7900 Westpark Drive (12131), United States of America, Tysons, 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
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.
Sr. Data Engineering- ML Manager As a Sr. Manager of Data Engineering with a focus on Machine Learning at Capital One, you'll be leading a group that's part of driving the next wave of innovations in using data to identify and fight financial crimes. You will be working on data at a whole new scale, engineering for cloud, and using the latest in distributed computing technologies across millions of customers and billions transactions.
We do machine learning product development differently at Capital One. ML scientists aren't siloed in the lab, but instead partner closely with Software Engineers, Product Managers, and business stakeholders, to discover, invent, and build at the largest scale. You'll be leading the engineering aspects of these engagements, which will require a solid engineering background with a passion for machine learning. We apply cutting edge and novel approaches to build state of the art solutions and engineer them for cloud with the latest DevOps techniques.
We are looking for a passionate technologist with a knack for delivery and good people management skills to lead some of our world-class engineering talent. The products we are building are putting Capital One on the leading edge of how financial institutions prevent criminals such as terrorists and drug dealers from laundering money.
The Ideal Candidate will be:
-Technical. You are independent and can develop your own solutions but also have a passion for mentoring your team and ensuring good design. You have hands-on experience with data engineering and machine learning solutions, from concept to production, and the ability to select the right tool for the job at hand. You understand modern cloud computing. Large datasets and engineering challenges do not frighten you, they present a challenge you are eager to take on.
-Leader. You are an effective mentor and leader who is able to guide a team through a cohesive development and execution strategy towards a unified business outcome. You challenge conventional thinking and traditional ways of operating and you work with stakeholders to identify and improve the status quo.
-Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art ML methods, technologies, and applications. You ask why, explore and openly share your disruptive ideas.
-Business-Minded. You can analyze customer needs and drive towards impactful business outcomes.
Develop batch data processing applications from the ground up using a modern technology stack such as Spark, Hbase, Gremlin and Elasticsearch
Transform complex analytical models into scalable, big data solutions and deploy on AWS
Work directly with Product Owners and end-users to constantly deliver data-driven products in a highly collaborative and agile environment
Maintain a strategic vision for what, when and how your teams will create next generation data capabilities to make the Product Owner's dreams a reality
Help grow and mentor team members on the fine art of data engineering and datastore evaluation
Be an evangelist at hackathons and other external events for the FinTech industry
Bachelors Degree or military experience
At least 5 years of experience delivering big data solutions within an agile delivery environment
At least 5 years of experience directly managing a team of engineering resources
At least 3 years of experience in an object oriented or functional languages
At least 3 years of experience with open source programming languages such as Spark, Scala or Python
At least 1 year experience working with AWS, Azure, or similar cloud platform
At least 1 year experience working in machine learning
2 years of experience implementing Graph database solutions
2 years of experience working with Ontologies
2 years of experience working with automated build and continuous integration systems such as Ansible, Chef or Puppet, and Jenkins
Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.
All qualified applicants will receive consideration for employment without regard to gender, race, color, religion, national origin, sexual orientation, protected veteran status, or disability status.
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; Newark, New Jersey Ordinance 12-1630; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.