Principal Associate, Data Engineer: Enterprise Data and Machine Learning

Company: Capital One
Location: Richmond
Posted on: March 19, 2023

Job Description:

Center 3 (19075), United States of America, McLean, Virginia Principal Associate, Data Engineer: Enterprise Data and Machine Learning Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At 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. As a Capital One Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Team Info: Join a new team we're creating that has the opportunity to build out entire suites of applications from scratch using a variety of cutting edge tools. Our team builds innovative experiences and solutions that improve the employee experience at Capital One in order to, in turn, provide better value to our customers. We do this by overseeing a well-managed and strategically bold innovation pipeline within our Enterprise Data and Machine Learning (EDML) line of business, as well as facilitating an open framework for that empowers all our associates to take part. We ideate and explore boundaries, and we aren't afraid to fail as long as we fail fast. We are always tinkering, learning, and growing. What You'll Do:

• Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
• Work with a team of developers with deep experience in 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 code is rigorously designed, elegantly coded, and effectively tuned for performance Basic Qualifications: -
  • Bachelor's Degree -
  • At least 4 years of experience in application development (Internship experience does not apply)
  • At least 1 year of experience in big data technologies - Preferred Qualifications: -
    • 5+ years of experience in application development including Python, SQL, Scala, or Java
    • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
    • 3+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
    • 2+ year experience working on real-time data and streaming applications -
    • 2+ years of experience with NoSQL implementation (Mongo, Cassandra) -
    • 2+ years of data warehousing experience (Redshift or Snowflake) -
    • 3+ years of experience with UNIX/Linux including basic commands and shell scripting
    • 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. Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the -Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level. 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).

Keywords: Capital One, Richmond , Principal Associate, Data Engineer: Enterprise Data and Machine Learning, Other , Richmond, Virginia