Senior Manager Data Engineering (Machine Learning)

McLean 1 (19050), United States of America, McLean, 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.

Senior Manager Data Engineering (Machine Learning)

Are you a high performing data engineer and/or data scientist that has experience leading, mentoring and ideally managing a team of data scientists and engineers? Are you looking to apply the latest machine learning research in production implementations? Do you enjoy collaborating with your engineering team and your business partners to find creative ways to use machine learning to drive business objectives? You could be a great match for a Senior Manager role at Capital One.

As a Senior Manager, you will manage and tech lead teams that build fast data and machine learning solutions to create and improve some of the most interesting use cases in the financial services industry. You will be responsible in particular for building, launching and scaling MLaaS (Machine Learning as a Service). You will be comfortably operating at 2 levels starting with being tactical and hands-on, working side-by-side with the team on architecture, design, code, code reviews, support and troubleshooting. You will also operate as comfortably with executives, product/business partners, early adopters and helping define the product and technical roadmap and scaling up this platform. This is a highly visible project that helps our teams of Data Scientists to leverage the power of the Cloud and Micro-Services to re-use and scale their Models to many use cases.

What you will bring to the role:

  • Excellent communication skills
  • Leadership skills, mentorship, and management of team members
  • Demonstrated ability to build full-stack systems architected for speed and distributed computing.
  • Demonstrated ability to quickly learn new tools and paradigms to deploy cutting-edge solutions.
  • Experience teaching junior engineers.
  • Adept at simultaneously working on multiple projects, meeting deadlines, and managing expectations.


Basic Qualifications:
  • Bachelor's Degree
  • At least 8 years of experience designing and building full stack solutions
  • At least 6 years of experience working with Python, Scala or Java
  • At least 4 years of people management experience
  • At least 4 years designing, building and launching to production Micro-service based solutions
  • At least 4 years leading teams in code review, code development and balancing feature requests with feasibility constraints
  • At least 1 year of experience working with Docker


Preferred Qualifications:
  • Master's Degree or PhD
  • At least 2+ years working on consulting or client service engagements
  • At least 2+ years experience with Big Data Frameworks (Spark or Kafka)
  • At least 2+ years experience with RESTful web service framework
  • At least 2+ years building applications that use statistical or machine learning methods
  • At least 2+ years utilizing distributed computing or cloud-based solutions
  • At least 2+ years developing in Python
  • At least 1+ year experience with Machine Learning, training and executing models


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


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