AI-Driven Python Data Automation Engineer

New York Technology Partners; Fort Mill (SC); On-site; USD 90,000 - 130,000; Full time

Job summary

New York Technology Partners is seeking a Python Data Automation Engineer to develop and maintain automated test scripts using Python and PyTest within an Agile team. The role emphasizes database testing, ETL validation, and AI-assisted automation to improve product quality.

The candidate will collaborate with product and engineering teams, design test plans, and integrate tests into CI/CD pipelines across AWS/Azure/GCP environments, ensuring scalable, reliable data solutions.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• Proven experience with Python, PyTest, and automation framework development.
• Strong SQL skills and data validation including complex queries.
• Familiarity with CI/CD tools (Jenkins, GitHub Actions, Azure DevOps).
• Experience using AI-assisted development tools to improve automation.
• Experience with cloud platforms AWS, Azure or GCP.

Responsibilities

• Develop and maintain automated test scripts using Python and PyTest.
• Collaborate with product and engineering teams to design and automate test cases.
• Perform database testing to validate data integrity and accuracy.
• Create and execute test plans and analyze results to identify defects.
• Integrate automated tests into the CI/CD pipeline for continuous testing.
• Document test cases, results and defects clearly.

Skills

Python

PyTest

Automation frameworks

ETL validation

Database testing

SQL queries

Cloud platforms

CI/CD

API testing

AI tools

GitHub Copilot

Education

Bachelor's degree in CS/Engineering or related field

Tools

Jenkins

GitHub Actions

Azure DevOps

Postman

Docker

Kubernetes

Job description

New York Technology Partners is seeking a Python Data Automation Engineer to develop and maintain automated test scripts using Python and PyTest within an Agile team. The role emphasizes database testing, ETL validation, and AI-assisted automation to improve product quality.

The candidate will collaborate with product and engineering teams, design test plans, and integrate tests into CI/CD pipelines across AWS/Azure/GCP environments, ensuring scalable, reliable data solutions.