Big-Fast Data Engineer
Location:
Vienna , Virginia
Posted:
February 08, 2017
Reference:
R17268
Towers Crescent (12066), United States of America, Vienna, Virginia

Big-Fast Data 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 driven individuals to join our team of passionate data engineers and create Capital One's next generation of data products and capabilities.

  • You will build data pipeline frameworks to automate high-volume data delivery for our Hadoop and streaming data hub
  • You will transform complex analytical models into scalable, deployable solutions
  • You will continuously integrate and ship code into our Production environment
  • You will develop applications from ground up using a modern technology stack such as Scala, Spark, Postgres, Angular JS, and NoSQL
  • You will work directly with Product Owners and customers to deliver data products in a collaborative and agile environment
  • You will help grow and mentor other team members

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 in web design
  • You use, or are passionate about learning, Spark, Scala, Akka, Kafka, Cassandra, Accumulo, HBase, Hadoop, HDFS, AVRO, MongoDB, and Mesos – and anything else that will help you solve big, messy problems 

Basic Qualifications:

  • Bachelor's Degree or military experience
  • At least 2 years of experience in C, Java, Go, Scala, or Python
  • At least 2 years of experience with Unix/Linux systems with scripting experience in Shell, Perl or Python

Preferred Qualifications:

  • 4+ years of experience working with frameworks such as Spark, Hbase, Kafka
  • 2+ years of experience working with Cloud platforms and services
  • 2+ years of experience working with automated build and continuous integration systems

#ilovedata #bigdata

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


A little about us:
Headquartered in McLean, Virginia, Capital One® offers a broad array of financial products and services to consumers.

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