Distinguished Data Engineer - Director (Havre De Grace,MD) Engineering - Havre De Grace, MD at Geebo

Distinguished Data Engineer - Director (Havre De Grace,MD)

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.
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Estimated Salary: $20 to $28 per hour based on qualifications.

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