Senior Manager, Data Engineering (intelligent Foundations And Experiences)
Capital One
McLean, VA, US
Mclean, va: $229,900 - $262,400; plano, tx: $209,0...
Java, scala, python
Rdbms and nosql databases
Cloud based data warehousing
As a Capital One Senior Manager Data Engineer, 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 Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Intelligent Foundations & Experiences (IFX) is a powerful collective of horizontal technology organizations that are driving Capital One’s real-time intelligent future.
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
Matching Summary
As a Capital One Senior Manager Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Salary
McLean, VA: $229,900 - $262,400; Plano, TX: $209,000 - $238,500; Richmond, VA: $209,000 - $238,500; Bonus/Equity: performance based incentive compensation; Benefits: comprehensive, competitive, and inclusive set of health, financial and other benefits
Skills & Requirements
Must-have
Java, Scala, Python
RDBMS and NoSQL databases
Cloud based data warehousing
Machine learning
Distributed microservices
Full stack systems
Nice-to-have
Staying on top of tech trends
Experimenting with new technologies
Participating in tech communities
Mentoring engineering community
Key Requirements
6 years of experience in application development
2 years of experience in big data technologies
1 year experience with cloud computing
4 years of people management experience
Master's Degree
9+ years of experience in application development
4+ years of experience with a public cloud
5+ years experience with Distributed data/computing tools
4+ year experience working on real-time data and streaming applications
4+ years of experience with NoSQL implementation
4+ years of data warehousing experience
4+ years of experience with UNIX/Linux
2+ years of experience with Agile engineering practices