Data Engineer - Machine Learning (Python/Spark/AWS) - Card Tech

Locations: VA - McLean, 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.

Data Engineer - Machine Learning (Python/Spark/AWS) - Card Tech

As a Capital One Data Engineer, you'll be part of a team that's building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing - EMR, Airflow, SageMaker, etc. You will participate in detailed technical design, development and implementation of applications used by our data scientists and business analysts to build and launch models, analyze data, and make million dollar decisions. We work closely with our users and are looking for people who are excited to iterate quickly on solutions and see the impact in days, not months.

Who You Are

  • You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule
  • Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results
  • You love to learn new technologies and mentor junior engineers to raise the bar on your team
  • It would be awesome if you have a robust portfolio on Github and/or open source contributions you are proud to share
  • Passionate about intuitive and engaging user interfaces, as well as new/emerging concepts and techniques.


The Job
  • Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art data science, machine learning, and data analysis
  • Developing and deploying machine learning pipelines using cutting edge tools like Airflow, Dask, and Scikit-Learn
  • Developing frameworks to accelerate the model development lifecycle
  • Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake
  • Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment and Test Automation to enable the rapid delivery of working code utilizing tools like Jenkins, Terraform, Git and Docker
  • Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications
  • Bachelor's Degree or Military Experience
  • At least 2 years of professional work experience as a software or data engineer in an agile environment
  • At least 2 years of experience in open source programming languages
  • At least 1 year of experience working with cloud capabilities

Preferred Qualifications
  • Master's Degree or PhD
  • 4+ years of experience in Python, Scala, or R for large scale data analysis
  • 4+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)
  • 4+ years of UNIX/Linux experience
  • 2+ years of experience with Cloud computing (AWS)
  • 2+ years of data modeling experience
  • 1+ years of experience with Spark
  • 1+ years of experience in developing high volume transaction processing solutions that can be scaled for millions of daily transactions


At this time, Capital One will not sponsor a new applicant for employment authorization for this position.


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