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Online Python Programming Jobs in Lancaster, TX (NOW HIRING)

DevOps Engineer

Dallas, TX · On-site

$52.25 - $71.50/hr

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with ... Deploy and support Python-based , Java-based applications and AI services. * Build and manage ...

Implement Object Oriented Programming (OOP) concepts in applications. Design and develop ... Please apply online at This position is also incentive eligible. Vizient has a comprehensive ...

Senior DevOps Engineer

Dallas, TX · On-site

$128K - $165K/yr

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with ... Deploy and support Python-based , Java-based applications and AI services. * Build and manage ...

Engineering Team Lead

Irving, TX · On-site

$160K - $206K/yr

Implement Object Oriented Programming (OOP) concepts in applications. Design and develop ... Please apply online at This position is also incentive eligible. Vizient has a comprehensive ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

... offline and online vehicle level software and hardware - Develop data analysis scripts and ... Python, AWS - Technical acumen and familiarity with Linux, Google Suite, Jira, Slack and Git is ...

Lead Data Engineer - AWS

Dallas, TX · On-site

$113K - $136K/yr

... Python and PySpark skills tailored for distributed processing on AWS Company : Tiger Analytics ... for retail, social media, and online advertising sectors. Founded in 2010, the company is ...

Showing results 41-60

Online Python Programming information

See Lancaster, TX salary details

$12

$55

$81

How much do online python programming jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for online python programming in Lancaster, TX is $55.57, according to ZipRecruiter salary data. Most workers in this role earn between $45.82 and $63.12 per hour, depending on experience, location, and employer.

What is online Python programming?

Online Python programming refers to the practice of coding, running, and debugging Python programs through web-based platforms or cloud environments, rather than using local software on your computer. This allows users to write and execute Python code from anywhere with an internet connection, often leveraging collaborative tools, pre-configured environments, and integrated resources. Many platforms also offer interactive tutorials, code sharing, and project management features, making it easier to learn and work with Python online.

What are the key skills and qualifications needed to thrive as an online Python programmer?

To excel as an Online Python Programmer, you need strong proficiency in Python programming, a solid understanding of algorithms, and experience with web frameworks or data libraries, often supported by a relevant degree or coding certifications. Familiarity with tools like Git, Jupyter Notebook, Django, Flask, and cloud platforms is commonly required. Exceptional problem-solving abilities, clear communication, and self-motivation are vital soft skills for remote collaboration and independent work. These capabilities ensure high-quality, maintainable code and effective teamwork in virtual environments.

What are some typical challenges faced by online Python programming instructors, and how can I prepare for them?

Online Python programming instructors often encounter challenges such as engaging students remotely, adapting teaching materials for virtual platforms, and addressing a wide range of experience levels. To prepare, it's helpful to develop interactive lesson plans, utilize screen-sharing and collaborative coding tools, and set clear communication channels for student support. Staying organized and proactive in providing feedback can also help ensure students remain motivated and on track throughout the course.

What is the difference between Online Python Programming vs Data Analyst?

AspectOnline Python ProgrammingData Analyst
Required SkillsPython, coding, problem-solvingData interpretation, Excel, SQL, Python (optional)
Work EnvironmentOnline, remote, self-paced learningOffice or remote, data-focused tasks
Industry UsageProgramming, software development, automationBusiness, finance, marketing, research

Online Python Programming primarily involves learning and practicing Python coding skills, often in a self-paced online setting. Data Analysts use Python as a tool to analyze data, but their role also includes interpreting data insights and reporting. While both roles may overlap in Python skills, Online Python Programming focuses on coding proficiency, whereas Data Analysts focus on data-driven decision-making.

Are online Python programmers still in demand?

Online Python programmers are still in high demand due to Python's versatility in web development, data analysis, machine learning, and automation. Employers seek professionals with strong coding skills, experience with frameworks like Django or Flask, and knowledge of libraries such as Pandas or TensorFlow. The role often requires proficiency in version control and problem-solving skills, making it a valuable skill set in the current job market.

Can I get an online job after learning Python?

Online Python programming skills can qualify you for remote jobs such as software developer, data analyst, or automation engineer. Employers often look for proficiency in Python, problem-solving, and familiarity with tools like Git and cloud platforms, which can be gained through online courses and projects.

Which online Python programming job is in demand?

Online Python programming jobs in demand include roles such as software developer, data analyst, and machine learning engineer. These positions often require proficiency in frameworks like Django or Flask, and knowledge of data analysis libraries such as Pandas and NumPy. Demand is high in industries like technology, finance, and healthcare, with remote work opportunities increasing for Python developers.

What cities near Lancaster, TX are hiring for Online Python Programming jobs?

Cities near Lancaster, TX with the most Online Python Programming job openings:

DevOps Engineer

Copart, Inc.

