Senior Data Engineer

Towers Crescent (12066), United States of America, Vienna, Virginia

Senior Data Engineer

We may be a bank, but we think and operate like a tech company. A tech company that writes its own code, develops its own software, and builds its own products. A tech company that experiments and innovates with the latest technologies, engineers breakthrough customer experiences, and brings simplicity and humanity to banking.

We began life in 1988 by harnessing the power of big data to create customized products that disrupted the credit card industry.  Now we are doubling down on that big data strategy, and we are looking for great data engineers to join us.

As a Capital One Data Engineer, you'll be part of an Agile or platform team dedicated to breaking the norm and pushing the limits of continuous improvement and innovation. You will participate in detailed technical design, development and implementation of applications using existing and emerging technology platforms. Working within an Agile environment, you will provide input into architectural design decisions, develop code to meet story acceptance criteria, and ensure that the applications we build are always available to our customers. You'll have the opportunity to mentor other engineers and develop your technical knowledge and skills to keep your mind and our business on the cutting edge of technology.  At Capital One, we have seas of big data and rivers of fast data.

The Job:

-Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art, next generation Big Data & Fast Data applications

-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, Storm, Akka and Kafka on AWS Cloud

- Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases like PostgreSQL Redshift

-Utilizing Hadoop modules such as YARN & MapReduce, and related Apache projects such as Hive, Hbase, Pig, and Cassandra

-Developing data-enabling software utilizing open source frameworks or projects such as Spring, Angular JS, SOLR, Drools, etc.

-Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment, Test Automation, Build Automation and Test Driven Development to enable the rapid delivery of working code utilizing tools like Jenkins, Maven, Nexus, Chef, Teraform, Ruby, Git and Docker 

-Performing unit tests and conducting reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance

Basic Qualifications:

- Bachelor’s Degree or military experience

- At least 3 years of professional work experience coding in data management

Preferred Qualifications:

 -Master's Degree

-Experience with recognized industry patterns, methodologies, and techniques

-Familiarity with Agile engineering practices

-2+ years of experience with the Hadoop Stack

-2+ years of Distributed Computing frameworks experience

-2+ years of experience with Cloud computing (AWS a plus)

-2+ years of NoSQL implementation experience

-4+ years Java development experience

-4+ years of scripting experience

-4+ years' experience with Relational Database Systems and SQL (PostgreSQL and Redshift a plus)

-4+ years of ETL design, development and implementation experience

-4+ years of UNIX/Linux experience

Who you are:

- You yearn to be part of cutting edge, high profile projects and are motivated by delivering world-class solutions on an aggressive schedule

- Someone who is not intimidated by challenges; thrives even under pressure; is passionate about their craft; and hyper focused on delivering exceptional results

- You love to learn new technologies and mentor junior engineers to raise the bar on your team

- It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share

- Passionate about intuitive and engaging user interfaces, as well as new/emerging concepts and techniques.

What we have:

- Flexible work schedules

- Convenient office locations

- Generous salary and merit-based pay incentives

- A startup mindset with the wallet of a top 10 bank

- Monthly innovation challenges dedicated to test driving cutting edge technologies

- Your choice of equipment (MacBook/PC, iPhone/Android Device)

#ilovedata #bigdata

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

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