Sign In
 [New User? Sign Up]
Mobile Version

Machine Learning, Senior Data Engineer

Capital One


Location:
McLean, VA
Date:
03/23/2017
Job Code:
capitalone2-R21701
Categories:
  • Engineering
  •  
  • Save Ad
  • Email Friend
  • Print
  • Research Salary

Job Details

Company Capital One

Job Title: Machine Learning, Senior Data Engineer

JobID: capitalone2-R21701

Location: McLean, VA, 22106, USA

Description: 1750 Tysons (12023), United States of America, McLean, Virginia



Machine Learning, Senior Data Engineer



Capital One has a history of disrupting, and we are doing it again. We’re experimenting, innovating, and delivering really cool stuff to 65 million customers. We love to be curious, to dream, to ask, “What if?” Oh, and we love to write code.



Here are some of our favorites:



+ https://youtu.be/YWHZOx0YTc0

+ https://developer.capitalone.com at https://developer.capitalone.com/



We are looking for bright, driven, and talented Data Engineers to join our team of passionate and innovative software engineers. In this role, you’ll use your experience with Python/Java/Scala, Fast Data, Big Data, Streaming and Cloud technologies tobuildour next generation of Data capabilities.



+ Write code (delivering solutions for storing, exporting, manipulating, and analyzing data at scale)

+ Demand quality (improving our data operations and analytics through automation)

+ Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data application, utilizing programming languages likePython, Java,Scala, and Open Source RDBMS and NoSQL databases like PostgreSQL, MongoDB, and Redshift

+ You will build data APIs and data delivery services that support critical operational and analytical applications for our internal business operations, customers and partners

+ You will transform complex analytical models into scalable, production-ready solutions

+ You will continuously integrate and ship code into our on premise and cloud Production environments

+ Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Flink and Kafka on AWS Cloud

+ Implement the best DevOps practices like Continuous Integration, Continuous Deployment, Test Automation,BuildAutomation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Ansible, Teraform, Git and Docker



\#ilovedata



**Basic Qualifications:**



+ At least 5 years experience in coding in data management, data warehousing or unstructured data environments

+ At least 5 years experience with leading big data technologies like Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, Zookeeper

+ At least 3 years experience with UNIX/Linux including basic commands and shell scripting

+ At least 3 years experience in at least one scripting language (Python, Perl, JavaScript, Shell)



**Preferred Qualifications:**



+ 3+ years experience with Agile engineering practices

+ 3+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)

+ 3+ years experience with NoSQL implementation (Mongo, Cassandra, etc. a plus)

+ 3+ years experience developing Java based software solutions

+ 3+ years experience developing software solutions to solve complex business problems



_This is a Mid to senior-level position that is permanent and full-time, beginning as soon as we find the right person._



**_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.                                               


Featured Employers

Featured Jobs

CareerConnection Video