Capital One
Data Engineer 4
$179K–$225K
McLean, VA +1 · Full-time · Posted Sep 22, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years in application development; at least 2 years each in distributed data, SQL, a programming language (Python, Java, or Scala), and data pipeline design and development; at least 1 year in data modeling and end-to-end data solutions.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering).
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Build and operate scalable cloud data pipelines and platforms, and develop AI-powered risk-management solutions with the GRC team and company partners.
What you'll do
- Design, build, test, implement, and support data solutions and pipelines, emphasizing scalability, resilience, security, and operational efficiency.
- Architect and enforce reusable data-engineering patterns; collaborate with Agile teams, product managers, engineers, analysts, and data scientists.
- Communicate technical concepts and data outcomes to stakeholders, and mentor members of the data community.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 4 years of application development experience; internship experience does not apply.
- At least 2 years of experience in distributed data, SQL, one of Python, Java, or Scala, and data pipeline design and development.
- At least 1 year of experience in data modeling and end-to-end data solutions using relational and non-relational databases.
Nice to have
- Experience with public cloud environments, distributed or compute workloads, streaming pipelines, data observability or orchestration, NoSQL databases, and data warehousing.
- Experience in Agile development and developing reusable, user-centric data products.
Pay
$197,300 - $225,100 USD base salary (McLean, VA); $179,400 - $204,700 USD base salary (Richmond, VA)
Tools
Python, Spark, SQL, Java, Scala, Databricks, Snowflake, AWS
AI focus
Build and deploy proprietary AI-powered risk-management solutions; the team also develops machine-learning tools to prevent risks and automatically detect issues.
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