Distinguished Data Engineer - Card Data

Capital One•McLean, VA

20h

About The Position

Distinguished Data Engineers are individual contributors who strive to be diverse in thought to visualize the problem space. At Capital One, diversity of thought strengthens the ability to influence, collaborate and provide innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact the company's trajectory and devise clear roadmaps to deliver next generation technology solutions. Capital One is seeking a Distinguished Data Engineer to work in the Credit Card Technology Data Engineering Team and build the future of financial services. This is a fast-paced, mission-driven group responsible for managing and leveraging petabytes of sensitive, real-time and batch data that powers everything from fraud detection models and personalized reward systems to regulatory compliance reporting. As a leader in Data Engineering, you will architect high-availability solutions that directly influence millions of customer experiences and secure billions in transactions daily. You will own critical data domains end-to-end, working cross-functionally with ML Scientists, Product Managers, and Business Analysts teams etc to solve complex, high-stakes problems with cutting-edge cloud technologies (like Snowflake, Kafka, and AWS). Success in the role requires an innovative mind, a proven track record of delivering next generation software and data products, rigorous analytical skills, and a passion for delivering customer value through automation, machine learning and predictive analytics. Distinguished Engineers are deep technical experts and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices. They are visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of customers and associates. They are role models and mentors, helping to coach and strengthen the technical expertise and know-how of the engineering and product community. They are evangelists, both internally and externally, helping to elevate the Distinguished Engineering community and establish themselves as a go-to resource on given technologies and technology-enabled capabilities.

Requirements

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

Nice To Haves

Masters’ Degree
9+ 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

Responsibilities

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