Data Engineer - Machine Learning (Python/Spark/AWS) - Card TechApply now Job ID R82862 Updated date 12/23/2019 Location 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.
As a Capital One Data Engineer, you'll be part of a team that’s building new analytical and machine learning tools and frameworks to exploit advantages in the latest developments in cloud computing - EMR, Airflow, SageMaker, etc. You will participate in detailed technical design, development and implementation of applications used by our data scientists and business analysts to build and launch models, analyze data, and make million dollar decisions. We work closely with our users and are looking for people who are excited to iterate quickly on solutions and see the impact in days, not months.
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.
Collaborating as part of a cross-functional Agile team to create and enhance software that enables state of the art data science, machine learning, and data analysis
Developing and deploying machine learning pipelines using cutting edge tools like Airflow, Dask, and Scikit-Learn
Developing frameworks to accelerate the model development lifecycle
Utilizing programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake
Leveraging DevOps techniques and practices like Continuous Integration, Continuous Deployment and Test Automation to enable the rapid delivery of working code utilizing tools like Jenkins, Terraform, 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
Bachelor’s Degree or Military Experience
At least 2 years of professional work experience as a software or data engineer in an agile environment
At least 2 years of experience in open source programming languages
At least 1 year of experience working with cloud capabilities
Master's Degree or PhD
4+ years of experience in Python, Scala, or R for large scale data analysis
4+ years' experience with Relational Database Systems and SQL (PostgreSQL or Redshift)
4+ years of UNIX/Linux experience
2+ years of experience with Cloud computing (AWS)
2+ years of data modeling experience
1+ years of experience with Spark
1+ years of experience in developing high volume transaction processing solutions that can be scaled for millions of daily transactions
At this time, Capital One will not sponsor a new applicant for employment authorization for this position.No agencies please. Capital One is an Equal Opportunity Employer committed to diversity and inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to sex, race, color, age, national origin, religion, physical and mental disability, genetic information, marital status, sexual orientation, gender identity/assignment, citizenship, pregnancy or maternity, protected veteran status, or any other status prohibited by applicable national, federal, state or local law. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com
Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.
Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).