of experience in data modeling and designing end-to-end data solutions using relational and non-relational database systems • Capital One will consider sponsoring a new qualified applicant for employment authorization • Preferred: Master's Degree in Computer Science or a related field • Preferred: 8+ years of experience in data engineering • Preferred: 4+ years of data modeling experience • Preferred: 9+ years of application development experience with Python, SQL, Scala, or Java • Preferred: 5+ years of experience with AWS, Microsoft Azure, or Google Cloud • Preferred: 5+ years of experience with EMR, Spark, Glue, or Databricks • Preferred: 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines • Preferred: 3+ years of experience with data observability or orchestration tools such as Monte Carlo, Splunk, Airflow, or Dagster • Preferred: 5+ years of experience with unstructured or semistructured data using NoSQL databases such as MongoDB, Cassandra, or DynamoDB • Preferred: 5+ years of experience designing and supporting data warehousing solutions such as Snowflake or Redshift • Preferred: 3+ years of experience in an Agile development environment • Preferred: 3+ years of experience developing user-centric reusable data products
• Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI) • Comprehensive, competitive health, financial, and other benefits supporting total well-being • Reasonable accommodations for applicants who require them
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