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Remote Python Automation Engineer Jobs in Hesperia, CA

ABB

Protection and Control Engineer

La Verne, CA · Remote

While this is a full remote position, there is preference for candidates located in the Northern ... automation systems, including planning, coordination, and execution of new and retrofit designs.

ABB

Strategic Segment Proposal Engineer

La Verne, CA · Remote

This is a remote position. Candidates can be located anywhere in the US. This role is contributing ... and building automation. The scalable solutions aim to deliver significant sustainable and ...

Tunabear

Senior AWS Developer

Riverside, CA · Remote

Remote Work Hours : 8AM-5PM Pacific Standard Time Responsibilities * Design, develop, deploy, and support AWS-based applications using Python and Java. * Implement solutions using AWS services such ...

Wood Plc

Senior Archaeologist

Riverside, CA · Remote

$80K - $115K/yr

California, Nevada, Washington, Utah, Oregon, Idaho, Colorado, and Arizona #LI-Remote Skills ... Register of Professional Archaeologists (RPA) certification. * Field experience using established ...

Wood Plc

Architectural Historian

Riverside, CA · Remote

$35 - $40/hr

The ideal candidate will contribute to Wood's capacity in the environmental and engineering ... California, Nevada, Washington, Utah, Oregon, Idaho, Colorado, and Arizona #LI-Remote Skills ...

ABB

Program Leader Critical Industries

La Verne, CA · Remote

This is a remote position for candidates based in the United States. This role is contributing to ... Bachelor's degree in Engineering, Business Administration, or related field (or equivalent ...

All JobsPython Automation Engineer JobsRemote Python Automation Engineer JobsRemote Python Automation Engineer Jobs in Hesperia, CA

Remote Python Automation Engineer information

See Hesperia, CA salary details

$23K

$140.1K

$202.7K

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

As of Aug 18, 2026, the average yearly pay for remote python automation engineer in Hesperia, CA is $140,138.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,600.00 and $164,700.00 per year, depending on experience, location, and employer.

What is a remote Python automation engineer?

A Remote Python Automation Engineer is a software professional who specializes in creating, maintaining, and improving automated processes and workflows using the Python programming language, all while working remotely. Their main responsibilities often include writing scripts to automate repetitive tasks, building test automation frameworks, integrating APIs, and optimizing system operations. They collaborate with teams virtually, making use of tools for version control, communication, and project management. This role requires strong Python skills, familiarity with automation tools like Selenium or PyTest, and the ability to work independently in a remote setting.

What are the key skills and qualifications needed to thrive as a remote Python automation engineer?

To thrive as a Remote Python Automation Engineer, you need strong programming skills in Python, expertise in automation frameworks, and a background in computer science or related fields. Familiarity with tools such as Selenium, PyTest, Jenkins, and cloud platforms, along with automation certifications, is often required. Exceptional problem-solving, self-motivation, and effective communication are crucial soft skills for remote collaboration and troubleshooting. These abilities ensure efficient automation solutions, seamless integration with development teams, and successful delivery of high-quality software projects.

How does a remote Python automation engineer typically collaborate with cross-functional teams in a remote work environment?

As a Remote Python Automation Engineer, you'll frequently interact with developers, QA analysts, DevOps teams, and project managers using collaborative tools such as Slack, Jira, and GitHub. Effective communication is crucial for aligning on automation requirements, debugging issues, and deploying solutions. You'll often participate in virtual meetings, code reviews, and sprint planning sessions to ensure your automation scripts integrate seamlessly with broader workflows. Proactive documentation and regular updates help maintain transparency and foster smooth teamwork despite the physical distance.

What is the difference between Remote Python Automation Engineer vs Remote QA Automation Engineer?

AspectRemote Python Automation EngineerRemote QA Automation Engineer
Required CredentialsBachelor's in CS or related, Python proficiency, automation tools knowledgeBachelor's in CS or related, testing frameworks, scripting skills, Python often preferred
Work EnvironmentDevelops automation scripts, collaborates with development teams, uses Python-based toolsDesigns test cases, automates testing processes, uses testing frameworks and scripting
Employer & Industry UsageTech companies, software development, DevOps teamsSoftware companies, QA teams, product testing environments

The main difference is that Remote Python Automation Engineers focus on developing automation solutions using Python to streamline development and deployment processes, while Remote QA Automation Engineers concentrate on automating testing procedures to ensure software quality. Both roles require Python skills but serve different stages of the software lifecycle.

