Full-stack Engineer 4, Apache Spark, Java – Enterprise Platforms Technology

Capital One

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

Posted 9/25/2026full-timeMcLean • Virginia • United StatesMid-LevelSenior💰 $179,400 - $225,100 per yearWebsite

Tech Stack

Tools & technologies

ApacheAWSAzureCloudDistributed SystemsDockerDynamoDBGoogle Cloud PlatformJavaJavaScriptKubernetesMicroservicesNode.jsNoSQLOpen SourcePythonRDBMSRustScalaSparkSQLTypeScriptGo

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines, distributed microservices, and full-stack applications using Java, Scala, Python, Go, Node.js, and TypeScript
Engineer backend systems that ingest, process, and serve billions of customer data points with low latency, high availability, and strong data consistency
Partner with architects to define service boundaries, integration patterns, and reusable frameworks across cloud environments
Build cost-effective, high-throughput cloud architectures using AWS EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, and Kinesis
Write optimized SQL queries across open-source RDBMS and NoSQL systems
Tune Apache Spark jobs to reduce compute costs and improve pipeline performance
Integrate AI coding assistants and autonomous tooling into development, testing, and refactoring workflows
Design backend architectures and APIs interfacing with AI/ML models and LLM endpoints
Lead, mentor, and inspire cross-functional backend, data, and full-stack engineering teams
Set technical standards for design, development, human-in-the-loop AI coding, and code reviews
Implement monitoring, alerting, and CI/CD pipelines for data quality, pipeline integrity, and zero-downtime deployments
Identify system bottlenecks, execute targeted refactoring, and reduce technical debt across distributed systems

Requirements

What you’ll need

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
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 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, including memory configuration, partitioning, and 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 with AI-native development tools and interactive AI environments (Claude Code, GitHub Copilot, Cursor, OpenAI Canvas) beyond basic code completion
Must not require employer immigration support; Capital One will not sponsor a new applicant for employment authorization or provide immigration-related support
Preferred: Master's Degree in Computer Science or a related technical field

Benefits

Comp & perks

Performance-based incentive compensation, which may include cash bonuses and/or long-term incentives (LTI)
Comprehensive, competitive, and inclusive health, financial, and other benefits supporting total well-being
Benefits eligibility varies based on full- or part-time status, exempt or non-exempt status, and management level
Reasonable accommodations for applicants who require them