Full Stack Engineer

Towers Crescent (12066), United States of America, Vienna, Virginia

Full Stack Engineer

We may be a bank, but we think and operate like a tech company. A tech company that writes its own code, develops its own software, and builds its own products. A tech company that experiments and innovates with the latest technologies, engineers breakthrough customer experiences, and brings simplicity and humanity to banking. 

We began life in 1988 by harnessing the power of big data to create customized products that disrupted the credit card industry.  Now we are doubling down on that big data strategy, and we are looking for great data engineers to join us.

As a Capital One Data Engineer, you'll be part of an Agile or platform team dedicated to breaking the norm and pushing the limits of continuous improvement and innovation. You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. Working within an Agile environment, you will provide input into architectural design decisions, develop code to meet story acceptance criteria, and ensure that the applications we build are always available to our customers. You'll have the opportunity to mentor other engineers and develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology.  At Capital One, we have seas of big data and rivers of fast data.  To tame it all we're using tools like Spark, Scala, Akka, Cassandra, Accumulo, HBase, Hadoop, HDFS, AVRO, MongoDB, and Mesos – and we're on the look-out for anything else that will help us.  

We are looking for intellectually curious and driven individuals to join our team of talented and passionate engineers in creating next generation data quality solutions for our Cloud and on-premises data platforms.

On any given day you will:

  • Develop integrated full-stack applications from the ground up using a modern technology stack such Spark, Scala, Java, Kafka, NiFi, Elastic Search, Kibana, Angular JS, Redshift, AWS S3
  • Design and build data quality solutions for cloud based analytical data warehouses, streaming platforms and fit for purpose data stores
  • Work directly with Product Owners and end-users to develop solutions in a highly collaborative and agile environment
  • Help grow and mentor team members on the fine art of data engineering and software abstractions

What we have:

  •  Flexible work schedules
  •  Convenient office locations
  •  Generous salary and merit-based pay incentives
  •  A startup mindset with the wallet of a top 10 bank
  • Monthly innovation challenges dedicated to test driving cutting edge technologies
  • Your choice of equipment (MacBook/PC, iPhone/Android Device)

What you have:

  • Bachelor's Degree or military experience
  • At least 2 years of experience in C, Java, or Scala
  • At least 2 years of experience with Unix/Linux systems with scripting experience in Shell or Python
  • At least 2 years of experience building data pipelines and fit for purpose data stores

  • At lest 4 years of experience delivering analytical data warehouse solutions or fit for purpose data stores
  • At least 2 years of experience working with AWS platforms and services
  • At least 1 year of experience working with Redshift and AWS S3
  • In depth experience working with automated build and continuous integration systems
  • Passion for learning, growing, and mentoring in a team environment 

#ilovedata #bigdata

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

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