Python AWS Developer – Reston, VA; Hybrid

Role:
Python AWS Developer

Location:

Reston, VA (Hybrid 3 days onsite / 2 days offsite)

Duration:
Long Term

Interview Process:
1st round Video Interview, 2nd round Onsite Interview

Ex-Capital One Experience needed

We are looking for a strong Python AWS Developer who can work hands-on from scratch, build tools, automate data workflows, and support backend processing of large datasets. The ideal person is comfortable working across XML/JSON files, AWS services, and SQL-based data stores, and can take on a wide range of tasks in a mature Python environment.

• Design, develop, and deploy Python-based applications and automation scripts from scratch.
• Utilize Python libraries such as Pandas and Num Py for data processing, transformation, and analysis.
• Work extensively with AWS services (e.g., Lambda, S3, Dynamo
  
  DB, EC2, IAM, Step Functions, Glue, Cloud Watch).
• Integrate and automate workflows using Boto3 for AWS service interactions.
• Write optimized SQL queries and work with relational databases for data extraction and transformation.
• Support enterprise-level data engineering and analytics projects by building robust, scalable pipelines.
• Collaborate with cross-functional teams to deliver end-to-end cloud and data solutions.
• Leverage ML/AI libraries and frameworks where required for model integration or data processing tasks.
• Contribute to projects involving Amazon Bedrock
  , LLM-based workflows, and generative AI integrations.
• Ensure best practices for code quality, testing, security, and cloud architecture.

• 6 8 years of hands-on Python development experience with strong command of Pandas, Num Py, and best coding practices.
• Proven experience building Python applications and automation solutions from the ground up
  .
• Strong knowledge of AWS cloud services and cloud-native application development.
• Proficiency in Boto3 for AWS API interactions.
• Solid understanding of SQL and experience working with relational databases.
• Exposure to machine learning libraries (e.g., scikit-learn, Tensor Flow, PyTorch).
• Understanding of Amazon Bedrock
  , LLM workflows, or generative AI concepts.
• Experience supporting enterprise-scale data projects
  , data pipelines, or cloud migration initiatives.
• Strong problem-solving skills, communication abilities, and experience working in Agile environments.