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Python Test Automation Jobs in Ohio (NOW HIRING)

Proficiency in test automation for data validation using Python, SQL, or similar tools. * Experience with data platforms and tools such as: * Snowflake,Azure Data Factory (ADF), Databricks, IDMC

Python Developer

Cleveland, OH · On-site

$48.75 - $67.25/hr

Develop, test, and maintain scalable, secure Python applications. * Write clean, efficient, and ... Implement data processing pipelines, automation scripts, and backend services. * Participate in ...

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Python Test Automation information

Will AI replace automation testers?

AI can automate many repetitive testing tasks, but automation testers are essential for designing, maintaining, and interpreting tests that require critical thinking and domain knowledge. While AI tools enhance efficiency, human testers are needed to handle complex scenarios, ensure quality, and adapt to changing requirements. The role of automation testers evolves with AI, focusing more on oversight and strategy rather than manual execution.

What are some typical challenges faced in a Python Test Automation role, and how can they be addressed?

Python Test Automation professionals often encounter challenges such as maintaining test scripts as applications evolve, handling flaky tests, and integrating automation tools with continuous integration pipelines. Addressing these challenges involves writing modular, reusable test code, actively reviewing and updating test cases, and collaborating closely with developers to catch defects early. Keeping up-to-date with new automation tools and best practices can also make a significant difference. Effective communication and proactive problem-solving are key to ensuring testing processes remain smooth and efficient in a fast-paced development environment.

What is a Python Test Automation job?

A Python Test Automation job involves designing, developing, and maintaining automated test scripts using Python to verify software functionality and performance. Professionals in this role work with testing frameworks like PyTest, Selenium, or Robot Framework to create efficient and scalable test solutions. They collaborate with developers, QA teams, and DevOps engineers to ensure high software quality by automating repetitive testing tasks. The role requires strong programming skills, an understanding of testing methodologies, and experience with CI/CD pipelines to integrate automated testing into the development workflow.

Are Python coders still in demand?

Python test automation engineers are in high demand due to the language's widespread use in software testing, data analysis, and machine learning. Skills in frameworks like Selenium, pytest, and continuous integration tools increase employability, and demand is expected to grow as automation becomes more integral to software development.

What kind of jobs use Python automation?

Python automation is commonly used in roles such as test automation engineer, software developer, data analyst, and DevOps engineer. These jobs involve automating repetitive tasks, testing software, data processing, and deploying applications, often requiring knowledge of testing frameworks like pytest or Selenium and scripting skills.

What is the salary of Python automation tester?

The salary of a Python test automation tester varies based on experience, location, and industry, but typically ranges from $60,000 to $120,000 annually. Skilled testers with knowledge of automation tools like Selenium and pytest tend to earn higher salaries, especially in tech hubs or companies requiring advanced automation skills.

What are the key skills and qualifications needed to thrive in the Python Test Automation position, and why are they important?

To thrive as a Python Test Automation professional, you need strong programming skills in Python, a solid understanding of test automation frameworks, and experience with software testing methodologies. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is often required, and certifications like ISTQB can be advantageous. Excellent problem-solving abilities, attention to detail, and effective communication skills help you collaborate with development teams and report issues clearly. These competencies are essential to ensure high-quality, reliable software releases and create efficient automated testing processes.

What job categories do people searching Python Test Automation jobs in Ohio look for? The top searched job categories for Python Test Automation jobs in Ohio are:
Infographic showing various Python Test Automation job openings in Ohio as of June 2026, with employment types broken down into 1% As Needed, 68% Full Time, 28% Part Time, 2% Contract, and 1% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution.

Test Principal Architect - onsite in Raymond, Ohio

Thomas & Reed, LLC

Columbus, OH

Full-time

Posted 5 days ago


Job description

Design and lead testing strategies for AI-driven software systems in automotive environments. This role is critical to ensuring the performance, reliability, and safety of intelligent vehicle technologies through rigorous validation and cross-functional collaboration.
Minimum Educational Qualifications
• Bachelor’s Degree in Computer Science or Electronics Engineering
Minimum Experience
• 8+ years in automotive software testing
Job-Specific Skills
• Basic understanding of data pipelines and analytics tools used in automotive software validation.
• Hands-on experience with industry-standard testing and measurement tools such as dSPACE, CANoe, CANape, DIVA, and Open Test.
• Proficiency in scripting languages including JAVASCRIPT, Python, and CAPL for test automation and diagnostics.
• ISTQB or IREB certification preferred, demonstrating formal training in software testing and requirements engineering.
• Strong knowledge of test coverage analysis and defect tracking metrics to support continuous improvement.
• Effective written and verbal communication skills, with the ability to convey technical concepts clearly across teams.
• Proven ability to manage time effectively, clarify responsibilities, and coordinate across multidisciplinary teams.
• Demonstrated innovation and problem-solving capabilities in complex technical environments.
• Ability to build and leverage internal networks and coalitions to gain alignment, support, and drive collaborative success.