More jobs:
Python Backend Developer AWS
Job in
McLean, Fairfax County, Virginia, USA
Listed on 2026-02-28
Listing for:
Ven Soft LLC
Full Time
position Listed on 2026-02-28
Job specializations:
-
Software Development
Data Engineer, Python, AWS
Job Description & How to Apply Below
Position:
Python Backend Developer with AWS
Duration:
Long term contract
Note: Ex–Capital One candidates preferred, especially those able to work at client locations.
Role OverviewCapital 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 Py Spark
- 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
Skills & Qualifications
- Strong hands‑on experience with Python backend development
- Experience hosting and deploying applications on AWS (e.g., S3, EC2, EMR, Glue, Lambda, Cloud Watch – exact services may vary)
- Understanding of distributed systems and data processing concepts
- Experience working in Agile/Scrum development environments
- Strong problem‑solving and debugging skills
- Ex–Capital One experience (highly preferred)
- Ability to work onsite in McLean, VA
- Data lake architectures
- Cloud-native backend systems
- Financial services or enterprise-scale data platform experience
- 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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