Sr. Data Engineer
Mclean, VA

Job Description

McLean 2 (19052), United States of America, McLean, 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.

Sr. Data Engineer

As a Capital One Data Engineer, you'll work on everything from customer-facing web apps and backend services to mobile applications using cutting-edge tools and frameworks. Join Capital One in an engineering role and shape the next phase of innovation for fintech.

Are you a hands-on problem solver who seeks to understand a domain and solve its complex engineering or data challenges? Do you want to be empowered to influence the technology choices to get the job done? Are you the disruptor that pushes the envelope through innovation and new ideas, questioning the why and considering the what if?

We want to speak with you. Check out the roles, responsibilities and apply today!

Responsibilities:

* Write, design, code, test, implement, debug, and validate applications; document design decisions and develop modular software components; monitor system performance metrics, and identify potential risks/issues.


* Building efficient storage for structured and unstructured data


* Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink, Nifi, Storm and Kafka on AWS Cloud


* Collaborate in agile scrum team with product owners and fellow software engineers to deliver upon most important business and technical priorities.


* Provide active mentorship/guidance to fellow members of the agile tech team and participate in internal and external technology conference & communities.


* Coordinate and scale the evolving cloud based solutions with product development teams both internal and external to Capital One.



What would you expect to work on here: Object-Oriented Languages (Java and Go), Cloud-Based Technologies (AWS, DevOps and Serverless), Front End Framework, Cutting Edge Data Tools (Python, Spark) and Machine learning models.

As we modernize the existing customer case management system, you will have the opportunity to contribute to the design and development of our target case management platform.

Basic Qualifications:

* Bachelor's Degree or military experience
* At least 3 years of work experience in data warehousing and analytics
* At least 3 years of ETL design, development and implementation experience

Preferred Qualifications:

* At least 2+ years of Python development experience
* At least 2+ years of experience with the Hadoop Stack
* At least 2+ years of experience with Cloud computing (AWS)
* At least 2+ years Java development experience
* At least 4+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)

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