Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)

Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)

At Capital One, you’ll be part of a group of makers, breakers, doers, and disruptors who love solving real problems and meeting real customer needs. Enterprise Platforms Technology (EPTech) comprises many of Capital One’s most critical enterprise platforms. We play an essential role in establishing practices for building technology solutions across the company while delivering capabilities that exemplify those standards.

We are seeking a forward-thinking Full-Stack Engineer 4 to spearhead the architecture, development, and scaling of core data infrastructure and full-stack enterprise systems. In this role, you will lead a portfolio of high-impact technology projects, driving major transformations by combining traditional big data architectures, microservices, and AI-native engineering workflows in a \"you build it, you own it\" culture.

What You’ll Do

Architecture & Core Development

• Design, build, and maintain robust, highly scalable data pipelines, distributed microservices, and full-stack applications using Java, Scala, Python, Go, Node.js, and TypeScript.


• Engineer backend systems capable of ingesting, processing, and serving billions of customer data points with low latency, high availability, and strong data consistency to meet critical business and regulatory needs.


• Partner with architects to define service boundaries, integration patterns, and reusable frameworks across cloud-based environments.

Cloud & Big Data Infrastructure

• Build cost-effective, high-throughput cloud architectures leveraging AWS services (EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, Kinesis).


• Write optimized SQL queries across Open Source RDBMS and NoSQL systems.


• Tune Apache Spark jobs (memory configuration, data partitioning, DAG optimization) to minimize compute costs and maximize pipeline performance.

AI Integration & Autonomous Workflows

• Drive engineering velocity by integrating AI coding assistants and autonomous tooling (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas) into daily development, testing, and refactoring workflows.


• Design backend architectures and APIs that interface with AI/ML models and LLM endpoints for intelligent data enrichment and automated pipeline monitoring.

Technical Leadership & Operational Excellence

• Lead, mentor, and inspire cross-functional teams of backend, data, and full-stack engineers.


• Set technical standards for design, development, human-in-the-loop AI coding, and code reviews.


• Implement robust monitoring, alerting, and CI/CD pipelines to ensure data quality, pipeline integrity, and zero-downtime deployments.


• Proactively identify system bottlenecks, execute targeted refactoring, and reduce technical debt across distributed systems.

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 software engineering (Internship experience does not apply)


• At least 2 years of experience with public cloud platforms (AWS, GCP, Azure), cloud-based productivity tools, or virtualization technologies

Preferred Qualifications:

• Master’s Degree in Computer Science or a related technical field.


• 7+ years of professional software engineering experience coding in two or more languages: Java, Scala, Python, Go, Rust, C#, or JavaScript/TypeScript.


• 4+ years of experience with Advanced SQL (Open Source RDBMS) and NoSQL database management systems.


• 4+ years of experience creating synchronous and asynchronous APIs, alongside open-source frameworks.


• 3+ years of hands-on experience building and troubleshooting systems in cloud environments (AWS, GCP, Azure).


• 3+ years of experience with CI/CD pipelines, Infrastructure as Code (IaC), automated testing frameworks, and Git-based version control (Git, GitHub, Bitbucket).


• 2+ years of hands‑on experience in Apache Spark performance tuning (memory configuration, partitioning, DAG optimization).


• 2 years of Hands‑on experience with container orchestration tools, including Docker and Kubernetes.


• 1+ year of experience leading cross‑functional engineering initiatives, establishing team coding standards, and mentoring engineers.


• 1+ year of experience leveraging observability platforms to identify and eliminate performance bottlenecks in distributed systems.


• Proficiency in leveraging AI-native development tools and interactive AI environments (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas) beyond basic code completion.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

McLean, VA: $197,300 - $225,100 for Full-stack Engineer 4

Richmond, VA: $179,400 - $204,700 for Full-stack Engineer 4

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.

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.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at View phone number on click.appcast.io or via email at View email address on click.appcast.io. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to View email address on click.appcast.io.

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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).

Capital One will not sponsor a new applicant for employment authorization, or offer any immigration related support for this position (e.g. H1B, F-1 OPT, F-1 STEM OPT, F-1 CPT, J-1, TN, E-3, and O-1, or any other forms of work authorization that require immigration support from an employer).