Distinguished Data Engineer - Card Technology

Distinguished Data Engineer

Below covers everything you need to know about what this opportunity entails, as well as what is expected from applicants.

• 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 One is willing to pay at the time of this posting.

Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Chicago, IL : $239,900

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and / or long term incentives (LTI).

Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Learn more at the Capital One Careers website .

Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please.

Capital One is an equal opportunity employer (EOE, including disability / vet) committed to non-discrimination in compliance with applicable federal, state, and local laws.

Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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 RecruitingAccommodation@capitalone.com .

All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities.

Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp.

(COPSSC).