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Evening Python Django Backend Developer Jobs in Washington

Description LT Consulting is seeking a Backend Web Developer with an active TS/SCI polygraph ... Proficiency with Java and Spring Boot, Node and Express, Python with Flask or Django, or similar ...

Senior Software Engineer - Python

Rockville, MD · Remote

$124.90K - $164.60K/yr

As a Senior Engineer, you will work with our backend team to architect, maintain and improve our main learning platform. Having extensive Python + Django experience is required. The project is unique ...

Senior Full-Stack Developer (Python / Django / AWS) Location: Remote (EST Preferred) Type: Contract ... Python, Django, and modern JavaScript frameworks * Develop and maintain backend services and APIs ...

Back-End Developer Location: On-site at the National Geospatial-Intelligence Agency (NGA) Clearance ... Familiarity with Python and JavaScript development. * Experience building data pipelines and ...

Salary: Back-End Developer Location: On-site at the National Geospatial-Intelligence Agency (NGA ... Familiarity with Python and JavaScript development. * Experience building data pipelines and ...

Back-End Developer Location: On-site at the National Geospatial-Intelligence Agency (NGA) Clearance ... Familiarity with Python and JavaScript development. * Experience building data pipelines and ...

Django & Python * Deep experience building production Django apps * Strong knowledge of Django REST ... DevOps & Tooling * Comfortable working with Docker * Experience deploying to Heroku or similar ...

Django & Python * Deep experience building production Django apps * Strong knowledge of Django REST ... DevOps & Tooling * Comfortable working with Docker * Experience deploying to Heroku or similar ...

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Python Backend Developer with AWS

Python Backend Developer with AWS

IT America Inc

Mclean, VA • On-site

Contractor

Posted 20 days ago


Job description

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