Data Engineer

Capital One Financial Corporation, incorporated in July 21, 1994, is a diversified banking company focused primarily on consumer and commercial lending and deposit origination. Its principal business segments are Local Banking and National Lending.

The Role:

We are looking for driven individuals to join our team of passionate data engineers in creating Capital One’s next generation of data products and capabilities.

• You will build data pipeline frameworks to automate high-volume and real-time data delivery for our Hadoop and streaming data hub
• 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
• 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

Responsibilities:

• Develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business Customers
• Ability to grasp new technologies rapidly as needed to progress varied initiatives
• Break down data issues and resolve them
• Build robust systems with an eye on the long term maintenance and support of the application
• Leverage reusable code modules to solve problems across the team and organization
• Utilize a working knowledge of multiple development languages

Basic Qualifications:

• Bachelor’s Degree or military experience
• At least 2 years in coding in data management, data warehousing or unstructured data environments
• At least 2 years experience working with leading big data technologies like Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, Zookeeper

Preferred Qualifications:

• Master's Degree
• 2+ years experience with Agile engineering practices
• 2+ years in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
• 2+ years experience with NoSQL implementation (Mongo, Cassandra, etc. a plus)
• 2+ years experience developing Java based software solutions
• 2+ years experience in at least one scripting language (Python, Perl, JavaScript, Shell)
• 2+ years experience developing software solutions to solve complex business problems
• 2+ years experience with Relational Database Systems and SQL
• 2+ years experience designing, developing, and implementing ETL
• 2+ years experience with UNIX/Linux including basic commands and shell scripting.