Data Engineer 5 (Python, SQL, Databricks, Snowflake)

Capital One is hiring a Data Engineer 5 to design and implement an AI-enabling data ecosystem on the Enterprise Platforms Technology team.

Responsibilities

• Architect, build, and scale clean, reliable, latency-optimized data pipelines for both batch and real-time, supporting structured, semi-structured, and unstructured data for AI/ML and LLMs
• Help define the architectural blueprint for the Top of House AI data layer
• Act as a hands-on technical lead, mentoring junior and mid-level engineers on coding standards, design patterns, and engineering excellence
• Partner with Enterprise Security and Data Governance to implement data classification, privacy safeguards, and automated lineage tracking for AI models and training datasets
• Build and maintain feature stores that support real-time inferencing and offline model training for executive-facing predictive models
• Audit and optimize cross-cloud data pipelines, query performance, and storage infrastructure to improve efficiency, cost management, and reliability
• Collaborate with Technical Program Managers, Data Scientists, Top of House leads, and C-suite stakeholders to translate executive data needs into production-ready solutions

Requirements

• Bachelor’s Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)
• 6+ years of experience in application development (internship experience does not apply)
• 4+ years of experience in distributed data
• 4+ years of experience with SQL
• 4+ years programming with at least one: Python, Java, or Scala
• 4+ years designing and developing data pipelines
• 2+ years in data modeling and designing end-to-end data solutions using both relational and non-relational database systems

Technologies

• Python, SQL, Databricks, Snowflake
• Java, Scala
• AWS, Microsoft Azure, Google Cloud

Preferred qualifications

• Master’s Degree in a related field
• 9+ years of application development experience including Python, SQL, Scala, or Java
• 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
• 5+ years working on real-time data and streaming applications
• 5+ years of data warehousing experience (for example, Snowflake)
• Experience using interactive AI tooling to accelerate productivity, leveraging capabilities beyond basic code completion (Claude, Gemini)

Location

• Richmond, VA (onsite)

Compensation

• Annual salary range (full-time, Richmond, VA): USD 209,000 - 238,500
• Other posted Data Engineer 5 salary ranges by location:
  • McLean, VA: $229,900 - $262,400
  • New York, NY: $250,800 - $286,200
  • Plano, TX: $209,000 - $238,500
  • Riverwoods, IL: $209,000 - $238,500

Incentives

• Eligible for performance-based incentive compensation, which may include cash bonus(es) and/or long-term incentives (LTI)

Additional information

• Applications are expected to be accepted for a minimum of 5 business days
• No agencies
• Equal Opportunity Employer (EOE), committed to non-discrimination in compliance with applicable federal, state, and local laws
• Drug-free workplace
• Capital One will consider qualified applicants with a criminal history in accordance with applicable law
• Comprehensive, competitive, and inclusive health, financial, and other benefits to support total well-being

Accommodation and recruiting contact

• Accommodation requests: 1-800-304-9102 or [email protected]
• Technical support or recruiting process questions: [email protected]

Entity note: Canada postings are for Capital One Canada; United Kingdom postings are for Capital One Europe; Philippines postings are for Capital One Philippines Service Corp. (COPSSC).