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Distinguished Data Engineer - Card Data

Capital One

$239,900 - $328,500
Oct 30, 2025
San Francisco, CA, US
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Capital One is seeking a Distinguished Data Engineer to build the future of financial services by managing and leveraging petabytes of sensitive, real-time and batch data that powers fraud detection models, personalized reward systems, and regulatory compliance reporting. The role aims to architect high-availability solutions that directly influence millions of customer experiences and secure billions in transactions daily, solving complex, high-stakes problems with cutting-edge cloud technologies.

Requirements

  • At least 7 years of experience in data engineering
  • At least 3 years of experience in data architecture
  • At least 2 years of experience building applications in AWS
  • 9+ years of experience in data engineering
  • 3+ years of data modeling experience
  • 2+ years of experience using Python, SQL or Scala
  • 1+ year of experience deploying machine learning models

Responsibilities

  • architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily
  • own critical data domains end-to-end
  • working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS)
  • build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
  • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
  • Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

Other

  • Distinguished Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space.
  • As a leader in Data Engineering, you won't just move data; you'll architect high-availability that directly influence millions of customer experiences and secure billions in transactions daily.
  • This leader must have the ability to attract and recruit the industry’s best talent, and simultaneously have the technical chops to ensure that we build compelling, customer-oriented solutions in an iterative methodology.
  • Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics.
  • Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team