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Distinguished Data Engineer - Machine Learning

Location McLean, Virginia
Job ID R100426 Updated date 09/11/2020
1750 Tysons (12023), United States of America, McLean, Virginia

At Capital One, we’re building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding.                                               

Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

Distinguished Data Engineer - Machine Learning

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, senior-level individual contributors and thought leaders that help accelerate adoption of the very best engineering practices, while maintaining knowledge on industry innovations, trends and practices

  • Visionaries, helping solve  Capital One’s toughest technology challenges, to deliver on business needs that directly impact the lives of millions 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

  • Supporters, 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

  • Those 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. They will significantly impact the Tech agenda within their organization and devise clear roadmaps to deliver next generation technology solutions across organizational boundaries.

 

The Distinguished Engineer will be a hands-on (see: codes) individual contributor that will be part of the leadership team supporting our Marketing, Decision and Enablement, and Decisioning/Machine Learning Platform team within the Retail and Direct Technology organization (supports Capital One Bank). They will be responsible for tackling our hardest problems, establishing patterns, collaborating across teams and lines of business, and bringing SME-level knowledge around Data Engineering and Machine Learning Engineering domains. It is critically important to be able to tackle problems specifically (hands to keyboard) and influence (through engineering engagement) to scale our practice. 

 

Responsibilities:

  • Design and develop cutting-edge solutions, using existing and emerging technology platforms specific to Data Engineering and Machine Learning Engineering (feature calculation, streaming and batch, machine learning lifecycle and platforms)

  • Build real-time and batch machine learning solutions at scale

  • Partner closely with Data Scientist to operational, scale, and contribute to model development lifecycle

  • 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 (as both an individual contributor and influencer)

  • Build awareness, increase knowledge and drive adoption of modern technologies and architecture patterns, sharing customer and engineering benefits to gain buy-in (working closely with leaders, other SMEs, and engineers)

  • 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 (balance being a great coach and listener)

  • Promote a culture of engineering excellence and being well-managed, using opportunities to reuse and innersource solutions where possible (always consider resiliency and impact; major focus on customer experience)

  • 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 solution to meet our software version management challenges

  • Design, architect, and help implement a system of record to monitor our usage of open source software

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

  • Facilitate the integration of these solutions into the overall Capital One SDLC processes

 

Basic Qualifications:

  • Bachelor’s Degree

  • At least 8 years of data engineering experience

  • At least 5 years of experience coding in Java, Scala, or Python

  • At least 3 years of experience working with Machine Learning

  • At least 3 years of experience working with data streaming solutions

  • At least 3 years of experience working with Big Data

  • At least 3 years of experience in Spark, PySpark, or Flink

 

Preferred Qualifications:

  • Masters’ Degree

  • 10+ years of data engineering experience

  • 8+ years of experience coding in  Java, Scala, or Python

  • 5+ years of experience working with Machine Learning

  • 4+ years of experience with AWS

 

 

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

No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. 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.

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 RecruitingAccommodation@capitalone.com. 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 Careers@capitalone.com

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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).