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Capital One Distinguished Engineer - Card Servicing 
United States, New York, New York 
357595765

Today
Distinguished Engineer - Card Servicing

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.

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.

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

  • Lead data-focused architecture and integration strategy across multiple Capital One domains. Responsibilities will include defining standardized integration patterns, design/creation of data products and ensuring a focus on encryption, quality, and governance.

  • Work with engineering teams to ensure creation/maintenance of scalable and performant real-time/near-real time data pipelines for analytical and ML/AI usage.

  • Pair with teams building data-intensive API-based services to make intentional choices related to input/output (IO) operations, such as storage, retrieval, and data processing.

  • Identify and act on opportunities for application reuse and consolidation, both within your domain and by providing or consuming capabilities from other domains or lines of business.

  • Ensure architecture decisions are clearly reasoned, documented and communicated within your line of business - and across lines of business.

  • Lead hands-on problem solving activities through the software delivery lifecycle - from planning to maintenance - ensuring that all voices are heard and understood while driving to timely, realistic solutions.

  • Promote an inclusive culture of engineering excellence and being well-managed - using opportunities to inner source solutions where possible.

  • Influence Product/Tech/Cyber stakeholders to balance excellence with doing the right thing on key technical decisions.

Basic Qualifications:

  • Bachelor’s Degree

  • At least 7 years of experience in software or data engineering

  • At least 3 years of experience in data architecture

  • At least 2 years of experience building applications in AWS

Preferred Qualifications:

  • Masters’ Degree

  • 9+ years of experience in software or 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

McLean, VA: $263,900 - $301,200 for Distinguished Engineer New York, NY: $287,800 - $328,500 for Distinguished Engineer Plano, TX: $239,900 - $273,800 for Distinguished EngineerThis 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.

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

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