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Distinguished Data Engineers are individual contributors who strive to be diverse in thought so we visualize the problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next generation technology solutions. As a core member of our Risk Management technology group, you will spearhead the architecture and delivery of two transformative strategic initiatives: Nexus and our Risk Data Platform. You will be instrumental in engineering sophisticated data products for Compliance and Anti-Money Laundering (AML) while building a unified, self-service ecosystem for our data scientists. Your expertise will help us retire fragmented legacy systems in favor of a scalable, intelligent infrastructure designed for real-time decision-making.
Job Responsibility:
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
Requirements:
Bachelor’s Degree
At least 9 years of experience in data engineering
At least 5 years of experience in data architecture
At least 3 years of experience building applications in AWS
Nice to have:
Masters’ Degree
10+ years of experience in data engineering
3+ years of data modeling experience
2+ years of experience with ontology standards for defining a domain
2+ years of experience using Python, SQL or Scala
1+ year of experience deploying machine learning models
3+ years of experience implementing big data processing solutions on AWS
What we offer:
performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI)
comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being