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Python Automation Jobs in Minnesota (NOW HIRING)

Varsity Tutors

Python Tutor

Edina, MN · Remote

$18 - $40/hr

... automation, and computer science coursework. * Conceptual Teaching & Problem-Solving: Skilled at ... Familiar with Python curricula at introductory through advanced levels and common challenges such ...

RemarQable Software

Python Developer

Minneapolis, MN · On-site

$25/hr

We're currently looking for a motivated, entry-level Python developer to join us at the earliest ... Enthusiasm for AI and automation tools What We Offer * $25/hr based on experience * Direct ...

Wise Skulls

QA Automation Engineer

Saint Paul, MN · On-site

Must Detailed 1. Prior programming experience with any language like Python (preffered) or Java. 2. Experience with manual or automation testing. 3. Experience with test automation tools such as ...

Old National Bank

Automation Developer

Saint Paul, MN

$153K/yr

Design, develop, test, and deploy automation solutions using a range of tools (e.g., UiPath, Power Automate, Python, AI/ML APIs, low-code platforms). * Collaborate with business stakeholders, IT, and ...

Old National Bank

Automation Developer III

Saint Paul, MN · On-site

$153K/yr

Design, develop, test, and deploy automation solutions using a range of tools (e.g., UiPath, Power Automate, Python, AI/ML APIs, low-code platforms). * Collaborate with business stakeholders, IT, and ...

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All JobsPython Automation JobsPython Automation Jobs in Minnesota

Python Automation information

See Minnesota salary details

$22.5K

$137.1K

$198.3K

How much do python automation jobs pay per year?

As of Jul 29, 2026, the average yearly pay for python automation in Minnesota is $137,089.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,200.00 and $161,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the Python Automation position, and why are they important?

To excel in Python Automation, you need a solid understanding of programming in Python, scripting, and automation frameworks such as Selenium or PyAutoGUI, often backed by a degree in computer science or related field. Experience with version control tools like Git, familiarity with CI/CD pipelines, and sometimes certifications like ISTQB or relevant automation testing credentials are highly valued. Strong problem-solving skills, attention to detail, and effective communication stand out as crucial soft skills. These qualifications help ensure smooth automation processes, efficient workflow integration, and effective collaboration across development and QA teams.

What is a Python Automation job?

A Python Automation job involves using Python scripts and frameworks to automate repetitive tasks, workflows, or processes in various domains such as software testing, data processing, system administration, and web scraping. Professionals in this role write and maintain automation scripts, integrate them with existing systems, and optimize performance to improve efficiency. They often work with libraries like Selenium, Pandas, and PyAutoGUI, depending on the specific use case.

Can I do automation with Python?

Python Automation is a common job role that involves using Python programming to develop scripts and tools for automating repetitive tasks, data processing, and system management. It often requires knowledge of libraries like Selenium, Pandas, or PyAutoGUI, and can be performed in various environments such as Windows, Linux, or cloud platforms.

What kind of jobs use Python automation?

Python automation is used in roles such as software developers, data analysts, system administrators, and QA engineers to streamline tasks like data processing, system management, testing, and deployment. These jobs often require knowledge of scripting, APIs, and tools like Selenium, Pandas, or Ansible to improve efficiency and reduce manual effort.

What does a typical day look like for someone in a Python Automation role?

A typical day in a Python Automation position involves designing, writing, and maintaining scripts to automate repetitive or complex tasks, often in collaboration with development and QA teams. You might start by reviewing automation requirements, setting up test environments, and debugging scripts or automated pipelines. Expect regular meetings with team members to align on project goals, troubleshoot integration issues, and discuss enhancements. This role often includes documenting processes and results to ensure knowledge sharing and smooth handoffs within the team.

How much does Google IT automation with Python pay?

The salary for roles involving Python automation, such as IT automation positions, typically ranges from $70,000 to $120,000 annually depending on experience, location, and certifications. Entry-level positions may start lower, while experienced professionals with scripting and automation skills can earn higher salaries.

Is Python automation a good career?

