Capital One
Staff Engineer -Developer Insights & AI Telemetry
$245K–$335K
New York, NY +4 · Staff · Full-time · Posted Sep 30, 2026
- Location
- New York, NY
McLean, VA
Richmond, VA
Plano, TX
Wilmington, DE - Experience
- At least 7 years in data engineering; 3 years in data architecture; 2 years building applications in AWS; 5 years programming and designing data pipelines; 3 years in data modeling and end-to-end data solutions. Preferred experience ranges from 1+ to 10+ years, depending on area.
- Education
- Bachelor's Degree or higher in Computer Science or a related quantitative field; a Master’s Degree in Computer Science or a related field is preferred.
- Visa sponsorship
- Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.
About the job
Leads the architecture and engineering of an enterprise developer telemetry and insight platform, using real-time data and AI to measure developer activity and generative AI outcomes.
What you'll do
- Set the roadmap for distributed AI telemetry, streaming data engineering, and developer insights; scale the telemetry platform for high-volume events.
- Build AI inference and data capabilities to assess code and AI use cases, measure generative AI throughput and ROI, and connect telemetry to business outcomes.
- Own event-driven data architecture and privacy controls, and contribute technically through prototyping, engineering guidance, and mentoring.
What they ask for
- Bachelor’s Degree or higher in Computer Science or a related quantitative field.
- At least 7 years of experience in data engineering and 3 years in data architecture.
- At least 2 years building applications in AWS.
- At least 5 years programming in Python, Java, or Scala; 5 years designing and developing data pipelines; and 3 years in data modeling and end-to-end data solutions using relational and non-relational databases.
Nice to have
- Master’s Degree in Computer Science or a related field.
- Experience deploying machine learning models, streaming data pipelines, cloud data workloads, or data observability and orchestration tools.
Pay
$269,100 - $307,200 USD base salary (McLean, VA); $293,600 - $335,100 USD base salary (New York, NY); $244,700 - $279,200 USD base salary (Plano, TX); $244,700 - $279,200 USD base salary (Richmond, VA); $244,700 - $279,200 USD base salary (Wilmington, DE)
Tools
AWS, Python, Java, Scala, SQL, EMR, Spark, Glue
AI focus
Develops AI telemetry and inference capabilities, including LLM-as-a-Judge models, to classify AI use cases, assess code complexity, and measure generative AI throughput and ROI.
Model-written summary · the original posting is authoritative