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Data Intelligence Platform Engineer

Capital One


Location:
Vienna, VA
Date:
05/25/2017
Job Code:
capitalone2-R23954
Categories:
  • Engineering
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Job Details

Company Capital One

Job Title: Data Intelligence Platform Engineer

JobID: capitalone2-R23954

Location: Vienna, VA, 22180, USA

Description: Towers Crescent (12066), United States of America, 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.



Data Intelligence Platform Engineer



The Data Intelligence Platform Engineering team is on a journey to change the way Capital One builds data engineering and data science products. Our PaaS solution enables Capital One to quickly get started with envisioning, creating, deploying, and maintaining production quality data applications that scale. Our tools include streaming big data pipeline, state of the art machine learning, micro-services architecture, and beautiful visualizations in the cloud. Our team is highly technical with strong backgrounds in what we do.



As a senior member on the team, you will drive the design, implementation, testing, deployment, and post-release production support in an agile DevOps environment. You will execute on engineering and release priorities successfully through strong leadership and communication. Whether a bug fix, performance tuning, or an awesome feature, you will own your work and deliver the most elegant and scalable solutions.



**Any given day you will:**



+ Design and implement end-to-end engineering solutions for business opportunities.

+ Tenaciously keep the big data platform operational.

+ Stand up and configure AWS environment.

+ Develop foundation for laying out non-functional qualities in the platform including resiliency, scalability, security, and lineage.

+ Build tools that enable the team to scale, such as self-service console and monitoring.

+ Install, deploy, and manage tools built by us and the open source community.

+ Proactively monitor environments and drive troubleshooting and tuning.

+ Identify technical obstacles early and work closely with the team to find creative solutions.



**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 relishes 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 or open source contributions you are proud to share.

+ Passion for automation of everything to release fast, frequently, and reliably.



**Basic Qualifications:**



+ Bachelor’s Degree or Military Experience

+ At least 5 years of experience in system administration, DevOps, or software engineering

+ At least 2 years of hands on experience deploying and managing AWS platforms and cloud native applications

+ At least 2 years of experience with automation tools, Ansible or Chef

+ At least 2 years of experience working with code repositories and build tools (Git or Nexus or Jenkins)

+ At least 1 year of experience in designing, deploying, and administrating enterprise class big data clusters (Kafka, NiFi, Storm, Spark, HDFS)

+ At least 2 years of experience in programming with one of the languages (Python or Java)



**Preferred Qualifications:**



+ Bachelor’s degree in Computer Science

+ 1+ year of experience with containers and resource managers

+ 3+ years of experience programming in Java or another JVM based language

+ 2+ years of experience with database and other persistence storage administration (Postgres, Elasticsearch, Cassandra, Redis, S3, HDFS)



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



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.                                               


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