Mclean, va: $229,900 - $262,400; new york, ny: $25...
Data movement tools and technologies
Python, sql, open source rdbms
Cloud based data warehousing services
As a Capital One Senior 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 Senior Lead Data Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
The Cloud Operations Resilience Engineering (CORE) Technology division is responsible for enabling and evolving Capital One’s foundational cloud infrastructure layer, including observability, connectivity, resilience and availability.
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 Lead 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; New York, NY: $250,800 - $286,200; 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
data movement tools and technologies
Python, SQL, Open Source RDBMS
Cloud based data warehousing services
emerging technologies
distributed computing
full stack systems
Nice-to-have
passion for staying on top of tech trends
experimenting with and learning new technologies
participating in technology communities
mentoring other members
Key Requirements
Bachelor’s Degree
At least 6 years of experience in application development
At least 2 years of experience in big data technologies
At least 1 year experience with cloud computing
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
4+ years experience with data modeling for data warehousing
2+ years of experience with Agile engineering practices