Capital One
Capital One
Capital One ir finanšu pakalpojumu un finanšu tehnoloģiju uzņēmums, kas piedāvā kredītkartes, auto aizdevumus, banku un uzkrājumu produktus. Uzņēmuma darbā finanšu zināšanas tiek apvienotas ar tehnoloģijām un digitālajiem rīkiem, lai uzlabotu to, kā klienti pārvalda savu naudu. Uzņēmuma karjeras iespējas ir vērstas uz klientiem paredzētu risinājumu veidošanu daudzveidīgā un iekļaujošā darba vidē.

Data Engineer at Capital One - New York City (Onsite)

Build secure, scalable cloud data platforms and pipelines for Capital One’s financial services business. Work with Python, Spark, Databricks, Snowflake, and distributed data technologies.

Apraksts

  • Partner with Agile teams to design, develop, test, implement, and support technical solutions
  • Guide developers, data analysts, and data scientists across machine learning, distributed microservices, lakehouse architecture, and full-stack systems
  • Develop with Python and Spark alongside open-source relational and NoSQL databases, Databricks, Snowflake, and cloud data warehouses
  • Track emerging data practices, test new technologies, contribute to technology communities, and mentor data professionals
  • Work with product managers and software engineers to deliver cloud-first data solutions serving millions of Americans
  • Independently design, build, and deliver cloud data applications and solutions
  • Establish and uphold data engineering patterns that promote code quality, maintainability, and reuse
  • Explain technical concepts and data results to internal and external stakeholders
  • Build scalable, resilient, and operationally efficient data pipelines and platforms
  • Apply data security controls such as encryption and fine-grained access management while maintaining privacy compliance

Prasības

  • Bachelor’s degree or higher in computer science or a related quantitative discipline, such as statistics, economics, operations research, analytics, mathematics, or engineering
  • At least four years of application development experience, excluding internships
  • At least two years of experience working with distributed data
  • At least two years of SQL experience
  • At least two years of experience with Python, Java, or Scala
  • At least two years of experience designing and developing data pipelines
  • At least one year of experience in data modeling and end-to-end data solution design across relational and non-relational databases
  • Capital One does not currently sponsor new employment authorization applicants or provide immigration-related support for this position
  • Preferred qualifications include seven or more years of application development, four or more years in public cloud environments, distributed data or compute workloads, real-time or streaming pipelines, data observability or orchestration tools, NoSQL databases, data warehousing, Agile development, and reusable data products

Priekšrocības

  • Performance-based incentive compensation may include cash bonuses and/or long-term incentives
  • Comprehensive, competitive, and inclusive health, financial, and other benefits designed to support overall well-being
  • Reasonable accommodations are available for applicants who need them

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