Richmond, Virginia, United States
Key technologies and capabilities for this role
Common questions about this position
Yes, this is a remote position as indicated by the job title.
The basic qualifications include a Bachelor’s Degree, at least 7 years of experience in data engineering, and at least 5 years of experience in data architecture.
Preferred skills include 7+ years using Python, Java, Go, and SQL; 3+ years with Kafka, Airflow, Spark, AWS Glue/Kinesis; 3+ years with Databricks or Snowflake; and 1+ year deploying machine learning.
The team consists of innovative product, tech, and design leaders who question the status quo, promote engineering excellence, foster an inclusive environment, and focus on mentoring and recruiting top talent.
A strong candidate will have a Bachelor’s or Master’s Degree, 7+ years in data engineering and 5+ in data architecture, plus preferred expertise in Python, Java, Go, SQL, Kafka, Airflow, Spark, AWS services, Databricks/Snowflake, and machine learning deployment.
Offers diverse financial products and services
Capital One provides a variety of financial services aimed at making banking accessible and easy for everyone. The company offers products such as credit cards, savings accounts, car loans, and business checking accounts, catering to both individual consumers and small businesses primarily in the United States. Capital One's approach includes user-friendly banking solutions with no fees or minimums for checking accounts, allowing customers to manage their finances more effectively. They generate revenue through interest on loans, credit card fees, and investment banking services. What sets Capital One apart from its competitors is its strong commitment to financial inclusion and literacy, demonstrated through community partnerships and educational initiatives, such as collaborations with Khan Academy. The company's goal is to create a more inclusive financial system and empower customers with the knowledge and tools they need to make informed financial decisions.