Senior Manager, Data Engineering (enterprise Platforms Technology)

EPX

Mclean, VA, United States
Base: $229,900 - $262,400; bonus/equity: performan...
Data movement tools and technologies
Cloud computing with aws or azure or google cloud
Python and sql programming
As a Capital One Senior Manager in Data Engineering, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One

Job Summary

  • As a Capital One Senior Manager in Data Engineering, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
  • The Marketing and Messaging team builds scalable platforms that deliver omnichannel messages in owned and paid Adtech channels to delight customers and drive business value.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

As a Capital One Senior Manager in Data Engineering, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.

Salary

Base: $229,900 - $262,400; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • data movement tools and technologies
  • cloud computing with AWS or Azure or Google Cloud
  • Python and SQL programming
  • data warehousing with Snowflake or Databricks
  • people management experience
  • distributed computing tools like Spark and Hadoop

Nice-to-have

  • mentoring engineering community
  • collaborating with Agile teams
  • experimenting with new technologies
  • working with real-time data and streaming
  • leveraging AI-assisted coding tools

Key Requirements

  • Bachelor’s Degree
  • At least 6 years of application development experience
  • At least 2 years big data technologies experience
  • At least 1 year cloud computing experience
  • At least 4 years people management experience
  • Preferred Master’s Degree
  • 9+ years application development including Python, SQL, Spark
  • 4+ years public cloud experience
  • 5+ years distributed data/computing tools experience
  • 4+ years real-time data and streaming experience
  • 4+ years NoSQL implementation experience
  • 4+ years data warehousing experience
  • 4+ years UNIX/Linux experience
  • 4+ years data modeling for warehousing
  • 2+ years Agile engineering practices
  • 6+ years people management experience
  • 1+ years AI-assisted coding tools experience

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter