Distinguished Data Engineer - Card Technology

Distinguished Data Engineer - Card Technology

As a Distinguished Engineer at Capital One, you will be a part of a community of technical experts working to define the future of banking in the cloud.

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.

At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate and provide the most innovative solutions across organizational boundaries. You will promote a culture of engineering excellence, and strike the right balance between lending expertise and providing an inclusive environment where the ideas of others can be heard and championed. You will lead the way in creating next-generation talent for Capital One Tech, mentoring internal talent and actively recruiting to keep building our community.

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.

About the team: 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.

We're passionate about finding innovative solutions while maintaining a strong governance practice and ensuring data observability. If you are ready to provide thought leadership and build engineering excellence across Capital One's engineering teams, come join us in our mission to change banking for good.

 

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

Basic Qualifications:

• Bachelor’s Degree

• At least 7 years of experience in Data Engineering
   

Preferred Qualifications:

• 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)
   

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital O