Data Science DevOps

Job Title
Data Science DevOps

Job Description

Tired, depressed, and feeling like your data’s not big enough? We can help. Capital One – a top 10 US bank that is on a mission to use technology to bring ingenuity, simplicity, and humanity to banking – needs data engineers to power its big-data transformation. In this role, you’ll use your experience with enterprise data platforms and big data technologies to work side-by-side with product owners and other agile team members building our next generation of analytic capabilities.

Capital One is a diversified bank that offers a broad array of financial products and services to consumers, small business and commercial clients. Ranked #127 on the Fortune 500, Capital One has one of the most widely recognized brands in America. As one of the nation’s top 10 banks, we offer a broad spectrum of financial products and services to consumers, small businesses and commercial clients. We nurture a work environment where people with a variety of thoughts, ideas and backgrounds, guided by our shared Values, come together to make Capital One a great company and a great place to work.

At Capital One, data is at the center of everything we do. When we launched as a startup we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

Twenty-five years after Capital One was started it’s still led by its founder, and we have a mission to change banking for *good*. Be ready to join a community of the smartest folks you’ve ever met, who see the customer first, and want to use their data skills to make a difference.

The Job:
• Building efficient storage protocols for unstructured data, and data warehousing solutions for structured analytics
• Collaborating with other agile team members to create / enhance new data management applications and tools
• Using MapReduce frameworks such as Hadoop and Hive
• Determining your level of effort to develop code
• Writing/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
• Maintaining records of revisions to ensure code is understandable, simple, and clean
• Working in and maintaining an automated build / continuous integration environment
• Providing support of previously released code as needed

Your interests:
• You geek out over obscure sports statistics. You track the last time your favorite band played a certain song. Nate Silver asks you who’s going to win the next election. You love data
• You get excited about using large data sets, some of them slightly messy, to answer real-world questions
• You enjoy being on cutting edge, high profile projects and are motivated by delivering solutions on an aggressive schedule
• You care about finding refined solutions to complex coding challenges and helping the entire team meet its commitments
• You enjoy learning new technologies and mentoring more junior developers
• Humor and fun are a part of your natural flow
Qualifications
Your experience/the Basic Qualifications:
• BS in Computer Science with 3+ years professional experience
• 3+ year in-depth experience with the Hadoop stack (MapReduce, Pig, Hive, Hbase)
• 3+ years experience with NoSQL implementation (Cassandra preferred)
• 3+ years experience in at least one scripting language (Python, Perl, Java, Shell)
• 3+ years experience with Relational Data Base Systems and SQL
• 5+ years experience designing, developing, and implementing ETL
• 4+ years experience with UNIX/Linux including basic commands, shell scripting, and system administration/configuration

Preferred Experience:
• Experience working with automated build and continuous integration systems (Maven, Jenkins)
• Experience with test-driven development and unit testing frameworks (xUnit, jUnit, Nose)
• Experience with data mining, machine learning, statistical modeling tools or underlying algorithms
• Experience working independently in a fast paced, unstructured environment
• Robust portfolio of shipped code on GitHub and/or open source contributions
• 2+ years experience directly managing full-time employees



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

No agencies please.

Capital One is an equal opportunity employer committed to diversity in the workplace. Capital One promotes a drug-free workplace.

All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, protected veteran status, or disability status.

Desired Skills and Expertise
Bachelor's Degree

Industry
Banking/Mortgage

Experience
2 - 5 years

Job Type
Full Time

Salary / package
Not Specified

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