Distinguished Data Engineer - Card Data

Position Overview

Distinguished Data Engineers are individual contributors who visualize complex problem spaces to deliver innovative technology solutions. At Capital One, diversity of thought drives our ability to influence, collaborate, and create groundbreaking solutions. As a Distinguished Data Engineer within our Credit Card Technology Data Engineering Team, you will architect high-availability systems that power fraud detection, personalized rewards, and regulatory compliance. Working cross-functionally with ML Scientists, Product Managers, and Business Analysts, you will solve complex, high-stakes problems using cutting-edge cloud technologies such as Snowflake, Kafka, and AWS. This role demands both leadership in recruiting top talent and technical excellence to ensure customer-oriented solutions.

Key Responsibilities

• Build awareness, increase knowledge, and drive adoption of modern technologies, highlighting consumer and engineering benefits.
• Strike the right balance between sharing expertise and fostering an inclusive environment where diverse ideas are championed.
• Promote a culture of engineering excellence by reusing and innersourcing solutions where possible.
• Effectively communicate with and influence key stakeholders across the enterprise at all organizational levels.
• Operate as a trusted advisor for specific technology domains, shaping use cases and unified implementations.
• Lead efforts to nurture next-generation talent by mentoring internal teams and actively recruiting external experts.

Required Qualifications

• Bachelor’s Degree
• At least 7 years of experience in data engineering
• At least 3 years of experience in data architecture
• At least 2 years of experience building applications in AWS

Preferred Qualifications

• Masters’ Degree
• 9+ years of experience in data engineering
• 3+ years of data modeling experience
• 2+ years of experience with ontology standards for defining a domain
• 2+ years of experience using Python, SQL, or Scala
• 1+ year of experience deploying machine learning models
• 3+ years of experience implementing big data processing solutions on AWS

Benefits & Perks

• Compensation:
• Chicago, IL: $244,700 - $279,200
• McLean, VA: $269,100 - $307,200
• New York, NY: $293,600 - $335,100
• Richmond, VA: $244,700 - $279,200
• San Francisco, CA: $293,600 - $335,100
• Performance-based incentive compensation, which may include cash bonuses and/or long term incentives.
• Benefits: Comprehensive, competitive, and inclusive benefits including health, financial, and other well-being support.