Distinguished Data Engineer-Director-R103973

Capital One
Published
January 19, 2021
Location
Vienna, VA
Job Type
Page Views
28

Description

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.

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