Distinguished Data Engineer

Distinguished Data Engineer

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.

• 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

The Capital One File Transfer platform is a business-critical delivery channel for integrating systems, enabling partners to securely send and receive files with Capital One. It utilizes industry-standard protocols, alongside cutting-edge cloud-to-cloud and multi-cloud transfer technologies, to facilitate these essential data exchanges. This platform is vital for the company's daily operations and future growth.

The application's complexity arises from the need to securely share petabytes of data annually with thousands of partners.

As an engineer on this platform, your primary challenge will be developing more reliable and cost-efficient ways to manage these massive data volumes, ensuring security, performance, and scalability.

• 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 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

• 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

• Masters’ 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 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.

McLean, VA: $269,100 - $307,200 for 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.

Capita…