Senior Manager- Data Engineering, Data Quality
Location:
Vienna , Virginia
Posted:
September 17, 2016
Reference:
R11014
Towers Crescent (12066), United States of America, Vienna, Virginia

Senior Manager- Data Engineering, Data Quality

Are you passionate about building solutions to assess, measure, and improve data quality in enterprise IT? Do you enjoy solving complex problems with open source technologies in a fast-paced, collaborative, and iterative delivery environment?  In this role, you will be responsible for leading the development and implementation of cutting-edge data quality solutions from the ground up for our emergent data platforms across both on-premise and in the Cloud.

The right candidate is someone who is passionate about data-driven technologies and understands the full technology stack involved in building data-driven products (back end data, APIs, and UI/UX). We're looking for someone who welcomes challenges and is hyper-focused on delivering exceptional results to internal business customers while creating a rewarding team environment.

On any given day you will:

- Architect and develop integrated data quality applications from the ground up using a modern technology stack such Spark, Scala, Elastic Search, Angular JS, Kibana, Kafka, NiFi

- Define, establish, and execute against strategic delivery roadmaps, actively managing technology risks, issues and impediments

- Work directly with Product Owners and end-users to develop data quality solutions in a highly collaborative and agile environment

- Help grow and mentor team members on the fine art of software engineering, data quality, and product evaluation

- Be an evangelist at hackathons and other external events for the FinTech industry

Who You Are:

- Curious. You ask why, you explore, you're not afraid of challenging the status quo

- Passionate. You care about growing others and bringing them together around what's possible. You've started Meetup groups or taught courses because you love enabling others

- Communicator. You can communicate complex ideas clearly to both technical and non-technical audiences, your team knows their priorities and so does your manager

- Leader. You create high performing teams everywhere you go, with a focus on enabling an inclusive, creative, nurturing, and fun team environment

- Do-er. You have a bias toward action, you try things, and sometimes you fail

- Fearless. Big, undefined problems don't frighten you

#ilovedata

Basic Qualifications:
- Bachelor's 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 resource
- At least 3 years of experience in an object oriented or functional languages
- At least 3 years of experience with Unix/Linux systems with scripting experience in Shell, Perl or Python

Preferred Qualifications:
- 4+ years of experience working with frameworks such as Spark, Hadoop, Hbase
- 2+ years of experience implementing ELK stack
- 2+ years of experience working with Cloud platforms and AWS services
- 2+ years of experience working with automated build and continuous integration systems such as Ansible, Chef or Puppet, and Jenkins
- Desire to learn new skills / drive innovation on a cutting-edge product team

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

A little about us:
Headquartered in McLean, Virginia, Capital One® offers a broad array of financial products and services to consumers.

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