Manager, Data Engineering-Tech CollegeApply now Job ID R69643 Updated date 03/18/2019 Location Richmond, Virginia; Vienna, 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.
As a member of the Data, Machine Learning, and Artificial Intelligence discipline of Capital One’s Tech
College, you’ll be part of a team responsible for curating, designing, developing, and delivering highly
engaging learning experiences that will fuel our growth as a tech company and help our associates
develop cutting-edge skills in data engineering, machine learning, and artificial intelligence. We’ll also
expect you to keep up with the latest and greatest data engineering and machine learning tools and
capabilities so that you can lead our associates’ learning.
Tech College is a bold investment in developing our associates and leaders, recruiting top technical
talent, and continuing to differentiate ourselves in the market. Tech College aims to transform our
approach to enabling our associates and leaders with the technical skills they need to be successful in
current and future roles.
On any given day you might be:
Using Big Data tools (Hadoop, Spark, Kafka, H2O, AWS) to conduct the analysis of millions or
billions of records, in order to find out what works and what doesn’t
Creating or curating educational content to help your Capital One peers stay on top of the latest
data engineering and machine learning tools and techniques
Teaching classes or holding office hours in support of others’ learning
Writing software to clean and investigate large, messy data sets of numerical and textual data
Integrating with external data sources and APIs to discover interesting trends
Building machine learning models from development through testing and validation to empower
Designing rich data visualizations to communicate complex ideas to customers or company
Identifying new technologies and trends that should become part of our curriculum
Partnering with line-of-business advisors, Tech College leadership, and other stakeholder groups
to identify technical and functional needs for designing and delivering cutting-edge Tech College
Partnering peers within Tech College to develop experiences that deliver maximum learner
engagement and educational impact
The Ideal Candidate will be:
Curious. You ask why, you explore, and you are not afraid to blurt out your disruptive idea. You
probably know Python, Scala, Java, and R and you’re constantly exploring new open source
Communicative. You’ll be sharing what you know with others in the form of papers, on-line
classes, blog posts, and in-person classes.
Wrangler. You know how to programmatically extract data from a database and an API, bring it
through a transformation or two, and model it into human-readable form (ROC curve, map, d3
Creative. Big, undefined problems and petabytes of data don't frighten you. You’re used to
working with abstract data, and you love discovering new narratives in unmined territories.
Bachelor’s Degree or military experience
At least 5 years of professional experience developing software
At least 2 years of experience with version control systems
At least 2 years of experience with Unix or Linux systems
At least 3 years of experience with Python, Java, Scala, or similar high-level language
Experience 1 year working with public or private cloud infrastructure
Experience with Spark or Kafka
Experience in scripting languages (bash, perl, or ruby)
Experience building systems leveraging a streaming architecture
Experience working with Docker
Experience with Ansible / Terraform
Experience working with CICD pipeline (CircleCI, Jenkins, or equivalent)
Experience in publish/subscribe queuing systems (kafka, MQ-Series, SQS, or equivalent)
Experience with Micro services architecture (design and implementation)
Excellent written and oral communication
Open source contribution
At this time, Capital One will not sponsor a new applicant for employment authorization for this
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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).