# Data Engineer 4 at Capital One

Capital One is hiring a Data Engineer 4. Level rates it Little AI ●○○○; you can [apply on Capital One](https://jobsbylevel.com/go/ef82e0bb-4f42-488e-a08c-db55868d0fb3?utm_medium=ai-agent).

AI Level 1, AI centrality 14 out of 100. Plano, TX.

## Details

- Company: [Capital One](https://jobsbylevel.com/companies/capital-one)
- AI level: AI Level 1 (score 14 out of 100)
- Location: Plano, TX
- Posted: November 13, 2026
- Apply: https://jobsbylevel.com/go/ef82e0bb-4f42-488e-a08c-db55868d0fb3?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-4-at-capital-one-cc73ca

## Description

Data Engineer 4 Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive and iterative delivery environment? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. The Refi Tech team at Capital One is dedicated to simplifying the auto refinance process, helping customers seamlessly replace their current auto loans with options that better suit their financial needs. We focus on building and optimizing the end to end digital experience of the Auto Refi App, specifically bridging the gap between pre qualification and agent funding. By developing intuitive interfaces for checking savings, selecting offers, and completing applications, the team ensures a highly convenient, user-friendly platform that empowers customers to manage their refinancing journey whenever and wherever they choose. Refi Tech is looking for a collaborative, highly empathetic team member who actively listens to stakeholder needs, applies emotional intelligence to build trust and drives business decisions grounded in customer impact. What You’ll Do: Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands Implement data security standards, including encryption at rest/transit and fine-grained access control, ensuring compliance with data privacy regulations Basic Qualifications: Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering) At least 4 years of experience in application development (Internship experience does not apply) At least 2 years of experience in distributed data At least 2 years of experience with SQL At least 2 years of experience with one programming language (Python, Java, or Scala) At least 2 years of experience in data pipeline design and development At least 1 year of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems Preferred Qualifications: 7+ years of experience in application development with demonstrated proficiency in Python, SQL, Scala,

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-4-at-capital-one-cc73ca

Source: https://jobsbylevel.com/jobs/data-engineer-4-at-capital-one-cc73ca

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