Distinguished Engineer (card Tech)

EPX

Mclean, VA, United States
Base: $269,100 - $307,200; bonus/equity: performan...
Large-scale production data pipelines
Cloud native architecture on aws
Technical leadership in engineering
You will partner with the Capital One Travel Data & Personalization team to architect the next generation of the Travel Intelligence Platform, focusing on foundational data schemas and orchestration layers

Job Summary

  • You will partner with the Capital One Travel Data & Personalization team to architect the next generation of the Travel Intelligence Platform, focusing on foundational data schemas and orchestration layers.
  • The role involves leading innovation by establishing an Agentic AI framework that bridges high-scale data orchestration with real-world execution to enable proactive journey management.
  • Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being.

Matching Summary

You will partner with the Capital One Travel Data & Personalization team to architect the next generation of the Travel Intelligence Platform, focusing on foundational data schemas and orchestration layers.

Salary

Base: $269,100 - $307,200; Bonus/Equity: Performance based incentive compensation including cash bonus and/or LTI; Benefits: Comprehensive health, financial and other benefits

Skills & Requirements

Must-have

  • Large-scale production data pipelines
  • Cloud Native Architecture on AWS
  • Technical leadership in engineering
  • Machine Learning Engineering
  • Container orchestration with Kubernetes
  • Data schema and orchestration design

Nice-to-have

  • Mentoring and community building
  • Strong communication skills
  • Experience with MarTech or Personalization engines
  • Agentic AI framework expertise
  • Cross-functional collaboration
  • Engineering culture promotion

Key Requirements

  • Bachelor’s Degree
  • 9+ years software engineering experience
  • 7+ years in Data or Machine Learning Engineering
  • 5+ years Cloud Native Architecture experience
  • 3+ years in Technical Leadership roles
  • Experience with PySpark, SQL, Airflow
  • Experience with Kubernetes/KubeFlow
  • Experience building scalable data systems

Work Rights

Not specified

Sponsorship: available

Tailored Resume

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