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Remote Python Automation Jobs (NOW HIRING)

Automation Engineer Location : Remote Duration : Contract to Hire This role is our primary automation specialist and must be able to lead automation projects. * Python: Required. * Automation:

Automation Engineer Location : Remote Duration : Contract to Hire This role is our primary automation specialist and must be able to lead automation projects. * Python: Required. * Automation:

Fully remote technical opportunity * High-impact work focused on automation and modernization * Hands-on work across SQL, Python, Power BI, ETL, and AI-assisted development * Opportunity to eliminate ...

C#, Python or Snowflake Developer

$51.50 - $71/hr

The role involves supporting the automation and modernization of legacy macro-driven processes by ... in a remote environment • Strong problem-solving and communication skills Company : Velocity ...

AI DevOps Engineer

$54 - $74/hr

Write and maintain Terraform modules, GitLab CI/CD components, and Python automation to establish ... Remote #LI-YC2

Hybrid - onsite and remote Responsibilities * Develop and support CAD automation solutions using ... Participate in transitioning toward Python-based automation frameworks to enhance productivity.

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Remote Python Automation information

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$23K

$140K

$202.5K

How much do remote python automation jobs pay per year?

As of Sep 14, 2026, the average yearly pay for remote 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 remote python automation?

A Remote Python Automation job involves using the Python programming language to create scripts or applications that automate repetitive tasks or processes. These professionals work remotely, meaning they perform their duties from outside a traditional office setting, often from home. Job responsibilities can include automating data collection, testing software, managing workflows, or integrating systems. The role requires strong coding skills in Python, familiarity with automation tools and libraries, and the ability to troubleshoot and improve automated solutions.

What are the key skills and qualifications needed to thrive in remote python automation?

To thrive as a Remote Python Automation Engineer, you need strong proficiency in Python programming, automation frameworks, and a background in computer science or a related field. Familiarity with tools like Selenium, PyTest, Jenkins, Git, and experience with CI/CD pipelines are typically required, along with relevant certifications such as Certified Python Developer. Excellent problem-solving, self-motivation, and clear communication are crucial soft skills for collaborating in a remote environment and delivering reliable results. These skills and qualities are essential for efficiently building, maintaining, and optimizing automated solutions while ensuring smooth remote teamwork and project delivery.

What are some common challenges faced by professionals in remote python automation roles, and how can they be overcome?

Professionals in remote Python automation roles often face challenges such as coordinating with distributed teams, managing time zone differences, and ensuring clear communication across asynchronous channels. Additionally, they may need to proactively address issues related to code integration, testing, and deployment without immediate in-person support. To overcome these challenges, it's helpful to utilize robust collaboration tools, maintain thorough documentation, and participate in regular virtual meetings to stay aligned with the team’s goals and progress.

What is the difference between Remote Python Automation vs Remote Data Analyst?

AspectRemote Python AutomationRemote Data Analyst
Required SkillsPython, scripting, automation toolsData analysis, SQL, Excel, visualization
Work EnvironmentSoftware development teams, automation projectsBusiness intelligence, reporting teams
Industry UsageTech, finance, manufacturingFinance, marketing, healthcare
CertificationsPython certifications, automation coursesData analysis certifications, SQL certifications

Remote Python Automation focuses on creating scripts and tools to automate tasks using Python, often within development teams. Remote Data Analysts interpret data, generate reports, and support decision-making. While both roles require analytical skills, Python Automation emphasizes scripting and automation expertise, whereas Data Analysts focus on data interpretation and visualization.

More about Remote Python Automation jobs

What cities are hiring for Remote Python Automation jobs?

Cities with the most Remote Python Automation job openings:

What are the most commonly searched types of Python Automation jobs?

The most popular types of Python Automation jobs are:

What states have the most Remote Python Automation jobs?

States with the most job openings for Remote Python Automation jobs include:

What are popular job titles related to Remote Python Automation jobs?

For Remote Python Automation jobs, the most frequently searched job titles are:

Infographic showing various Remote Python Automation job openings in the United States as of September 2026, with employment types broken down into 50% Full Time, and 50% Contract. Highlights an 100% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.

Python engineer

Atlanta, GA • Remote

Contractor

Re-posted 22 days ago


Job description

Role: Python Engineer – GenAI Agents & MCP Servers

Contract

Location: Remote

Job Description:
 

Key Responsibilities

  • Develop, maintain, and support AI agents for enterprise automation and workflow orchestration.
  • Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.
  • Integrate agents with enterprise systems using REST APIs, webhooks, and backend services.
  • Monitor system performance, logs, and tool interactions to ensure high availability.

 

Required Skills

  • Strong experience in Python for tool and agent development.
  • Hands-on knowledge of MCP framework, tool schema design, and server creation.
  • Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex).
  • Experience with API integration, JSON schemas, and backend services.
  • Familiarity with Docker, basic DevOps, and deployment processes.
  • Good troubleshooting skills and ability to work directly with customers onsite.
  • Strong communication and problem-solving skills.