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Freelance Python Automation Engineer Jobs in Utah

Quora

AI Automation Engineer -Remote

Ogden, UT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Orem, UT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

West Jordan, UT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Logan, UT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Quora

AI Automation Engineer -Remote

Salt Lake City, UT · On-site

$202K - $234K/yr

About the Team and Role: We're hiring our first AI Automation Engineer to lead how we apply AI ... Python, React and JavaScript * Excellent debugging skills and the ability to manage multiple ...

Two95 International Inc.

Python Developer

American Fork, UT · On-site

$45 - $62/hr

Python Developer Location : American Fork , UT/ Englewood, CO Duration : Contract (6+months) Rate ... Python scripts or automation scripting language * 1+ years of hands-on experience with test ...

Two95 International Inc.

Python Developer

American Fork, UT · On-site

$45 - $62/hr

Python Developer Location : American Fork , UT/ Englewood, CO Duration : Contract (6+months) Rate ... Python scripts or automation scripting language * 1+ years of hands-on experience with test ...

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

QA Automation Tech Lead Canopy, South Jordan, UT About Us Canopy is a fast-growing SaaS company in ... Framework & API Engineering * Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks ...

Canopy

QA Automation Tech Lead

South Jordan, UT · On-site

QA Automation Tech Lead Canopy, South Jordan, UT About Us Canopy is a fast-growing SaaS company in ... Framework & API Engineering * Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks ...

Canopy

QA Automation Tech Lead

South Jordan, UT · Remote

QA Automation Tech Lead Canopy, South Jordan, UT About Us Canopy is a fast-growing SaaS company in ... Framework & API Engineering * Next-Gen Frameworks: Overhaul and scale our Python/Pytest frameworks ...

Zions Bank

Process Automation Developer

Midvale, UT · On-site

The Process Automation Developer will be responsible for executing business initiatives, which will ... Python, C#, and SQL. Not required but preferred. * Requires a Bachelor's degree in business, data ...

New

Varsity Tutors

Python Tutor

Spanish Fork, UT · Remote

$18 - $40/hr

Ability to explain Pythonic programming conventions, decorators, and generators while preparing ... automation, and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at ...

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Freelance Python Automation Engineer information

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 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 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 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 are the most commonly searched types of Python Automation Engineer jobs in Utah? The most popular types of Python Automation Engineer jobs in Utah are:
What are popular job titles related to Freelance Python Automation Engineer jobs in Utah? For Freelance Python Automation Engineer jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Freelance Python Automation Engineer jobs in Utah look for? The top searched job categories for Freelance Python Automation Engineer jobs in Utah are:
What cities in Utah are hiring for Freelance Python Automation Engineer jobs? Cities in Utah with the most Freelance Python Automation Engineer job openings:
Freelance Python Automation Engineer jobs near you
AI & Process Automation Engineer

AI & Process Automation Engineer

CCBank

Pleasant Grove, UT • On-site

Full-time

Posted 8 hours ago

Job description

Summary
Capital Community Bank is seeking a highly motivated AI & Process Automation Engineer to serve as the Bank's first dedicated AI resource. This role is responsible for identifying, designing, building, and deploying AI-driven solutions and lightweight software tools that improve operational efficiency across the organization.
The position will embed directly with business teams, starting in Compliance, then rotating through Operations, Lending, Risk, Finance, and other areas, to discover automation opportunities and deliver measurable results. This role bridges business units, IT, and compliance to ensure AI is implemented responsibly, securely, and effectively.
Key Responsibilities
AI Opportunity Identification & Development
  • Partner with business units across the Bank to identify high-impact problems that can be solved using AI, automation, and intelligent tools.
  • Translate business needs into structured Project Charters that define estimated value, delivery timelines, and measurable success criteria.
  • Design, build, and deploy AI-powered solutions, including process automations, data extraction tools, and workflow optimizations, using both custom code, AI coding tools and existing platforms.
  • Develop lightweight, user-friendly software interfaces that enable non-technical staff to adopt and effectively use deployed solutions.
  • Continuously evaluate and improve deployed solutions based on performance data and user feedback.

AI Governance & Risk Management
  • Maintain an inventory of AI tools, use cases, and data access points across the organization.
  • Ensure all AI implementations comply with internal policies, banking regulations, data privacy requirements, and the Bank's risk management framework.
  • Collaborate with IT, Security, and Compliance to assess risks and approve new AI use cases prior to deployment.
  • Document data flows, system interactions, and AI decision-making processes for audit and regulatory readiness.

Documentation & Process Standardization
  • Create and maintain comprehensive documentation for AI workflows, configurations, and business processes.
  • Develop SOPs, training materials, and user guides for all deployed AI tools.
  • Establish repeatable, scalable processes and frameworks for future AI implementations.

Training & Adoption
  • Provide hands-on training and support to end users on AI tools and best practices.
  • Serve as the Bank's internal subject matter expert on AI, automation, and emerging technology.
  • Drive adoption through education, workshops, and ongoing support; help build an innovation-forward culture.

Performance Tracking & Reporting
  • Define and track KPIs to measure the impact of AI initiatives, including time savings, cost reduction, efficiency gains, and adoption rates.
  • Report on AI usage, adoption, and ROI to senior leadership on a regular cadence.
  • Continuously identify opportunities for improvement, expansion, and new project pipeline development.

Qualifications
Required:
  • Advanced degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a closely related field, preferred.
  • Strong programming skills in Python and experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn, or similar).
  • Ability to design and build functional, user-facing software applications (web or desktop) with clean, intuitive interfaces.
  • Experience with generative AI tools and APIs (e.g., OpenAI, Anthropic, open-source LLMs).
  • Strong documentation and process design skills.
  • Understanding of data sensitivity, security, and compliance principles.
  • Excellent communication skills with the ability to translate complex technical concepts into clear, business-friendly language.
  • Self-directed work style with the ability to manage multiple projects and stakeholders simultaneously.
  • Must pass a background check, credit check, and drug screen.

Preferred:
  • Experience in banking, financial services, fintech, or other regulated industries.
  • Familiarity with front-end development frameworks (React, Vue, or similar) for building lightweight internal tools.
  • Working knowledge of SQL, databases, and data pipeline design.
  • Understanding of compliance and regulatory technology concepts (BSA/AML, KYC, TILA, UDAAP, FFIEC guidelines).
  • Familiarity with data governance, risk management, or compliance frameworks.
  • Experience deploying solutions in cloud environments (AWS, Azure, or GCP).
  • Experience with workflow automation tools or scripting (Power Automate, Zapier, etc.).

Key Success Metrics
  • Number and quality of AI solutions successfully deployed and adopted.
  • Time and cost savings generated by deployed tools, as documented in Project Charters.
  • AI adoption rates across departments.
  • Compliance adherence, zero data incidents related to AI usage.
  • Documentation completeness and audit readiness.
  • Stakeholder satisfaction with delivered solutions.

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