Data Engineer 5 (Python, SQL, Databricks, Snowflake) (Enterprise Platforms Technology)

Capital One; Plano (TX); On-site; USD 209,000 - 239,000; Full time

Job summary

Capital One is seeking a Data Engineer to design and implement AI-enabled data ecosystems, bridging traditional data architecture with modern AI capabilities. You will craft scalable pipelines, streaming architectures, and robust data governance to support LLM workflows, RAG pipelines, and predictive ML models.

You will collaborate with Data Scientists, Analysts, and Engineers to establish best-in-class data engineering practices for both traditional and AI workloads across enterprise platforms.

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• At least 6 years of experience in application development.
• At least 4 years of experience in distributed data.
• At least 4 years of experience with SQL.
• At least 4 years of experience programming with Python, Java, or Scala.
• At least 4 years of experience designing and developing data pipelines.
• At least 2 years of experience in data modeling and designing end-to-end data solutions.

Responsibilities

• AI Architecture & Data Foundation: Architect, build, and scale data pipelines for AI/ML and LLMs.
• Technical Leadership & Strategy: Define architectural blueprint and guide engineers.
• Data Governance, Security, & Lineage: Collaborate on data classification, privacy, and lineage for AI datasets.
• Feature Engineering & Store: Build scalable feature stores for real-time and offline models.
• Performance & Cost Optimization: Optimize cross-cloud pipelines and storage for efficiency.
• Cross-Functional Collaboration: Partner with PMs, Data Scientists, and leaders to deliver production-ready solutions.

Skills

SQL

Python

Java

Scala

Data Pipelines

Distributed Data

Data Modeling

Education

Bachelor's Degree or higher in Computer Science or related quantitative field

Job description

Position Overview

We are seeking a Data Engineer to develop the technical vision, architectural design, and implementation of our AI-enabling data ecosystem.

In this strategic role, you will bridge the gap between traditional enterprise data architecture and modern AI capabilities. You will design resilient, scalable data pipelines, and real-time streaming architectures that power LLM workflows, Retrieval-Augmented Generation (RAG) pipelines, and predictive ML models. You will work closely with Data Scientists, Analysts, and other Engineers to establish best-in-class data engineering practices for traditional and AI enabled workloads.

About The Team

The Enterprise Platforms Tech Top of House Data & Analytics team serves as the strategic intelligence backbone for executive leadership and strategy. We operate at the intersection of business strategy, core enterprise infrastructure, and advanced analytics. Our team is responsible for delivering high-impact, enterprise-level data products, decisioning engines, and modern analytics capabilities that power executive level decision-making.

Key Responsibilities

• AI Architecture & Data Foundation: Architect, build, and scale clean, reliable, and latency-optimized data pipelines (batch and real-time) designed specifically to supply structured, semi-structured, and unstructured data to AI/ML applications and Large Language Models (LLMs).
• Technical Leadership & Strategy: Contribute to defining the architectural blueprint for the Top of House AI data layer. Serve as a hands-on technical lead, guiding junior and mid-level engineers in coding standards, design patterns, and engineering excellence.
• Data Governance, Security, & Lineage: Partner with Enterprise Security and Data Governance teams to implement robust data classification, privacy safeguards, and automated lineage tracking for AI models and training datasets.
• Feature Engineering & Store: Build and maintain scalable feature stores to support both real-time inferencing and offline model training across executive-facing predictive models.
• Performance & Cost Optimization: Audit and optimize cross-cloud data pipelines, query performance, and storage infrastructure for efficiency, cost management, and reliability.
• Cross-Functional Collaboration: Partner directly with Technical Program Managers, Data Scientists, Top of House leads, and C-suite stakeholders to turn executive data needs into production-ready solutions.

Basic Qualifications

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

Preferred Qualifications

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

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

McLean, VA: $229,900 - $262,400 for Data Engineer 5

New York, NY: $250,800 - $286,200 for Data Engineer 5

Plano, TX: $209,000 - $238,500 for Data Engineer 5

Richmond, VA: $209,000 - $238,500 for Data Engineer 5

Riverwoods, IL: $209,000 - $238,500 for Data Engineer 5

Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications 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 federal, state, and local laws. Capital One promotes a drug-free workplace.

Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

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For technical support or questions about Capital One's recruiting process, please send an email to [e-mail]

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Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).