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Capital One Distinguished Data Engineer - Card Technology United States, Virginia, Arlington 110597117
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You will work alongside our talented team of developers, machine learning experts, product managers and people leaders. Our Distinguished Engineers are leading experts in their domains, helping devise practical and reusable solutions to complex problems. You will drive innovation at multiple levels, helping optimize business outcomes while driving towards strong technology solutions.
Distinguished Engineers are expected to lead through technical contribution. You will operate as a trusted advisor for our key technologies, platforms and capability domains, creating clear and concise communications, code samples, blog posts and other material to share knowledge both inside and outside the organization. You will specialize in a particular subject area, but your input and impact will be sought and expected throughout the organization.
In this role, you will work with our Card Data Architecture team to provide world-class data experiences that our end users love. You'll be a key player in building and shaping the future of our data infrastructure, leveraging next-generation technologies like Generative AI and Machine Learning to solve some of the hardest problems in the financial sector – all at Capital One scale.
Key responsibilities:
Articulate and evangelize a bold technical vision for your domain
Decompose complex problems into practical and operational solutions
Ensure the quality of technical design and implementation
Serve as an authoritative expert on non-functional system characteristics, such as performance, scalability and operability
Continue learning and injecting advanced technical knowledge into our community
Handle several projects simultaneously, balancing your time to maximize impact
Act as a role model and mentor within the tech community, helping to coach and strengthen the technical expertise and know-how of our engineering and product community
Have a software engineering/problem solving mindset being equally comfortable with deep diving on real time and batch data pipelines, with an understanding of how to build highly resilient operational platforms that can scale to 50k+ TPS with 4 9’s availability.
In-depth knowledge of handling large data pipelines to clean, transform , and observe data.
General understanding of Machine Learning principles and generative AI
Operate with a platform mindset with deep familiarity on multi-tenancy, serverless computing, high performance computing patterns
Bachelor’s Degree
At least 7 years of experience in Data Engineering
Masters’ Degree
8+ years of experience in developing production-grade data pipelines for big data needs
10+ years of experience in microservices, real time API development for distributed operational systems
8+ years of experience in cloud native platforms ( EventBridge, Fargate, lambdas, DynamoDB).
Experience with modern data platform strategies (Data Mesh, Data Fabric)
. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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