Dallas, TX • On-site

$52.25 - $71.50/hr

Full-time

Re-posted 15 days ago


Copart rating

6.8

Company rating: 6.8 out of 10

Based on 108 frontline employees who took The Breakroom Quiz

12th of 19 rated auctioneers


Job description

Copart, Inc. a technology leader and the premier online vehicle auction platform globally, with over 200 facilities located across the world, Copart links vehicle sellers to more than 750,000 buyers in over 190 countries. We believe in providing an unmatched experience, every day and everywhere, driven by our people, processes, and technology.
Position Overview
We are seeking a highly skilled Mid-Level to Senior DevOps Engineer with hands-on experience building, deploying, operating, and supporting modern AI, Machine Learning, and Agentic applications. The ideal candidate will have strong expertise in cloud and on-premises infrastructure, Kubernetes, containerization, microservices, MLOps, CI/CD automation, and production operations.
This role requires an engineer who can partner closely with Product, Engineering, Data Science, AI and IT Security teams to design, deploy, scale, secure, and maintain mission-critical applications while ensuring operational excellence and adherence to DevOps best practices.
The position includes responsibility for production support, infrastructure automation, platform reliability, and continuous improvement of deployment and operational standards.
Key Responsibilities
Platform Engineering & DevOps
  • Design, build, automate, and maintain DevOps platforms supporting AI, ML, Agentic, and traditional applications.
  • Deploy, containerize, and manage applications using Docker and Kubernetes across both on-premises and cloud environments.
  • Develop Infrastructure as Code (IaC) solutions for repeatable, scalable, and secure deployments.
  • Build and maintain CI/CD pipelines that support rapid and reliable application releases.
  • Define and implement DevOps standards, deployment frameworks, operational procedures, and platform best practices.
  • Automate environment provisioning, application deployment, monitoring, and operational workflows.

AI / MLOps / AIOps
  • Deploy, manage, and optimize AI/ML workloads in production environments.
  • Support LLM-based, Agentic AI, Retrieval-Augmented Generation (RAG), and AI workflow platforms.
  • Manage and optimize GPU-based infrastructure for AI training and inference workloads.
  • Collaborate with Data Science and AI Engineering teams to operationalize machine learning models.
  • Implement MLOps practices including model deployment, versioning, monitoring, rollback strategies, and lifecycle management.
  • Utilize AIOps techniques for proactive monitoring, anomaly detection, incident response, and operational optimization.

  • Assist in performance tuning and resource optimization of AI/ML applications.

  • Evaluate, customize, and deploy AI coding agents (e.g., Cursor, Claude Code, Codex) tuned to Coparts's monorepo, conventions, and internal libraries.

  • Build custom agents for tasks.

  • Own and operate the end-to-end internal AI stack from model selection and integration to deployment and monitoring.

Application Deployment & Operations
  • Deploy and support Python-based , Java-based applications and AI services.
  • Build and manage workflows using tools such as n8n and related automation platforms.
  • Troubleshoot deployment, performance, scalability, and reliability issues across distributed systems.
  • Maintain highly available production environments with a focus on uptime, security, and performance.

  • Develop operational runbooks, deployment documentation, and support procedures.

  • Build and maintain custom AI agents and LLM-powered tools tailored to Copart's engineering workflows.

Production Support & Reliability
  • Provide day-to-day support for production applications and infrastructure.
  • Participate in release activities, maintenance windows, upgrades, and production deployments, including support during extended hours when required.
  • Perform root cause analysis (RCA) and implement preventive measures to reduce recurring incidents.
  • Monitor system health, performance, capacity, and availability.
  • Collaborate with engineering teams to improve observability, alerting, and operational readiness.

Collaboration & Requirements Gathering
  • Work closely with Product Managers, Architects, Software Engineers, Data Scientists, and Business Stakeholders.
  • Participate in requirements gathering, solution design, and infrastructure planning.
  • Ensure applications and platforms are built according to organizational DevOps, security, reliability, and operational standards.
  • Establish and maintain deployment, monitoring, and support standards across teams.

Required Qualifications
  • 5+ years of experience in DevOps, Platform Engineering, Site Reliability Engineering (SRE), or Infrastructure Engineering roles.
  • Proven experience supporting production applications in enterprise environments.
  • Strong hands-on experience with:
    • Kubernetes (on-premises and cloud)
    • Docker containerization
    • Linux system administration
    • Python application deployment and operations
    • CI/CD pipeline development and automation
    • Infrastructure automation and configuration management
  • Experience deploying and supporting AI, ML, or Agentic applications in production.
  • Experience operating GPU-based infrastructure for AI workloads.
  • Strong understanding of MLOps concepts and practices.
  • Experience with AI model deployment, monitoring, and operational support.
  • Experience supporting production releases, maintenance activities, and incident management.

#L1-MS1
At Copart, we are focused on harnessing the power of diversity, inclusion, and collaboration. By embracing diverse perspectives, we open doors to innovation and unleash the full potential of our team. We are dedicated to fostering a workplace where everyone feels appreciated, included, and inspired to grow and contribute meaningfully.
E-Verify Program Participant: Copart participates in the Department of Homeland Security U.S. Citizenship and Immigration Services' E-Verify program (For U.S. applicants and employees only). Please click below to learn more about the E-Verify program:
  • E-verify Participation
  • Right to Work

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