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Remote Python Automation Engineer jobs near you

Sr. Adobe Experience Platform (AEP) Engineer (100% Remote)

Prosum Inc.

Redlands, CA • On-site, Remote

Other

Re-posted 28 days ago

Job description

Job Description
Sr. Programmer AnalystSalary Range: $100k to $150k Overview
A leading organization is seeking a Sr. Programmer Analyst to support and optimize enterprise digital analytics and data collection initiatives. This role will focus on implementing scalable tagging solutions, managing analytics infrastructure, ensuring data integrity, and supporting cross-functional digital experience initiatives.
The ideal candidate will bring strong experience with enterprise tag management platforms, analytics ecosystems, and front-end technologies, along with expertise in governance, privacy compliance, and event-driven data architectures.
Key ResponsibilitiesTag Management & Analytics Implementation
  • Develop, implement, and maintain tagging solutions across digital platforms using enterprise tag management systems including:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Other enterprise tagging platforms
  • Configure and manage tag properties, rules, and workflows across multiple domains and environments
  • Support publishing processes and library management within AEP Data Collection
  • Design and execute scalable analytics tracking strategies and tagging standards
Data Collection & Analytics Architecture
  • Implement and maintain event-driven analytics frameworks including:
    • EDDL
    • AdobeDataLayer
  • Ensure accurate, consistent, and efficient data collection across digital properties
  • Partner with stakeholders to define tracking requirements and data layer specifications
  • Support enterprise customer journey and digital analytics initiatives
Testing, Debugging & Data Quality
  • Conduct validation, QA testing, and debugging of analytics implementations
  • Troubleshoot tagging and tracking issues to ensure data integrity and platform performance
  • Monitor analytics accuracy and tracking consistency across web environments
Cross-Functional Collaboration
  • Collaborate with:
    • Front-end engineering teams
    • UX/UI teams
    • Product managers and product owners
    • Business analysts
    • Marketing and analytics stakeholders
  • Align analytics implementation strategies with business and customer experience objectives
  • Provide support and guidance for analytics best practices and governance standards
Governance, Compliance & Documentation
  • Enforce tagging governance standards and implementation best practices
  • Ensure compliance with data privacy regulations including GDPR and CCPA
  • Create and maintain implementation documentation and tracking specifications
  • Support onboarding and training efforts related to analytics tools and processes
Required Qualifications
  • 5+ years of experience in digital analytics, tag management, or analytics implementation
  • Hands-on experience with:
    • Adobe Experience Platform (AEP) Data Collection / Adobe Launch
    • Google Tag Manager (GTM)
    • Tealium
    • Similar enterprise tag management platforms
  • Strong experience with:
    • Tag implementation
    • Testing and debugging
    • Analytics solution design and planning
  • Strong JavaScript skills related to analytics and tag deployment
  • Working knowledge of:
    • HTML
    • CSS
    • Front-end development concepts
  • Experience with data layer standards, governance, and formatting
  • Familiarity with Agile development methodologies and software development lifecycle processes
  • Strong written and verbal communication skills
  • Bachelor's degree in Computer Science, Information Systems, or related STEM field
Preferred QualificationsAdobe Analytics Ecosystem
  • Experience with:
    • Adobe Analytics
    • Adobe Experience Platform (AEP)
    • Customer Journey Analytics (CJA)
    • Customer Data Platform (CDP)
    • Adobe Web SDK implementation
Advanced Analytics & Governance
  • Understanding of Adobe Analytics concepts including:
    • eVars
    • Props
    • Success Events
    • SAINT classifications
    • Rule-based classifications
  • Experience supporting analytics governance across enterprise digital ecosystems
Technical & Automation Skills
  • Experience integrating with Adobe and third-party APIs
  • Python scripting experience for automation or analytics workflows
  • Familiarity with crawling and site analysis tools such as:
    • Screaming Frog
    • Python-based crawlers
Enterprise & Global Experience
  • Experience supporting international or multi-region analytics deployments
  • Understanding of enterprise marketing analytics and customer lifecycle measurement
  • Knowledge of privacy, compliance, and consent management considerations for analytics implementations
Additional Information
  • Opportunity to work on enterprise-scale digital analytics initiatives
  • Collaborative, cross-functional environment
  • Exposure to modern analytics platforms and customer experience technologies

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