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Contract Python Automation Jobs (NOW HIRING)

Select Minds LLC

Test Automation Engineer

Phoenix, AZ · On-site

$76K - $90K/yr

Test Automation Engineer (Python + GenAI + LLMs) Location: Phoenix, AZ (Hybrid | Day 1 Onsite | Minimum 3 Days/Week) Duration: Long Term Contract Experience Required: 5+ Years We are seeking an ...

Soft Tech Consulting

Automation Test Engineer

Washington, DC · On-site

$52 - $68.75/hr

Proficiency in Python , with the ability to write clean, maintainable, and testable code. * 2+ ... With contracts in both the public and private sectors in the DC metro area and across the country ...

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How much do contract python automation jobs pay per year?

As of Sep 8, 2026, the average yearly pay for contract python automation in the United States is $139,971.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,500.00 and $164,500.00 per year, depending on experience, location, and employer.

What is a contract Python automation engineer?

A Contract Python Automation Engineer is a professional who is hired on a temporary or project basis to design, develop, and implement automation solutions using the Python programming language. Their main duties typically involve writing scripts and creating automated processes for tasks such as software testing, data processing, system monitoring, or workflow optimization. These engineers may work remotely or onsite, and often collaborate with development, QA, or IT teams to streamline operations and improve efficiency. Contract roles offer flexibility for both employers and engineers, allowing them to focus on specific projects or timeframes.

What are the key skills and qualifications needed to thrive as a contract Python automation engineer, and why are they important?

To thrive as a Contract Python Automation Engineer, you need strong proficiency in Python programming, experience with automation frameworks, and a solid understanding of software development principles, often supported by a degree in computer science or related certifications. Familiarity with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills are crucial soft skills for this role. These skills ensure the delivery of efficient, reliable automation solutions that improve software quality and support collaborative project environments.

What are some typical challenges faced by contract Python automation engineers, and how can they best prepare for them?

Contract Python Automation engineers often encounter challenges such as quickly onboarding to new projects, understanding unfamiliar codebases, and adapting to diverse team workflows. Since contracts are typically short-term, it's important to rapidly assess project requirements and establish clear communication with stakeholders. Proficiency with popular automation frameworks and version control systems, as well as strong documentation skills, will help you integrate smoothly and deliver value quickly. Building flexibility and a proactive approach to problem-solving are crucial for success in this dynamic role.
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Contract Python Automation jobs near you
Infographic showing various Contract Python Automation job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 93% Full Time, 2% Part Time, and 4% Contract. Highlights an 80% Physical, 5% Hybrid, and 15% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Senior Python/QA Engineer

Plano, TX • On-site

Long Finch Technologies
IT Services • 51 - 200 employees
Learn more about Long Finch Technologiesexternal

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

We are seeking an experienced Senior Python/QA Engineer to serve as a quality gatekeeper across the full software delivery lifecycle. The ideal candidate will have strong expertise in Python automation, Playwright, Selenium, API testing, data validation, and CI/CD, along with experience testing modern data platforms such as Databricks and Snowflake.

Key Responsibilities
  • Develop and execute comprehensive Test Strategies, Test Plans, Test Cases, and Test Scenarios.
  • Review Business Requirements Documents (BRDs) and map requirements to testable acceptance criteria.
  • Identify requirement gaps, ambiguities, and potential quality risks before development begins.
  • Maintain a Requirements Traceability Matrix (RTM) linking BRD requirements, test cases, and test results.
  • Participate in BRD walkthroughs, requirement reviews, and stakeholder sign-off meetings.
  • Design and execute end-to-end tests covering the complete data pipeline from source systems through Databricks/Snowflake transformations to dashboard UI.
  • Validate data accuracy across Databricks Unity Catalog schemas.
  • Develop and execute SQL-based data validation scripts.
  • Build Python-based data quality and regression frameworks using Great Expectations, Deequ, or custom frameworks.
  • Validate data completeness, referential integrity, schema evolution, and data consistency across raw and curated layers.
  • Develop scalable automation frameworks using Python, Playwright, and Selenium WebDriver.
  • Perform functional, integration, regression, and end-to-end testing.
  • Conduct comprehensive REST and GraphQL API testing.
  • Validate API contracts including request/response schemas, status codes, headers, authentication, and authorization.
  • Use tools such as Bruno, Postman, Requests, HTTPX, and Swagger/OpenAPI for API validation and automation.
  • Test authentication and authorization workflows, including token validation, role-based access, and session management.
  • Validate API error handling, malformed payloads, rate limiting, timeout behavior, and 4xx/5xx responses.
  • Perform API performance and load testing using Locust, k6, or JMeter.
  • Validate API versioning, backward compatibility, and deprecation scenarios.
  • Automate API contract testing within CI/CD pipelines to identify breaking changes before deployment.
  • Validate consistency between API responses and underlying Databricks/SQL query results.
  • Track defects through resolution and ensure requirements are fully validated with no escaped defects.
  • Collaborate with developers, business stakeholders, data engineers, and other QA teams in a global delivery environment.
Required Skills & Qualifications
  • 8+ years of experience in Python and QA/automation testing.
  • Strong hands-on experience with Python automation.
  • Strong expertise in Playwright using Python, TypeScript, or JavaScript.
  • Strong experience with Selenium WebDriver.
  • Hands-on experience with API testing and API automation.
  • Strong experience with REST and GraphQL APIs.
  • Strong experience with SQL and data validation.
  • Experience testing Databricks, Unity Catalog, Snowflake, and modern data pipelines.
  • Experience building scalable automation frameworks.
  • Experience with Great Expectations, Deequ, or custom data quality frameworks.
  • Strong experience with CI/CD and DevOps practices.
  • Hands-on experience with Docker, Azure DevOps, Jenkins, and GitHub Actions.
  • Strong understanding of functional, integration, regression, system, and end-to-end testing.
  • Experience with Test Strategy, Test Planning, Test Case Design, and Test Execution.
  • Strong experience with Requirements Traceability and Defect Management.
  • Strong analytical, troubleshooting, and problem-solving skills.
  • Excellent communication and stakeholder collaboration skills.
  • Exposure to Generative AI / Agentic AI testing is a plus.

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