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Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer

Capital One

Company : Capital One

Location : Richmond, VA, 23214

Posted Date : 5 November 2025

Job Type : Part Time

Category : Software Development

Occupation : Data Engineer

Job Details

Sr. Distinguished, Data Engineer - Enterprise Data Storage and Consumption Platforms Data Engineer

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

About the Team

You will join the Data Storage & Consumption Platform team within Enterprise Data, serving as a Senior Director-level Individual Contributor (IC). This role demands a visionary and hands‑on leader to drive the technical strategy for consumption platforms leveraged by all lines of business. Your focus is on maturing platform scalability, operational excellence, performance, and resiliency. We require deep expertise in AWS infrastructure, Lakehouse architecture, Snowflake, Databricks platform, and BI tools to mature these enterprise‑scale systems and execute technical strategy.

Key Characteristics of Senior Distinguished Engineers

  • 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.
  • Visionaries, collaborating on Capital One’s toughest issues, to deliver on business needs that directly impact the lives of our customers and associates.
  • Role models and mentors, helping to coach and strengthen the technical expertise and know‑how of our engineering and product community.
  • 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.

Responsibilities

  • Build awareness, increase knowledge and drive adoption of modern technologies, sharing consumer and engineering benefits to gain buy‑in.
  • Identify, benchmark and contribute towards opportunities to improve system availability, security, reliability, cost optimization and performance.
  • 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.

Basic Qualifications

  • Bachelor’s Degree.
  • At least 7 years of experience in software engineering or data engineering.
  • At least 5 years of people management experience.
  • At least 3 years of experience with Big Data and data streaming.
  • At least 3 years of experience with cloud‑based data platforms (Amazon Web Services, Microsoft Azure, Google Cloud Platform).
  • At least 9 years of experience in data engineering writing production‑quality code with a focus on distributed systems.

Preferred Qualifications

  • Master’s Degree.
  • 10+ years of experience in data engineering.
  • 3+ years of experience implementing big data frameworks and processing solutions.
  • 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.

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

Salary Ranges

  • Chicago, IL: $280,600 - $320,200 for Sr Distinguished Data Engineer
  • McLean, VA: $308,700 - $352,300 for Sr Distinguished Data Engineer
  • New York, NY: $336,700 - $384,200 for Sr Distinguished Data Engineer
  • Richmond, VA: $280,600 - $320,200 for Sr Distinguished Data Engineer
  • San Francisco, CA: $336,700 - $384,200 for Sr Distinguished Data Engineer

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.

For accessibility accommodations, 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.

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).

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