Sep 13, 2019

Data Engineer

  • Capital One
  • Vienna, VA, USA
Full time Data Engineer

Job Description

We are looking for a passionate technologist with a knack for delivery to join a team of engineers to build and/or implement automated, cloud-based environments and tools to support our business analytical insights and reporting agenda. We are re-imagining how analysts discover, prepare and publish data at Capital One and this is an opportunity to display knowledge of your craft by having a hand in building large-scale reliable data applications and platforms. You will be an integral part of advancing the culture of technical excellence within Capital One and creating experiences to delight our analytical associates who will use your products to make decisions critical to the business!

What you’ll do:

  • Help develop sustainable data solutions with current and leading gen data technologies to meet the needs of our organization and business customers

  • Grasp/master new technologies rapidly as needed to progress varied initiatives

  • Break down complex data issues and resolve them

  • Build robust systems with an eye on the long-term maintenance and support of the application

  • Work directly with the product owner and end-users to constantly deliver products in a highly collaborative and agile environment

Who you are:

  • Someone with a strong sense of engineering craftsmanship, and takes pride in creating work products (code, etc.)

  • A believer that good development includes good testing, documentation, and collaboration

  • A good communicator with strong reasoning skills, who can make a case for technology choices

  • Curious. Ask questions and desire to understand the ‘Why’ to drive the ‘How’ or ‘What’ of a solution

  • Self-driven, actively looking for ways to contribute, and know-how to get things done

Basic Qualifications

  • Bachelor’s Degree

  • At least 3 years of microservices development experience: Python, Java, Bash, or Scala

  • At least 3 years of experience building data pipelines, CICD pipelines, and fit for purpose data stores

  • At least 3 years of experience with Big Data Technologies: Apache Spark, Hadoop, or Kafka 

  • At least 1 year of experience in Cloud technologies: AWS, Azure, OpenStack, Docker, Ansible, Chef or Terraform

Preferred Qualifications

  • Master’s Degree

  • 2+ years of experience working with AWS: S3, EMR, or EC2

  • 3+ years of experience working with data consumption patterns in SQL or Python applications

  • 3+ years of experience working with automated build and continuous integration systems

  • 2+ years of experience with Unix or Linux systems

  • 1+ years of experience with NOSQL Graph Databases


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


Data Engineer