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Python Automation Testing Jobs in North Carolina

ACA Group

Python/AI Product Engineer

Durham, NC · On-site

... automation services • Build scalable and secure cloud-native AI services within Amazon Web ... testing, observability, security, scalability, and AI governance • Evaluate emerging AI ...

Samprasoft

Data Engineer (Python)

Durham, NC

$103.70K - $124.60K/yr

Good working knowledge of Control-M/Automation tools. * Some experience in DevOps * Production ... Some QA/Testing experience is a plus * Some Kubernetes / Docker experience is a plus

Valicy

QA Automation Engineer

Greenville, NC · On-site

SUMMARY: The QA Automation Engineer is responsible for evaluating, testing, validating, and ... Python, logs, dashboards, telemetry, or build validation. -Experience creating custom tools to ...

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How much do python automation testing jobs pay per hour?

As of Jun 3, 2026, the average hourly pay for python automation testing in North Carolina is $46.60, according to ZipRecruiter salary data. Most workers in this role earn between $40.19 and $53.08 per hour, depending on experience, location, and employer.

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in Python Automation Testing is maintaining test scripts as applications evolve, which can lead to flaky tests or outdated scripts.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 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 popular job titles related to Python Automation Testing jobs in North Carolina? For Python Automation Testing jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Automation Testing jobs in North Carolina look for? The top searched job categories for Python Automation Testing jobs in North Carolina are:
What cities in North Carolina are hiring for Python Automation Testing jobs? Cities in North Carolina with the most Python Automation Testing job openings:
Python Automation Testing jobs near you
Data Testing Coordinator - Regulatory Reporting & Data Validation (SQL/Python/Data Quality).

Data Testing Coordinator - Regulatory Reporting & Data Validation (SQL/Python/Data Quality).

Pyramid Consulting, Inc

Charlotte, NC • Hybrid

$60 - $70/hr

Other

Posted 4 days ago

Job description

Immediate need for a talented Data Testing Coordinator – Regulatory Reporting & Data Validation (SQL/Python/Data Quality). This is a 06+ months contract opportunity with long-term potential and is located in Charlotte, NC(Hybrid). Please review the job description below and contact me ASAP if you are interested.


Job ID: 26-16264


Pay Range: $60 - $70/hour. Traveler benefits as per agency package. (Benefits vary by vendor and assignment)


Key Responsibilities:


  • Develop and execute testing strategies for regulatory reporting initiatives.
  • Create:
  • Test Cases
  • Test Scripts
  • Test Queries
  • Validation Frameworks
  • Perform data reconciliation and validation.
  • Validate source-to-target mappings.
  • Conduct System of Record (SOR) analysis.
  • Execute data profiling and quality assessments.
  • Lead defect triage sessions.
  • Perform root cause analysis.
  • Coordinate testing efforts across:
  • Business Teams
  • Data Teams
  • Technology Teams
  • QA Teams
  • Support UAT activities.
  • Create executive-level testing status reporting.
  • Build dashboards and automation solutions using Python.
  • Drive issue resolution and quality improvements.


Key Requirements and Technology Experience:


  • Testing
  • Data Testing
  • Data Validation
  • UAT
  • Reconciliation
  • Defect Management
  • Root Cause Analysis
  • Data Quality
  • Data Profiling
  • Data Quality Frameworks
  • Data Controls
  • Validation Rules
  • Technical
  • SQL
  • Python
  • Oracle
  • BigQuery
  • Hive
  • Cloud Data Platforms
  • Documentation
  • Test Cases
  • Test Scripts
  • Validation Documentation
  • Testing Governance
  • Regulatory Environment
  • Banking
  • Financial Services
  • Regulatory Reporting
  • Stakeholder Management
  • Communication
  • Presentation Skills
  • Testing Coordination
  • FR 2052A
  • Y-9C
  • Basel
  • CCAR
  • Call Reports
  • AI-enabled testing
  • Data automation
  • Prior AMEX experience


Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.


Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.


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