Sr. Dir, Data Engineering at Capital One (Washington DC)
As a Capital One Senior Director of Data Engineering, you'll work on building the Marketing technology stack that serves our Card and small business customers. In this role you will be responsible for managing current and building out new solutions to create intelligent consumer experiences for new prospects and existing customers, using cutting-edge open source frameworks, to highly-available RESTful microservices, to back-end Java based systems using the hottest techniques in Big Data.
You'll bring solid experience in emerging and traditional technologies such as: node.js, Java, GO, AngularJS, React, Python, REST, JSON, XML, Ruby, Perl, NoSQL databases, relational databases, Hadoop, Chef, Maven, iOS, Android, and AWS/Cloud Infrastructure to name a few.
Lead, manage and grow multiple teams of data engineers
Mentor and guide the professional and technical development of engineers on your team.
Work with product owners to understand desired application capabilities and testing scenarios
Continuously improve engineering practices
Work within and across Agile teams to design, develop, test, implement, and support technical solutions across a full-stack of development tools and technologies
Lead the craftsmanship, availability, resilience, and scalability of your solutions
Bring a passion to stay on top of tech trends, experiment with and learn new technologies, participate in internal & external technology communities, and mentor other members of the engineering community
Encourage innovation, implementation of cutting-edge technologies, inclusion, outside-of-the-box thinking, teamwork, self-organization, and diversity
Work across to improve the velocity of your and other teams
At least 10 years experience in data management, data warehousing, or unstructured data environments
At least 7 years of experience in people management
10+ years of experience in people management
7+ years of experience dealing with complex data analytics and reporting
8+ years of experience with Agile engineering practices
7+ years of experience developing enterprise data solutions to solve complex business problems
5+ years of experience with end-to-end design and build process of Near-Real Time and Batch Data Pipelines
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.
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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).