Distinguished Data Engineer- Bank Tech

Distinguished Data Engineer - Bank Tech at Capital One

Distinguished Data Engineers are individual contributors who strive to be diverse in thought and visualize problem space. At Capital One, we believe diversity of thought strengthens our ability to influence, collaborate, and provide innovative solutions across organizational boundaries. Distinguished Engineers will significantly impact our trajectory and devise clear roadmaps to deliver next‑generation technology solutions.

The Bank data organization at Horzianal is accelerating data modernization across the bank by defining, building, and operating on a unified, resilient, and compliant Enterprise Data Platforms. This role focuses on setting the technical vision, prototyping, and driving the most complex data domain architecture for the banking domains while partnering closely with enterprise teams to develop highly resilient data platforms.

• 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 inner‑source solutions where possible.
• Effectively communicate with and influence key stakeholders across the enterprise at all levels.
• 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.

• 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

• Master’s 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

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

The minimum and maximum full‑time annual salaries for this role are listed below, by location. Salaries are for candidates hired to perform work within the specified location and will reflect the amount Capital One is willing to pay at the time of this posting.

McLean, VA: $269,100 – $307,200

Philadelphia, PA: $244,700 – $279,200

Richmond, VA: $244,700 – $279,200

Wilmington, DE: $244,700 – $279,200

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

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

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 qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws 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 Recruitin 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

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).