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    Distinguished Data Engineer - Director

    Capital One

    , Vienna, VA 22183
    Full-time, Part-time

      Director, Data Science- Model Risk and Applied Innovation

      Capital One

      , Mclean, VA 22101
      Full-time, Part-time

        Distinguished Data Engineer - Director

        Capital One
        Vienna, VA 22183
        Full-time, Part-time
        Refer friends, get paid!

        Job Description

        Towers Crescent (12066), United States of America, Vienna, Virginia

        Distinguished Data Engineer - Director

        At Capital One, we believe in the values of excellence and doing the right thing. We are a technology-oriented company delivering financial  products to market through modern technology and constant innovation at a massive scale.

        Distinguished Engineers are...

        • 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

        • Leaders who gain the trust and confidence of those around them, from hands on engineers to executives

        Whether a member of our engineering or architecture teams, Distinguished Engineers are individual contributors expected to solve problems in a fast-paced, collaborative, and iterative delivery environment. In order to meet these demands, candidates should be influential engineering leaders with deep technology expertise, and a collaborative style that brings others into the decision-making process. Distinguished Engineers will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.

        Responsibilities:

        • Design and develop cutting-edge solutions, using existing and emerging technology platforms used to deliver and optimize data enterprise services

        • Provide technical leadership, evaluation and recommendations for data consumption engines and new technologies that can be used to advance new features and capabilities around analytics and use derived data sets

        • Leverage sound judgment and problem solving to tackle some of Capital One's most critical problems and connect the dots to broader implications of the work

        • Build awareness, increase knowledge and drive adoption of modern technologies and architecture patterns, sharing customer 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 and being well-managed, 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 integrated manner

        • Design, architect, and help implement a recommendation engine to help Capital One engineering teams comply with open source software version policies and procedures

        • Operate as a trusted advisor for a specific technology, platform or capability domain, helping to shape use cases and implementation in an integrated 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 data engineering experience

        • At least 5 years of experience developing in Spark, Python, SQL, Java, or Scala

        • At least 2 years of experience with data science Notebooks (Jupyter, Zeppelin, or RStudio)

        Preferred Qualifications:

        • Masters' Degree

        • 15+ years of data engineering experience

        • 10+ years of data governance  and security controls

        • 8+ years of data architecture design

        • 4+ years of experience with workflow automation

        • 4+ years of experience with AWS

        • 2+ years of experience with Databricks and Presto

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

        Posting ID: 600391307Posted: 2021-01-18