Python automation is a strong career choice due to high demand for automation skills across industries such as IT, finance, and manufacturing. Professionals in this field typically need programming knowledge, problem-solving skills, and familiarity with tools like Selenium or Ansible. The role offers opportunities for growth, remote work, and competitive salaries.
What are the most commonly searched types of Python Automation jobs in Minnesota? The most popular types of Python Automation jobs in Minnesota are:
What are popular job titles related to Python Automation jobs in Minnesota? For Python Automation jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Python Automation jobs in Minnesota look for? The top searched job categories for Python Automation jobs in Minnesota are:
What cities in Minnesota are hiring for Python Automation jobs? Cities in Minnesota with the most Python Automation job openings:
Python Automation jobs near you
Infographic showing various Python Automation job openings in Minnesota as of July 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $137,089 per year, or $65.9 per hour.

Sr. AI QA Engineer / Lead

People Force Consulting Inc

Eden Prairie, MN • On-site

$90K - $122K/yr

Other

Posted 19 days ago

Job description

Looking for a AI Quality Engineering Lead with expertise in LLMs (OpenAI, Azure OpenAI), Agentic AI, RAG pipelines, Python automation, and AI validation frameworks, responsible for driving AI quality assurance, workflow optimization, intelligent test automation, runtime reliability, and scalable enterprise AI governance across healthcare-focused AI solutions.

Roles and Responsibilities: -

Quality Engineering Architecture & Workflow Optimization Lead architecture and technical implementation of AI Quality Engineering solutions supporting AI-powered applications, LLM-enabled workflows, intelligent automation solutions, agentic systems, and enterprise AI platforms.

Design and implement scalable AI validation frameworks, AI-assisted testing approaches, runtime quality controls, reusable testing accelerators, and workflow optimization capabilities supporting enterprise AI delivery initiatives.

Support modernization of traditional Quality Engineering practices through intelligent automation, workflow orchestration, and scalable quality engineering patterns.

Develop automated validation approaches, anomaly detection processes, testing pipelines, and quality metrics supporting governance-aligned AI deployment practices.

Design and optimize human-in-the-loop validation workflows, operational review processes, and AI quality assurance controls supporting reliable and scalable AI-enabled systems.

Partner with engineering and business teams to identify operational bottlenecks, workflow optimization opportunities, automation use cases, and scalable quality engineering improvements.

Experience: -

8+ Years

Location: -

Eden Prairie, MN(Hybrid)

Duration: -

6 Months Contract with possible extension

Educational Qualifications: -

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

Technical certification in multiple technologies is desirable.

Mandatory skills

AI Validation, Runtime Assurance & Automation Support AI validation activities, including prompt testing, workflow testing, regression testing, runtime quality assurance, and production reliability support. Partner with AI Engineering, AIOps, LLMOps, Security, Governance, Clinical, and Data teams to support scalable AI Quality Engineering and workflow automation processes across enterprise AI initiatives.

Design and support runtime quality practices, including telemetry alignment, monitoring coordination, validation processes, and runtime reliability improvement efforts.

Drive adoption of AI-assisted testing approaches, intelligent automation, reusable testing accelerators, and orchestration-aware testing practices.

Support observability and runtime visibility initiatives improving reliability, traceability, and confidence across AI-enabled systems.

Collaborate with Clinical, Operational, and Engineering stakeholders to support validation of healthcare workflows, operational processes, and AI-enabled business solutions.

Technical Enablement, Delivery & Operational Support delivery coordination activities across AI Quality Engineering and workflow optimization initiatives, including implementation planning, issue tracking, operational support, and release coordination activities.

Partner with stakeholders to evaluate implementation readiness, workflow dependencies, operational risks, automation opportunities, and quality considerations for AI initiatives. Support tooling evaluations, automation frameworks, orchestration tooling, and modernization initiatives supporting AI Quality Engineering maturity.

Help establish reusable workflow automation patterns, scalable testing assets, and engineering enablement practices across delivery teams. Support adoption of modern AI Quality Engineering and workflow optimization practices across engineering and business organizations.

Leadership, Collaboration & Continuous Improvement Lead and mentor engineers, analysts, contractors, and delivery teams while fostering a collaborative, continuously learning, and engineering-focused culture.

Communicate implementation risks, workflow optimization opportunities, technical trade-offs, and operational recommendations to technical and business stakeholders. Promote engineering discipline, continuous improvement, responsible AI adoption, and operational accountability across AI Quality Engineering initiatives.

Skills

Quality LLM, OpenAI,Azure, Python RAG Pipeline, AgenticAI.

Apply