Lead Data Engineer (intelligent Foundations And Experiences)
Capital One
McLean, VA, US
Mclean, va: $193,400 - $220,700; plano, tx: $175,8...
Java, scala, python
Rdbms and nosql databases
Cloud based data warehousing
As a Capital One Lead 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 Lead 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.
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 Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
Salary
McLean, VA: $193,400 - $220,700; Plano, TX: $175,800 - $200,700; Richmond, VA: $175,800 - $200,700; 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
real-time data and streaming applications
Distributed data/computing tools
Nice-to-have
pioneering in technology space
solving complex business problems
fast-paced, collaborative, inclusive environment
staying on top of tech trends
mentoring other members of the engineering community
Key Requirements
Bachelor’s Degree
At least 4 years of experience in application development
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing
7+ years of experience in application development
4+ years of experience with a public cloud
4+ 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