Full-stack Engineer 4 (Apache Spark and Java)( Enterprise Platforms Technology)
Capital One4 days ago
Richmond, VA, USA or McLean, VA, USAStaff+
Base Salary
$197k - $225k/yr
Responsibilities
- Design, build, maintain, and scale data pipelines, distributed microservices, APIs, and full-stack enterprise applications.
- Develop backend systems that ingest, process, and serve billions of customer data points with low latency, high availability, and strong consistency.
- Define service boundaries, integration patterns, reusable frameworks, and cloud-based architectures with architects.
- Build AWS architectures using services including EMR, Glue, Lambda, Step Functions, S3, RDS, DynamoDB, and Kinesis.
- Optimize SQL queries, Apache Spark jobs, memory configuration, data partitioning, DAGs, and pipeline performance.
- Integrate Claude Code, GitHub Copilot, Cursor, and OpenAI Canvas into development, testing, refactoring, and autonomous workflows.
- Design APIs and backend architectures that interface with AI/ML models and LLM endpoints.
- Lead and mentor backend, data, and full-stack engineers and establish technical and coding standards.
- Implement monitoring, alerting, CI/CD pipelines, data-quality controls, and zero-downtime deployments.
- Identify bottlenecks, perform targeted refactoring, and reduce technical debt across distributed systems.
Requirements
- Bachelor's degree or higher in Computer Science or a related quantitative field such as Statistics, Economics, Operations Research, Analytics, Mathematics, or Engineering.
- At least 4 years of software engineering experience; internship experience does not apply.
- At least 2 years of experience with public cloud platforms, cloud-based productivity tools, or virtualization technologies.
- Preferred: master's degree in Computer Science or a related technical field.
- Preferred: 7+ years of professional software engineering experience using at least two languages including Java, Scala, Python, Go, Rust, C#, or JavaScript/TypeScript.
- Preferred: 4+ years of experience with advanced SQL, open-source RDBMS, and NoSQL database management systems.
- Preferred: 4+ years of experience creating synchronous and asynchronous APIs with open-source frameworks.
- Preferred: 3+ years building and troubleshooting cloud systems using AWS, GCP, or Azure.
- Preferred: 3+ years with CI/CD pipelines, infrastructure as code, automated testing frameworks, and Git-based version control.
- Preferred: 2+ years of Apache Spark performance tuning, including memory configuration, partitioning, and DAG optimization.
- Preferred: 2 years of experience with Docker and Kubernetes.
- Preferred: 1+ year leading cross-functional engineering initiatives, establishing coding standards, and mentoring engineers.
- Preferred: 1+ year using observability platforms to identify and eliminate distributed-system bottlenecks.
- Preferred: proficiency with AI-native development tools and interactive AI environments beyond basic code completion.
Benefits
- Capital One offers comprehensive health, financial, and other benefits supporting employee well-being, with eligibility varying by employment status and management level.
- The role is eligible for performance-based incentive compensation, potentially including cash bonuses and long-term incentives.
- This is a full-time position with location-based salary ranges for McLean, Virginia and Richmond, Virginia.
Tech Stack
Categories
About Capital One
Capital One is a U.S. consumer and commercial bank that offers credit cards, checking and savings accounts, auto financing, and lending to small and large businesses. It earns revenue from interest income and interchange/fees across its card and banking products, and develops cloud-based digital services. Founded in 1994, Capital One is publicly traded on the NYSE (COF) and is headquartered in McLean, Virginia.