Position: Python Backend Developer with AWS
Location: McLean, VA (Preferred) | Richmond, VA | Plano, TX
Duration: Long term contract
Note: Ex Capital One candidates preferred, especially those able to work at client locations.
Role Overview:
Capital One is seeking a skilled Backend Developer with strong Data Engineering expertise to design, build, and maintain scalable data pipelines in a cloud-native environment. This role focuses on backend development using Python, PySpark, and AWS, supporting high-volume data processing and analytics platforms.
The ideal candidate has hands-on experience building production-grade data pipelines, working with distributed data frameworks, and deploying solutions on AWS.
Key Responsibilities
- Design, develop, and maintain backend data pipelines using Python and PySpark
- Build and optimize ETL/ELT workflows for large-scale data processing
- Develop cloud-hosted solutions using AWS services
- Ensure performance, reliability, and scalability of data engineering pipelines
- Collaborate with product owners, data scientists, and platform teams to support analytics and business use cases
- Implement data quality checks, logging, monitoring, and error handling
- Participate in code reviews and follow Capital One engineering best practices
- Support deployment and operations in a CI/CD-driven cloud environment
Required Skills & Qualifications
- Strong hands-on experience with Python backend development
- Solid experience using PySpark for large-scale data processing
- Experience hosting and deploying applications on AWS (e.g., S3, EC2, EMR, Glue, Lambda, CloudWatch exact services may vary)
- Proven experience building data engineering pipelines
- Understanding of distributed systems and data processing concepts
- Experience working in Agile/Scrum development environments
- Strong problem-solving and debugging skills
Preferred Qualifications
- Ex Capital One experience (highly preferred)
- Ability to work onsite in McLean, VA
Experience with:
- CI/CD pipelines
- Data lake architectures
- Cloud-native backend systems
- Financial services or enterprise-scale data platform experience
Nice-to-Have Skills
- SQL and data modeling
- Workflow orchestration tools (Airflow or similar)
- Exposure to streaming or near real-time data processing
- Knowledge of security and compliance in cloud environments
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