Capital One
Integration Engineer 4 - Payment Network Partner Experience
$150K–$188K
McLean, VA +2 · Full-time · Posted Sep 24, 2026
- Location
- McLean, VA
Richmond, VA
Riverwoods, IL - Experience
- At least 4 years designing and maintaining cross-platform or cloud integrations; at least 3 years automating system configuration or data workflows. Preferred experience includes 5+ years in cloud environments, 3+ years developing or supporting API-based integrations, 5+ years with deployment tooling, 4+ years in Agile practices, and 5+ years implementing large-scale cloud integration solutions or data pipelines.
- Education
- Bachelor's Degree
- Visa sponsorship
- Capital One will not sponsor a new applicant for employment authorization or offer immigration-related support for this position.
About the job
Leads the design, delivery, and operation of enterprise integrations and partner-facing technology for Capital One’s global payment network.
What you'll do
- Design and implement scalable integrations across enterprise applications, cloud services, systems, and data sources.
- Set integration standards and lead technical collaboration across software, data, and infrastructure teams.
- Deliver and support full-stack solutions, improving resilience, availability, and engineering practices.
What they ask for
- Bachelor's Degree
- At least 4 years of experience designing and maintaining cross-platform or cloud integrations
- At least 3 years of experience automating system configuration or data workflows
Nice to have
- 5+ years of experience working in a cloud-based environment (AWS, Azure, GCP)
- 3+ years of experience developing or supporting API-based integrations using scripting or orchestration tools (AWS Lambda, Step Functions, MuleSoft)
Pay
$164,800 - $188,100 USD base salary (McLean, VA); $149,800 - $171,000 USD base salary (Richmond, VA); $149,800 - $171,000 USD base salary (Riverwoods, IL)
Tools
Salesforce CRM, Google Cloud services (GCP), AWS, Azure, AWS Lambda, Step Functions, MuleSoft, Jenkins
AI focus
Opportunity to use AI-native and agentic engineering solutions; scope includes AI-assisted contract insights and automated workflows.
Model-written summary · the original posting is authoritative