Capital One
Data Engineer 5 (Senior Manager, IC)-Risk Tech
$209K–$262K
McLean, VA +1 · Manager · Full-time · Posted Sep 24, 2026
- Location
- McLean, VA
Richmond, VA - Experience
- At least 6 years in application development; at least 4 years in distributed data, SQL, a listed programming language, and data pipelines; at least 2 years in data modeling and end-to-end data solutions. Preferred experience ranges from 3+ to 9+ years, depending on area.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; preferred Master's Degree in Computer Science or a related field.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads end-to-end design and delivery of scalable cloud data platforms and pipelines for risk management, including AI-powered solutions, while shaping architecture and mentoring engineers.
What you'll do
- Design, build, and operate scalable, resilient cloud data pipelines and platforms; lead major data initiatives and architectural decisions.
- Set and enforce data engineering patterns, and communicate technical concepts and outcomes to stakeholders.
- Provide hands-on technical leadership and mentor engineers, analysts, and data scientists.
What they ask for
- Bachelor's degree or higher in Computer Science or a related quantitative field.
- At least 6 years of application development experience; internship experience does not apply.
- At least 4 years of experience in distributed data, SQL, programming with Python, Java, or Scala, and designing and developing data pipelines.
- At least 2 years designing data models and end-to-end data solutions with relational and non-relational databases.
Nice to have
- Master’s degree in Computer Science or a related field.
- Experience with public cloud, distributed data tools, streaming pipelines, data observability or orchestration, NoSQL, data warehousing, Agile, or reusable data products.
Pay
McLean, VA: $229,900 - $262,400 USD base salary; Richmond, VA: $209,000 - $238,500 USD base salary
Tools
Python, Spark, SQL, Java, Scala, Databricks, Snowflake, AWS
AI focus
Build and deploy proprietary risk-management solutions powered by AI; work with teams experienced in machine learning.
Model-written summary · the original posting is authoritative