Capital One Data Engineer 

United States, Virginia, Arlington 

629962836

What You’ll Do

• Support the design and development of scalable data architectures and systems that extract, store, and process large amounts of data

• Build and optimize data pipelines for efficient data ingestion, transformation, and loading from various sources while ensuring data quality and integrity

• 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 to develop modern data pipelines supporting Machine Learning and Artificial Intelligence

Basic Qualifications:

• Bachelor’s Degree

• At least 2 years of experience in application development (Internship experience does not apply)

• At least 1 year of experience in big data technologies

Preferred Qualifications:

• 3+ years of experience in application development including Python, Scala, or Java

• 1+ years of experience using Spark

• 1+ years of experience working on data stream systems (Kafka or Kinesis)

• 1+ years of data warehousing experience (Redshift or Snowflake)

• 1+ years of experience with Agile engineering practices

• 1+ years of experience working with a public cloud (AWS, Microsoft Azure, Google Cloud)

. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

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.