Distinguished Data Engineer- Bank Tech

Capital One

McLean, VA, USA
Mclean, va: $269,100 - $307,200; philadelphia, py:...
Not specified (assumed hybrid based on industry norms)
Enterprise data platforms
Data modernization
Technical vision
Capital One is seeking a Distinguished Data Engineer for their Bank Tech division, focusing on driving data modernization and architecture within the banking domain. The role requires significant experience in data engineering and architecture, particularly in AWS, and emphasizes collaboration, mentorship, and innovation

Job Summary

  • Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions.
  • Enable bank domains to produce and leverage modern data for a modern bank.
  • Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible.

Matching Summary

Match Score: 85

Capital One is seeking a Distinguished Data Engineer for their Bank Tech division, focusing on driving data modernization and architecture within the banking domain. The role requires significant experience in data engineering and architecture, particularly in AWS, and emphasizes collaboration, mentorship, and innovation.

Salary

McLean, VA: $269,100 - $307,200; Philadelphia, PA: $244,700 - $279,200; Richmond, VA: $244,700 - $279,200; Wilmington, DE: $244,700 - $279,200; Bonus/Equity: Performance based incentive compensation; Benefits: Comprehensive, competitive, and inclusive set of health, financial and other benefits

Skills & Requirements

Must-have

  • Enterprise Data Platforms
  • data modernization
  • technical vision
  • data architecture
  • resilient data platforms
  • engineering excellence

Nice-to-have

  • diversity of thought
  • thought leaders
  • mentors
  • evangelists
  • innovative solutions

Key Requirements

  • Bachelor’s Degree
  • 7+ years data engineering experience
  • 3+ years data architecture experience
  • 2+ years AWS application development
  • Masters’ Degree
  • 9+ years data engineering experience
  • 3+ years data modeling experience
  • 2+ years ontology standards experience
  • 2+ years Python, SQL, or Scala experience
  • 1+ year ML model deployment experience
  • 3+ years big data processing on AWS

Work Rights

Not specified

Sponsorship: available

Tailored Resume

Cover Letter