Data Intelligence Platform Engineer

  • Company: Capital One
  • Location: Vienna, Virginia
  • Posted: January 11, 2017
  • Reference ID: R17296
Towers Crescent (12066), United States of America, Vienna, Virginia

Data Intelligence Platform Engineer

Who We Are: Capital One is a technology company, a research laboratory, and a nationally recognized brand with over 65 million customers. We offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients - and data is at the center of everything we do. In December 2015, Capital One was named a Blue Ribbon Company by Fortune Magazine as one of only 25 companies in the world to make their top company lists four times in 2015 (Fortune’s 100 Best Companies to Work For, Global 500, Fortune 500, World’s Most Admired Companies).

Capital One was also named as Top Workplace in the Greater Chicago area for 2015 by The Chicago Tribune and 5th among the large companies. Come learn more about the great opportunities we have to offer!

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

- 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
- Drive cross team design / development via technical leadership / mentoring
- Understands complex multi-tier, multi-platform systems

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

Basic Qualifications:
- Bachelor’s Degree or military experience
- At least 3 years in coding in data management, data warehousing or unstructured data environments
- At least 3 years’ experience with leading big data technologies like Cassandra, Accumulo, HBase, Spark, Hadoop, HDFS, AVRO, MongoDB, Zookeeper

Preferred Qualifications:
- Master's Degree

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

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

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