This role pays more than
76%
of similar roles. Most pay
$192,050–$211,200
— the shaded band above.
At the midpoint, this role pays about
$211k
versus about
$202k
for comparable roles.
Based on 240 similar postings.
Employer
About Capital One Financial
Capital One Financial is a bank holding company specializing in credit cards, auto loans, banking, and savings products, known for its data-driven approach to consumer and commercial finance. Industry: Financial Services & Banking
Capital One Financial currently has
936 open roles
on FindRole.
Listed pay typically runs
$197,300–$225,100
across 933 roles with salary data.
Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology) joins the Enterprise Platforms Technology team to spearhead the architecture, development, and scaling of core data infrastructure and full-stack enterprise systems. This role involves designing and maintaining robust data pipelines, distributed microservices, and full-stack applications while managing a portfolio of high-impact projects. The engineer will build backend systems for processing billions of customer data points and develop cloud architectures using AWS services like EMR, Glue, Lambda, S3, RDS, and DynamoDB. Key technical requirements include proficiency in Java, Scala, Python, Go, Node.js, and TypeScript, alongside experience with Apache Spark performance tuning, SQL, NoSQL systems, and container orchestration via Docker and Kubernetes. The role also integrates AI-native tools like GitHub Copilot and Claude Code to enhance development workflows within a complex data infrastructure environment.
What does a Full Stack Engineer earn in Virginia?
Median $211200 from 149 postings across 4 companies.
Design and maintain scalable data pipelines, microservices, and full-stack applications using Java, Scala, Python, Go, or Node.js.
Build backend systems to ingest and process billions of customer data points with low latency and high availability.
Develop cost-effective cloud architectures using AWS services like EMR, Glue, Lambda, and S3.
Optimize Apache Spark jobs through memory configuration, data partitioning, and DAG optimization to reduce compute costs.
Integrate AI coding assistants and autonomous tools into development, testing, and refactoring workflows.
Design backend APIs that interface with LLM endpoints for automated monitoring and data enrichment.
Lead and mentor cross-functional teams while establishing technical standards for design and code reviews.
Implement CI/CD pipelines and monitoring systems to ensure data quality and zero-downtime deployments.
What we're looking for
Bachelor's Degree or higher in Computer Science or a related quantitative field.
At least 4 years of experience in software engineering.
At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
Master’s Degree in Computer Science or a related technical field (preferred).
7+ years of professional software engineering experience coding in two or more languages: Java, Scala, Python, Go, Rust, C#, or JavaScript/TypeScript (preferred).
4+ years of experience with Advanced SQL and NoSQL database management systems (preferred).
4+ years of experience creating synchronous and asynchronous APIs along with open-source frameworks (preferred).
3+ years of experience with CI/CD pipelines, Infrastructure as Code, automated testing, and Git-based version control (preferred).