Capital One
Capital One
„Capital One“ yra finansinių paslaugų ir finansinių technologijų įmonė, siūlanti kredito korteles, paskolas automobiliams, bankininkystės ir taupymo produktus. Jos veikloje finansinė patirtis derinama su technologijomis ir skaitmeniniais įrankiais, kad klientams būtų lengviau valdyti savo pinigus. Įmonės karjeros srityje daugiausia dėmesio skiriama į klientus orientuotų sprendimų kūrimui įvairioje ir įtraukioje darbo aplinkoje.

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.

Aprašymas

  • 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.

Reikalavimai

  • 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

Privalumai

  • 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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