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Freelance Python Automation Engineer Jobs in Dallas, TX

Glow Networks

Network Automation Engineer

Dallas, TX · On-site

Network Automation Engineer Location: Denver, CO (Onsite) Duration: 10 Months # Skills Compliance 1 ... Preferred 4 Working experience in software development using Python programming Mandatory 5 Working ...

MM International

Senior Network Automation Engineer

Plano, TX · On-site

$99.50K - $136.40K/yr

... Python. - Automate deployment and configuration of network functions and services across ... cloud, DevOps, and systems) to integrate automation across IMS, core network, and cloud-native ...

HDR

Infrastructure Automation Engineer 2

Dallas, TX · On-site

They are seeking an Infrastructure Automation Engineer 2 to independently develop and maintain ... and automation using Python, PowerShell, JavaScript, or similar languages. • Experience ...

New

HDR

Infrastructure Automation Engineer 1

Dallas, TX · On-site

They are seeking an Infrastructure Automation Engineer 1 to develop and maintain automation ... Python, PowerShell, JavaScript, or similar languages. • Basic understanding of APIs, REST ...

New

Xoriant Corporation

Test Automation Engineer

Plano, TX

$44.25 - $58.50/hr

Candidate will have proven experience using Selenium, Appium, along with solid programming skills in JavaScript and/or Python. Full requirements below: Responsibilities: ***** * Automation Planning ...

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$22.8K

$138.5K

$200.3K

How much do freelance python automation engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for freelance python automation engineer in Dallas, TX is $138,464.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,300.00 and $162,700.00 per year, depending on experience, location, and employer.

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

To thrive as a Freelance Python Automation Engineer, you need strong programming skills in Python, a solid understanding of automation frameworks, and experience designing efficient scripts or workflows. Familiarity with tools like Selenium, PyTest, Jenkins, and version control systems such as Git is typically required, along with relevant certifications in Python or automation. Excellent problem-solving abilities, self-motivation, and effective communication are crucial soft skills for managing client expectations and delivering quality results independently. These skills and qualities are essential to efficiently automate tasks, ensure project reliability, and maintain strong client relationships in a competitive freelance environment.

What are some common challenges Freelance Python Automation Engineers face when working with clients remotely?

Freelance Python Automation Engineers often encounter challenges such as unclear project requirements or shifting client expectations, which can lead to scope creep or delays. Communication barriers may also arise due to working across different time zones or with clients unfamiliar with technical terminology. To overcome these obstacles, it's important to establish clear project milestones, use detailed documentation, and schedule regular check-ins to ensure alignment with client goals. Building strong relationships and proactively managing expectations are key to successful remote collaborations.

What does a Freelance Python Automation Engineer do?

A Freelance Python Automation Engineer designs, develops, and implements automated solutions using the Python programming language. They often work with clients to streamline repetitive tasks, integrate systems, and improve workflow efficiency through scripting and automation tools. Their projects can range from web scraping and data processing to automating software testing or managing cloud infrastructure. As freelancers, they work independently, managing their own schedules and taking on projects from various clients. This role requires strong problem-solving skills, expertise in Python, and the ability to adapt to different project requirements.

What is the salary of Python automation engineer?

The salary of a Python automation engineer typically ranges from $70,000 to $120,000 annually, depending on experience, location, and industry. Skilled engineers with knowledge of tools like Selenium, Jenkins, or Docker may command higher salaries, especially in tech hubs or for senior roles.

What is the difference between Freelance Python Automation Engineer vs Python Developer?

AspectFreelance Python Automation EngineerPython Developer
CredentialsProficiency in Python, automation tools, scriptingProficiency in Python, software development skills, possibly certifications
Work EnvironmentFreelance projects, remote or on-site, client-specificFull-time or part-time employment, in-house or remote
Industry UsageAutomation tasks, process optimization, scripting for clientsApplication development, backend services, software solutions

Freelance Python Automation Engineers focus on automating processes and scripting for various clients, often working independently. Python Developers typically work on building software applications or systems within organizations. While both roles require Python skills, automation engineers emphasize scripting and automation tools, whereas developers focus on application development.

What are the most commonly searched types of Python Automation Engineer jobs in Dallas, TX? The most popular types of Python Automation Engineer jobs in Dallas, TX are:
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Freelance Python Automation Engineer jobs near you

NETWORK AUTOMATION ENGINEER

Purple Drive Technologies

Plano, TX • On-site

Full-time

Posted 7 days ago

Job description

Overview:
JOB DESCRIPTION:
Network Automation Engineer
5- 6 years experience
• Architect and implement playbooks, frameworks, and automated test suites that provision, monitor, and validate large-scale network topologies running Arista EOS.
• This is a hands-on role spanning software engineering, network engineering, and DevOps-owning the full SDLC, integrating with CICD pipelines, and establishing the standards, controls, and telemetry needed for a high-scale, secure automation platform.
• Collaborate across development, test, and operations to deliver frictionless self-service for internal customers while improving reliability, speed, and security.
• Design and build greenfield automation.
• Architect reusable Ansible or Python frameworks, roles, and modules for Arista EOS.
• Develop abstracted device classes or methods to provision, configure, and monitor devices at scale.
• Create maintainable automated test suites and integrate into CICD (e.g., Jenkins, GitLab CICD).
• Monitor execution, analyze failures, perform root cause analysis, and publish clear, actionable bug reports.
• Implement automation for provisioning or validation via REST, OpenConfig, gNMI, and Ansible.
• Build logging, metrics, telemetry, and security controls so the platform runs efficiently and flawlessly.
• Own or evolve security and development standards, controls, and documentation across the full SDLC.
• Translate business or technical workflows into executable Ansible or Python code and authoritative runbooks.
• Contribute to internal enablement documentation, code reviews, and mentoring on automation best practices.
• Code/Data deployment and release support
• Being able to solve problems quickly and effectively
• Willing to work in shifts and weekends
• Experience in building monitoring dashboards in Grafana, Splunk, cloud monitoring etc.,
• Create dashboard for proactive monitoring
• Automate alerts, notifications & Daemon processes
• Good RCA and communication skills
• Experience in AWS Services such as Lambda, SNS, SQS, deployment services CI/CD Pipeline, Version Control tools, Monitoring tools
• Should have experience with Docker and Kubernetes.
• Should have knowledge in automation tools like ansible, chef, puppet, Gitlab, terraform, cloud formation, etc.
• Ensuring the availability, performance, and scalability of a website or application
• Provide solution support and configuration changes across all environments.
• Deep understanding of how distributed systems work in order to be able to troubleshoot and optimize them
• Code/Data deployment and release support
• Being able to solve problems quickly and effectively
• Willing to work in shifts and weekends

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