Explore 3 python software engineer jobs from 3 hiring companies in Fountain City, WI, US. Filter by remote, salary, experience, and company, then open any listing to apply.

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Python Software Engineer Jobs

Ellingson Companies

Mayo Clinic

Nelnet

Hybrid

Remote

Ellingson is hiring for an Automation Developer to join their growing team. Ellingson is a stable, family values-based company that specializes in underground solutions throughout Southern Minnesota and the entire United States.
Our benefits include:
·         Paid Time Off
·         Health, Dental, and Vision Insurance
·         401(k) match
 
The Automation Developer will be responsible for the following:
·         Build & maintain workflow automations between applications (Workato, Power Automate, etc.)
·         Develop custom ArcGIS widgets and apps
·         Explore emerging technologies in automation, AI, and GIS, bringing forward creative ideas to enhance operations.
·         Work directly with employees to identify challenges, brainstorm approaches, and implement innovative solutions
·         Create data views, reports and dashboards
 
Requirements:
·         Bachelor’s degree in computer science, data Science, or related field.
·         Proficiency with scripting/programming languages such as Python, JavaScript, or C#.
·         Understanding of relational database platforms and SQL.
·         Familiarity with automation platforms (Power Automate, Workato, Zapier, etc.).
·         Interest or exposure to AI/ML development (chatbots, agents, or automation frameworks).
·         Strong communication and collaboration skills.
 
 
A full job description will be available upon request during the interview process.
 
Ellingson is a Drug Free and Equal Opportunity Employer.

Automation Developer (Hybrid)

Automation Developer

Bachelor’s degree in computer science or related field; proficient in Python, JavaScript, or C#; SQL; familiarity with automation platforms; interest in AI/ML; strong communication.

AI/ML Engineers at Mayo Clinic play a pivotal role in the union of data, systems, and computer sciences. They work closely with a multidisciplinary team, including clinicians, user experience designers, product managers, IT professionals, and external partners, to develop and deploy effective, efficient, and ethical AI/ML solutions into clinical practice to enhance patient care and operational efficiency. &nbsp;As a Senior AI/ML Engineer, you may work on the full spectrum of the AI life cycle from ideation to production. You understand the clinical environment well, including workflows, challenges, and requirements of healthcare providers and patients. You will leverage advanced techniques in AI/ML to analyze vast amounts of healthcare data, including patient records, medical imaging, and genomic information, to develop AI solutions that meet clinical needs and are integrated smoothly into clinical processes. You will develop, integrate, and standardize software components and create, maintain, and follow quality system procedures. You will guide the engineering of systems that are pivotal to developing and deploying these solutions, which encompass everything from design requirements, development, component creation, verification, non-clinical validation, and risk mitigation to ensure our digital health technology products meet and exceed regulatory requirements and setting new benchmarks for safety and effectiveness in clinical settings. Your expertise will also extend to facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines.&nbsp; This role is instrumental in providing consultative services to departments and divisions, offering insights into complex business problems. Your ability to communicate complex findings in easily understandable terms to non-technical users will bridge the gap between sophisticated AI technologies and clinical applications.•&nbsp;&nbsp;&nbsp;Leading component design, development, integration, and standardization to create AI-driven solutions that seamlessly integrate into clinical practice to enhance patient care and clinic operations. •&nbsp;&nbsp;&nbsp;Collaborating with a multidisciplinary team, including clinicians, user experience designers, product managers, and IT professionals, to understand user needs, workflows, and clinical requirements and assess feasibility. Translating user feedback and requirements into design concepts and usability specifications for AI solutions. •&nbsp;&nbsp;&nbsp;Leveraging machine learning techniques such as deep learning, natural language processing, computer vision, large language models, etc., to lead the design, development, and deployment of end-to-end AI solutions for healthcare applications. •&nbsp;&nbsp;&nbsp;Establishing evaluation methodologies and performance metrics to assess AI solutions' effectiveness, usability, and impact in real-world healthcare settings. •&nbsp;&nbsp;&nbsp;Explaining data analysis results to guide strategic choices and clarify complex insights for non-technical users to connect AI technologies and clinical applications.&nbsp; •&nbsp;&nbsp;&nbsp;Overseeing the engineering of systems crucial for developing and deploying AI solutions. •&nbsp;&nbsp;&nbsp;Facilitating consistent and automated AI software solution development and releases through the design, testing, and maintenance of tools and associated CI/CD pipelines. •&nbsp;&nbsp;&nbsp;Contributing to implementing the best practices and standards for AI development and deployment methodologies, tools, and platforms. •&nbsp;&nbsp;&nbsp;Providing mentorship, guidance, and technical leadership to junior engineers within the AI enablement team.&nbsp; •&nbsp;&nbsp;&nbsp;Providing consultative services on areas of expertise to clinical work units or AI product teams, offering insights and strategies to address complex business problems. •&nbsp;&nbsp;&nbsp;Providing training and education to healthcare staff on AI tools and technologies. •&nbsp;&nbsp;&nbsp;Contributing to developing new AI methods and technologies that can advance the state-of-the-art in healthcare AI.&nbsp;This position is a combination of remote and on-site work; individual must live within driving distance to the Rochester Mayo Clinic campus.**Visa sponsorship is not available for this position. &nbsp;Also, Mayo Clinic DOES NOT participate in the F-1 STEM OPT extension program. &nbsp;<h3>Qualifications</h3><div>• &nbsp; A master’s degree in engineering, computer science, mathematics, health science, or a related field with 4 years of experience, a bachelor’s degree with 6 years of experience.&nbsp; • &nbsp; Extensive experience applying AI and machine learning in production healthcare environments or similar highly regulated or technology focused industries, showcasing an understanding of healthcare technology. • &nbsp; Demonstrated leadership in managing complex projects, with a proven ability to navigate intricate project requirements and deliver successful outcomes. • &nbsp; Proficiency in fostering collaboration across diverse teams and effectively communicating complex technical concepts to non-technical stakeholders. • &nbsp; Demonstrated expertise in cloud infrastructure environment and software development tools. • &nbsp; Experience working with large, complex, and heterogeneous data sets, preferably in healthcare.&nbsp; • &nbsp; Skilled in AI/ML techniques and frameworks. • &nbsp; Familiarity with best practices in data engineering, data science, AI Engineering, and the MLOps communities. • &nbsp; Demonstrated initiative in administration, education, software development, and technical reporting.&nbsp; • &nbsp; A commitment to mentoring and training less-experienced team members, coupled with strong interpersonal, communication, and time management skills.
 Preferred Qualifications:&nbsp; • &nbsp; A Ph.D. or other doctorate is preferred.&nbsp; • &nbsp; Strong expertise in AI/ML techniques and frameworks, such as deep learning, natural language processing, and Generative AI, with proficiency in tools like Python, TensorFlow, PyTorch, sci-kit-learn, Keras, etc. • &nbsp; Knowledge of the healthcare domain, including clinical workflows, electronic health records, medical terminologies, regulatory requirements, and industry standards. • &nbsp; Familiarity with systems or quality engineering best practices, regulatory standards, and compliance frameworks, with the ability to adapt these effectively to different project scenarios. • &nbsp; Demonstrated experience leading technical/quantitative teams in a regulated environment. • &nbsp; Demonstrated experience creating risk management files and verification/validation strategies for digital health technology products within the healthcare industry. • &nbsp; Strong expertise in user-centered design, human factors engineering, usability testing methodologies, and evaluation across AI product development. Ability to conduct expert reviews using established usability practices and methods. Presents findings in easy-to-understand terms for the business or clinical practice. &nbsp;</div><h3>About Company</h3><div><div>
 Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives.&nbsp;<a href="https://jobs.mayoclinic.org/alllocations" target="_blank" rel="nofollow">Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is.</a>&nbsp;
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<div>
 
