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Capital One
Capital One
H1B vīzas sponsorsBanku darbībaFinansesFintech
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.
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Vakances uzņēmumā

Senior Staff Data Engineer - Remote in the United States

Lead enterprise data engineering and cloud architecture at Capital One. Shape scalable data platforms, governance, pipelines, and modern banking technology.

USAmerikas Savienotās ValstisNYŅujorkaVAVirdžīnija
286 200 $ – 392 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu inženieris
AWSJavaKafkaMākonisNoSQLPythonScalaSparkSQL

Apraksts

  • Shape the future of cloud-based data platforms for banking.
  • Develop innovative, scalable, and reusable solutions for complex data challenges.
  • Set technical direction for data pipelines and data-sharing capabilities across business lines.
  • Advance engineering practices, delivery speed, platform scalability, operational excellence, performance, and resilience.
  • Increase awareness and adoption of modern technologies.
  • Champion engineering excellence, solution reuse, and innersourcing.
  • Communicate with and influence stakeholders throughout the enterprise.
  • Provide guidance across technology, platform, and capability domains.
  • Mentor internal employees and help recruit external talent.
  • Evaluate emerging developments in data, AI, and engineering and create an integration roadmap.
  • Lead strategic alignment and integration decisions across data systems and business units.
  • Maintain data strategy documentation, governance policies, architecture blueprints, and data product roadmaps.
  • Design and implement critical data initiatives while shaping architectural standards.
  • Work hands-on with AWS, lakehouse architecture, Kafka, Flink, Spark, Snowflake, Databricks, Python, SQL, Java, and Scala.

Prasības

  • Bachelor’s degree in computer science or a related quantitative discipline, such as statistics, economics, operations research, analytics, mathematics, or 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 on AWS.
  • At least 7 years of programming experience 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 end-to-end data solution design using relational and non-relational databases.
  • A master’s degree in computer science or a related discipline is preferred.
  • More than 11 years of experience in data engineering is preferred.
  • Preferred experience includes ontology standards, machine learning model deployment, public cloud, distributed data or compute workloads, real-time or streaming pipelines, observability or orchestration tools, NoSQL, data warehousing, Agile development, and reusable data products.
  • Capital One may sponsor employment authorization for a new qualified applicant.
  • benefits

Priekšrocības

  • Performance-based incentive compensation may include cash bonuses and/or long-term incentives.
  • Comprehensive, competitive, and inclusive health, financial, and other benefits support employees’ overall well-being.
  • Employment authorization sponsorship may be considered for a new qualified applicant.
  • Reasonable accommodations are available for applicants who need them.

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