Capital One
Data Engineer 4 (Risk Tech)
$179K–$225K
McLean, VA +1 · Full-time · Posted Sep 21, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 4 years in application development; 2 years each in distributed data, SQL, one programming language, and data pipeline design and development; 1 year in data modeling and end-to-end data solutions. Preferred experience ranges from 2+ to 7+ years, depending on area.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field.
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support for this position.
About the job
Build and operate scalable cloud data pipelines and platforms, including AI-powered risk management solutions, while guiding data engineering practices and collaborating across teams.
What you'll do
- Design, build, test, deploy, and support cloud data solutions, pipelines, and applications.
- Establish data engineering patterns and implement scalable, resilient, secure data platforms.
- Collaborate with Agile teams and stakeholders, communicate technical outcomes, and mentor data community members.
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 database systems.
Nice to have
- Experience with public cloud, distributed data workloads, streaming pipelines, data observability or orchestration, and data warehousing.
- Experience with vector search, LLM context retrieval, or preparing unstructured data for Generative AI workflows.
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 proprietary risk management solutions powered by AI; preferred work includes vector embeddings and search, LLM context retrieval, and preparing unstructured data for Generative AI workflows.
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