Python Developer | Onsite Interview Required | McLean, VA

  • McLean, VA
  • Posted 2 days ago | Updated 2 days ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent

Skills

Python
PySpark
Behave
Cucumber
PyTest
SonarQube
Fortify
Jenkins
Snowflake
Informatica
AWS EKS
AutoSys

Job Details

Job Title: Python Developer (Local)

Location: McLean, VA Onsite Interview Required

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Job Summary:

We are looking for a talented Python Developer with a strong background in microservices and automation testing frameworks. The ideal candidate will have hands-on expertise working in agile environments and demonstrate solid knowledge of AWS cloud-based deployments and modern DevOps practices.

Key Responsibilities:

  • Develop and maintain microservices using Python/PySpark.
  • Design and implement automation solutions with Behave/Cucumber, PyTest, and other test automation tools.
  • Work closely with database technologies such as Postgres to manage data storage and retrieval.
  • Leverage AWS services (EKS) for containerized application deployment and management.
  • Implement and optimize data pipelines using Snowflake and Informatica.
  • Integrate code quality tools like SonarQube and Fortify into the SDLC.
  • Maintain and enhance application automation with scheduling tools like AutoSys.
  • Collaborate with cross-functional teams to troubleshoot issues and optimize solutions.
  • Work in an agile environment, participating in sprint planning, peer reviews, and regular team meetings.

Required Skills & Qualifications:

  • Proven hands-on experience with Python/PySpark for building microservices.
  • Experience with automation testing tools (Behave/Cucumber, PyTest) and scripting frameworks.
  • Strong SQL skills and experience with Postgres or similar relational databases.
  • Familiarity with CI/CD tools like Jenkins and code quality tools (SonarQube, Fortify).
  • Exposure to data warehouse technologies (Snowflake, Informatica) is highly desirable.
  • Proficiency in containerized app deployment on AWS EKS.
  • Experience with scheduling tools like AutoSys.
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