Cambridge, MA

Master Data Engineer (Spark, AWS, Scala)

1 Broadway (21026), United States of America, Cambridge, Massachusetts
At Capital One, were 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.

Master Data Engineer (Spark, AWS, Scala)Do you want to re-imagine how we manage risk and build great products that users love? This may be the place for you, if:

Youre passionate about engineering and obsess about code quality, performance, and CI/CD

You like to work with modern architecture and latest open source technologies: Microservices, Docker, AngularJS, Node.js, Java, Python, Kafka, Spark, and many many more

You take an interest in infrastructure resiliency and how your code actually works at runtime: OS, network, and AWS cloud

You thrive in a continuously learning and collaborative environment by reviewing others code and asking them to do the same for you.

You participate in forums, hackathons, meetups, and conferences

You own your work by building systems to succeed in production, and you fix them when they dont

By joining our Risk and Governance team, you will:

Build microservices to fully automate and integrate the full lifecycle of issues & events management into our real-time, event-based data ecosystem in the public cloud

Build platforms and machine learning-driven capabilities to support investigations of AML and other financial crimes

Develop governance capabilities for the company's advanced analytic environments where data scientists rapidly build and deploy models & algorithms

Basic Qualifications:

* Bachelor's Degree or military experience
* At least 8 years experience in Python, Scala, or Java
* At least 5 years of experience building data pipelines
* At least 3 years of experience building CICD pipelines
* At least 1 year of experience with Spark
* At least 1 year of experience working in AWS

Preferred Qualifications:

* Master's Degree
* 10+ years experience in software development
* 3+ years experience with AWS
* Experience with data modeling and visualization
* Experience working with Machine Learning and Data Science teams
* Experience mentoring junior team members

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.
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