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Master Data Engineer

Capital One


Location:
McLean, VA
Date:
04/24/2017
Job Code:
capitalone2-R22988
Categories:
  • Engineering
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Job Details

Company Capital One

Job Title: Master Data Engineer

JobID: capitalone2-R22988

Location: McLean, VA, 22106, USA

Description: 1750 Tysons (12023), 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.



Master Data Engineer



Do you think about using data to unleash the power of applications? Do you build applications you are proud of and want to tell your friends about? Do you appreciate elegant solutions but also know when to build simple first and iterate? Capital One is seeking a Sr. Data Engineer to build extremely elegant and scalable data solutions to deliver a game changing user experiences insights across both internal and external customer touch points.



As part of the Consumer Banking team that's leading the next wave of disruption on a whole new scale, you will play an integral part in advancing Capital One's ecosystem and culture of technical excellence. Your areas of responsibility will range from message queues such as Kafka, Big Data solutions such as Hadoop, Dynamo, Redshift, Cassandra, Mongo, APIs, MicroServices, Distributed Processing and beyond.



Responsibilities & Expectations:



-Develop fast data infrastructure leveraging machine learning to personalize experiences for our customers.



-Develop analytical infrastructures to identify consumer patterns and fraud over petabytes of data.



- Experience with Hadoop, Nosql and Sql data stores including but not limited to Dynamo, Cassandra, Mongo, Postgress, Redshift.



- Technologies will evolve rapidly and you will have a chance to introduce them to Capital One.



-Leverage tool such as Apache Spark and H2O to enrich data and perform complex event processing.



-Automate the provisioning of environments pulling strings with Puppet, cooking up some recipes with Chef, or through Ansible, and the deployment of those environments using containers, like Docker or Rocket: (and for the love of automation, at least have some configuration management tool through some version control)



-Strong verbal and written communication skills are necessary due to the dynamic nature of collaborations with customers, vendors, and other engineering team, solving complex business problems together



-We're looking for self-starters, those who can work independently, with and across teams. Establishing smooth running environments is paramount to your success, and happiness



About You:



-Serious technical street cred if you worked on very large data sets and/or Open Source contributions of which you are proud to share!



-Discerning. You understand the importance of selecting the right technology tool for the task



-Insatiably Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea. You can work at a tiny crack until you've broken open the whole nut



-Automator. You know what continuous integration means, and believe automation is the path to happiness. You know how to script and automate anything and everything, from tests to environment provisioning



-Problem Solver. You are a natural problem solver with a curiosity about technology. Others describe you as a highly creative and curious technologist, one with excellent research skills



-You're not intimidated by challenges, even thriving in an unstructured environment where you're empowered to make a difference. In that context, you will be expected to research and develop cutting-edge technologies, to accomplish your challenge, should you choose to accept



-While a cape is optional, the uniform we're seeking is someone super passionate about their craft, particularly all things Data, and hyper-focused on delivering world-class solutions. Is this you? If this is your version of a cape, continue to apply.



Basic Qualifications:



-At least 6 years of development experience in Hadoop, NoSql and RDBMS systems.



-At least 2 years of professional experience with Complex Event Processors



-At least 1 years of professional experience Linux



-At least 1 years of professional experience developing applications using Agile principles



Preferred Qualifications:



-5+ years' experience with Data Engineering concepts



-4+ years' experience with Hadoop or Redshift



-1+ years' experience working with cloud automation/orchestration technologies (ie. Puppet, Chef, SpaceWalk, OpenStack, Ansible)



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



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.                                               


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