Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy-in
Strike the right balance between lending expertise and providing an inclusive environment where others’ ideas can be heard and championed; leverage expertise to grow skills in the broader Capital One team
Promote a culture of engineering excellence, using opportunities to reuse and innersource solutions where possible
Effectively communicate with and influence key stakeholders across the enterprise, at all levels of the organization
Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an unified manner
Lead the way in creating next-generation talent for Tech, mentoring internal talent and actively recruiting external talent to bolster Capital One’s Tech talent

Bachelor’s Degree
At least 7 years of experience in data engineering
At least 3 years of experience in data architecture
At least 2 years of experience building applications in AWS
Masters’ Degree (Preferred)
9+ years of experience in data engineering (Preferred)
3+ years of data modeling experience (Preferred)
2+ years of experience with ontology standards for defining a domain (Preferred)
2+ years of experience using Python, SQL or Scala (Preferred)
1+ year of experience deploying machine learning models (Preferred)
3+ years of experience implementing big data processing solutions on AWS (Preferred)

Comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Distinguished Data Engineer – Card Data

Key skills