1

Python Automation Testing Jobs in Dallas, TX (NOW HIRING)

Python API Developer

Irving, TX · On-site

$48.25 - $66.50/hr

Develop and Maintain Test Automation frameworks using Python. * Build, manage and optimize real ... Experience with testing frameworks (e.g. Junit, pytest). * Knowledge on Unix scripting. Must have:

Python Developer

Addison, TX · On-site

$48.75 - $67/hr

This is not a scripting-only or task automation role. We are looking for a software engineer who ... Develop habits around code quality, testing, and production observability Required Experience ...

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to ... Document automation architecture, processes, and operating procedures, while mentoring junior ...

A minimum of 4+ years of experience in software development, automation, or embedded systems testing * Strong hands-on experience with Python development * Experience working with embedded systems ...

Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to ... Document automation architecture, processes, and operating procedures, while mentoring junior ...

... SDLC and automation * 2-4 years of hands-on experience deploying and/or supporting highly ... Experience with unit testing frameworks and tools * Hands on experience working with AWS services ...

next page

Showing results 1-20

Python Automation Testing information

See Dallas, TX salary details

$10

$50

$74

How much do python automation testing jobs pay per hour?

As of Jun 22, 2026, the average hourly pay for python automation testing in Dallas, TX is $50.94, according to ZipRecruiter salary data. Most workers in this role earn between $43.94 and $58.03 per hour, depending on experience, location, and employer.

What is the difference between Python Automation Testing vs Manual Software Testing?

AspectPython Automation TestingManual Software Testing
Required SkillsPython programming, automation tools, scriptingTest case execution, attention to detail, communication
Work EnvironmentAutomated testing frameworks, scripting environmentsTest labs, user environments, manual execution
Industry UsageSoftware development, QA teams, continuous integrationInitial testing phases, exploratory testing, user acceptance

Python Automation Testing involves writing scripts to automate test cases, increasing efficiency and repeatability. Manual Software Testing requires testers to execute test cases manually, focusing on exploratory and usability aspects. Both roles are essential in software quality assurance, but Python Automation Testing emphasizes automation skills, while manual testing emphasizes detailed test execution and observation.

What are the key skills and qualifications needed to thrive as a Python Automation Testing professional, and why are they important?

To thrive as a Python Automation Testing professional, you need strong proficiency in Python programming, knowledge of software testing methodologies, and experience with test automation frameworks, often supported by a degree in computer science or a related field. Familiarity with tools such as Selenium, PyTest, Jenkins, and version control systems like Git is typically required, along with certifications like ISTQB being advantageous. Analytical thinking, attention to detail, and effective communication skills help testers identify issues, collaborate with teams, and document findings clearly. These competencies ensure the creation of reliable, maintainable automated tests that improve software quality and streamline development cycles.

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

One common challenge in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts. To address this, it's important to implement modular and reusable code, and regularly review and refactor test cases. Collaborating closely with developers and participating in code reviews can also help testers anticipate changes and adapt their tests proactively. Additionally, integrating robust reporting and logging mechanisms helps quickly identify and resolve issues, ensuring the reliability of the automated test suite.

What is Python Automation Testing?

Python Automation Testing refers to the process of using Python programming language to write scripts that automatically test software applications. These scripts can validate functionality, performance, and reliability of software, reducing the need for manual testing and speeding up the development cycle. Python is popular for automation testing because of its readability, extensive libraries like Selenium and PyTest, and strong community support. Automation tests can be integrated into continuous integration pipelines to ensure consistent quality across software releases.
What job categories do people searching Python Automation Testing jobs in Dallas, TX look for? The top searched job categories for Python Automation Testing jobs in Dallas, TX are:
What cities near Dallas, TX are hiring for Python Automation Testing jobs? Cities near Dallas, TX with the most Python Automation Testing job openings:

Python API Developer

Sarian, Inc.

Irving, TX • On-site

$48.25 - $66.50/hr

Full-time

Posted 21 days ago


Job description

Role: Python API Developer
Location: Irving, TX
Onsite position
Fulltime position
JD
  • Develop and Maintain Test Automation frameworks using Python.
  • Build, manage and optimize real-time data pipelines using Apache Kafka.
  • Design and optimize databases, queries, and procedures in PostgreSQL.
  • Implement reliable, scalable, and high performing distributed systems.
  • Collaborate with cross functional team for feature development and system improvements.
  • Experience with Cl/CD pipelines and version controls in GIT.
  • Create Dashboards using one of this PowerBI, Tableau or Qlickview.
  • Experience with Cl/CD pipelines and version controls in GIT.
  • Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes.
  • Familiarity with big data ecosystems including Hadoop.
  • Knowledge of RESTful and GraphQL APls.
  • Expertise in data visualization tools like Power Bi, Tableau, QlikView for creating dashboards.
  • Experience with message driven architectures and event sourcing.
  • Knowledge of Agile methodologies and Tools.
  • Experience with testing frameworks (e.g. Junit, pytest).
  • Knowledge on Unix scripting.

Must have:
  • Python.
  • Machine Learning (SDV).
  • Apache Spark.
  • Apache Kafka.
  • Power Bi, Tableau, QlikView.
  • PostgreSQL.

Manikanth
Sarian Solutions, Inc.
Ph: 732-790-2266 X 105
manikanth.d@sariansolutions.com | https://www.sarianinc.com/