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

Capital One is hiring a Data Engineer 5 for the Enterprise Platforms Technology team in Richmond, VA (onsite) to design and deliver an AI-enabling data ecosystem.

Responsibilities

• Architect, build, and scale clean, reliable, and latency-optimized batch and real-time data pipelines for AI/ML applications and Large Language Models (LLMs).
• Supply structured, semi-structured, and unstructured data to AI/ML workflows, including LLM workflows, RAG pipelines, and predictive ML models.
• 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.
• Collaborate 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 scalable feature stores to support real-time inferencing and offline model training for executive-facing predictive models.
• Audit and optimize cross-cloud pipelines, query performance, and storage infrastructure to improve efficiency, manage cost, and increase reliability.
• Partner 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 (e.g., Snowflake).
• Experience using interactive AI tooling to accelerate productivity, including capabilities beyond basic code completion (Claude, Gemini).

Salary

• Richmond, VA: USD 209,000 - 238,500 per year
• Performance-based incentive compensation may apply (cash bonus(es) and/or long term incentives (LTI)).

Role and Application Details

• Applications expected to be accepted for a minimum of 5 business days.
• No agencies please.
• Capital One is an Equal Opportunity Employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable laws.
• Capital One promotes a drug-free workplace.
• Capital One will consider qualified applicants with a criminal history consistent with applicable federal, state, and local requirements.
• Capital One offers comprehensive, competitive, and inclusive health, financial, and other benefits.

Accommodation and Recruiting Contact

• Accommodation requests: 1-800-304-9102 or [email protected]
• Recruiting process technical support/questions: [email protected]

Note: Position entity varies by location (Canada, United Kingdom, Philippines).