Senior Data Engineer (Python, Spark, AWS)

Company: Capital One
Location: Harrisonburg
Posted on: September 30, 2024

Job Description:

Locations: VA - McLean, United States of America, McLean, VirginiaSenior Data Engineer (Python, Spark, AWS)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 a Senior Data Engineer who is passionate about marrying data with emerging technologies. As a Capital One Senior Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.What You'll Do

• Build and optimize data pipelines for efficient data ingestion, transformation, and loading from various sources while ensuring data quality and integrity -
• Support the design and development of scalable data architectures and systems that extract, store, and process large amounts of data
• Collaborate with Data Scientists, Machine Learning Engineers, Business Analysts and/or Product Owners to understand their requirements and provide efficient solutions for data exploration, analysis, and modeling
• Implement testing, validation and pipeline observability to ensure data pipelines are meeting customer SLAs -
• -Use cutting edge technologies such as Python, Scala, Spark, and a variety of AWS services to develop modern data pipelines supporting Machine Learning and Artificial Intelligence -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 building data pipelines using Python, Java, or Scala
    • 2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
    • 2+ years of experience using Spark or PySpark
    • 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 -. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.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 (including pregnancy, childbirth or related medical conditions), race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity, gender reassignment, citizenship, immigration status, protected veteran status, or any other basis prohibited under applicable 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, Harrisonburg , Senior Data Engineer (Python, Spark, AWS), IT / Software / Systems , Harrisonburg, Virginia