Manager, Data Engineering

Company: Capital One
Location: Manchester
Posted on: May 9, 2022

Job Description:

West Creek 6 (12076), United States of America, Richmond, VirginiaManager, Data EngineeringAt 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. - -As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. You'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. - We are seeking Data Engineers who are passionate about marrying data with emerging technologies.What You'll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support data modeling solutions to enable data streaming while contributing to Enterprise tools and solutions.
• Work with a team of full stack developers with deep experience in application development, - machine learning, distributed microservices, and full stack systems
• Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
• Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
• Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
• Perform unit tests and conduct reviews with other team members to make sure your artifact is rigorously designed, elegantly created, and effectively tuned for performance
• Identifying and implementing process, data, and reporting improvements for the organization
• Working with large and complex databases containing millions to billions of records
• Improving operational efficiencies and effectiveness
• Conducting analysis to evaluate processes and tests
• Extracting and analyzing data to gauge product offerings
• Consulting on the design and implementation of new production and data storage systems
• Developing and implementing strategic tests of products, initiatives and marketing materialsCapital One is open to hiring a Remote Employee for this opportunity.Basic Qualifications:
  • Bachelor's Degree
  • At least 6 years of experience in application development (Internship experience does not apply)
  • At least 2 years of experience in big data technologies
  • At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) -Preferred Qualifications:
    • 4+ years of experience in database modeling and database management
    • 4+ year experience working on real-time data and streaming applications
    • 4+ years of experience with data reporting tools - (Tableau, AWS QuickSight)
    • 4+ years of data warehousing experience (Redshift, Snowflake)
    • 4+ years of experience with UNIX/Linux including basic commands and shell scripting
    • 2+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, or MySQL)
    • 2+ years of experience in professional data analysis work experience
    • 2+ years of experience in application development - including Python, SQL, or Java
    • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
    • 2+ years of experience with Agile engineering practices -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 . 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 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).

Keywords: Capital One, Manchester , Manager, Data Engineering, Engineering , Manchester, New Hampshire