Dev-posted 9 days ago
Full-time • Manager
Hybrid • Poughkeepsie, NY
11-50 employees

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

  • Lead and develop sustainable data driven solutions with current new gen data technologies to meet the needs of our organization and business customers
  • Master new technologies rapidly as needed to progress varied initiatives
  • Break down complex data issues and resolve them
  • Builds 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
  • Drive cross team design and influencing / development via technical leadership / mentoring
  • Influence cross team/matrix organization
  • Broader knowledge sharing
  • Provide technical guidance to team members
  • Understands complex multi-tier, multi-platform systems
  • Manage a team of data engineers (both full-time associates and/or third party resources)
  • Bachelor’s Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud)
  • At least 2 years of people management experience
  • Master's Degree
  • 7+ years of experience in application development (Python, SQL, Scala, or Java)
  • 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
  • 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
  • 4+ year experience working on real-time data and streaming applications
  • 4+ years of experience with NoSQL implementation (Mongo, Cassandra)
  • 4+ years of data warehousing experience (Redshift or Snowflake)
  • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
  • 4+ years of experience with Agile engineering practices
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