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
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...
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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