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Telecommute Python Django Backend Developer Jobs in Laurel, MD

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 ...

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 ...

Senior Python Developer

Mclean, VA · On-site

$123.50K - $166.20K/yr

... Django framework Qualifications: • Bachelor's degree in Computer Science or Engineering or ... Python & middleware (WebLogic, Apache, Spring Boot, etc.) technologies in UNIX environment and ...

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Telecommute Python Django Backend Developer information

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How much do telecommute python django backend developer jobs pay per year?

As of May 31, 2026, the average yearly pay for telecommute python django backend developer in Laurel, MD is $146,968.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,300.00 and $166,100.00 per year, depending on experience, location, and employer.
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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