Sr Manager, Data Engineering (Enterprise Data Services)

7900 Westpark Drive (12131), United States of America, Tysons, Virginia

At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Sr Manager, Data Engineering (Enterprise Data Services)

Do you want to re-imagine how we manage risk and build great products that users love? This may be the place for you, if:

  • You're passionate about engineering and obsess about code quality, performance, and CI/CD
  • You like to work with modern architecture and latest open source technologies: Microservices, Docker, AngularJS, Node.js, Java, Python, Kafka, Spark, and many many more
  • You take an interest in infrastructure resiliency and how your code actually works at runtime: OS, network, and AWS cloud
  • You thrive in a continuously learning and collaborative environment by reviewing other's code and asking them to do the same for you.
  • You participate in forums, hackathons, meetups, and conferences
  • You own your work by building systems to succeed in production, and you fix them when they don't

By joining our Risk and Governance team, you will:
  • Re-image risk as a competitive advantage by building microservices to fully automate and integrate the full lifecycle of risk management practices into our real-time, event-based data ecosystem in AWS
  • Build platforms and ML-driven capabilities to support investigations of AML and other financial crimes
  • Develop data and governance capabilities for the company's advanced analytic environments where data scientists rapidly build and deploy models & algorithms

Basic Qualifications:
  • Bachelor's Degree or military experience
  • At least 8 years of experience delivering custom software systems/platforms
  • At least 8 years of experience with either Java or Python
  • At least 2 years of experience with Spark
  • At least 2 years of experience working with Amazon Web Services (AWS)
  • At least 1 year of managing data or software engineering teams

Preferred Qualifications:
  • 10+ years experience delivering custom software systems/platforms
  • 3+ years experience managing and developing an engineering team
  • 2+ years experience working with Docker
  • 2+ years experience working with a container management solution (i.e. ECS, Kubernetes)
  • 2+ years experience with micro services architecture, design and implementation
  • 2+ years experience with RESTful web service framework
  • 2+ years experience working with automated DevOps system

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position

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