 <div>
 Equal Opportunity
 </div>
 <div>
 All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the&nbsp;<a href="https://www.eeoc.gov/poster" target="_blank">"EOE is the Law"</a>.&nbsp; Mayo Clinic participates in&nbsp;<a href="https://www.e-verify.gov/sites/default/files/everify/posters/EVerifyParticipationPoster.pdf" target="_blank">E-Verify</a>&nbsp;and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.
 </div>
</div></div><h2>Company</h2><div><div>
 Why Mayo Clinic
</div>
<div>
 Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News &amp; World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and&nbsp;<a href="https://jobs.mayoclinic.org/benefits/" target="_blank" rel="nofollow">comprehensive benefit plans</a>&nbsp;– to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.
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<div>
 Benefits Highlights 
 <ul>
 <li>Medical:&nbsp;Multiple plan options.</li>
 <li>Dental:&nbsp;Delta Dental or reimbursement account for flexible coverage.</li>
 <li>Vision:&nbsp;Affordable plan with national network.</li>
 <li>Pre-Tax Savings:&nbsp;HSA and FSAs for eligible expenses.</li>
 <li>Retirement: Competitive retirement package to secure your future.</li>
 </ul>
</div></div>

Senior AI-ML Engineer

Master’s in engineering/CS/math with 4+ years, or Bachelor’s with 6+ years; extensive AI/ML in healthcare or regulated industries; leadership; cloud, data, and AI engineering expertise; mentoring.

Nelnet is a diversified and innovative company committed to enriching lives through the power of service as a student loan servicer, professional services company, consumer loan originator and servicer, payments processor, renewable energy solutions, and K-12 and higher education expert. For over 40 years, Nelnet has been serving its customers, associates, and communities.The perks of working at Nelnet go beyond our benefits package. When you join the Nelnet team, you&#39;re part of a community invested in the success of each individual. That support comes through in our work, as we are united by our mission of creating opportunities for people where they live, learn, and work.The Cybersecurity AI Automation Engineer at Nelnet plays a critical role in advancing the organization's cybersecurity capabilities through intelligent automation and AI-driven solutions. This position partners closely with cybersecurity and internal teams to design, build, and deploy automated workflows that increase operational efficiency, reduce manual effort, and surface actionable insights. This role requires strong technical acumen, practical problem-solving, and a collaborative mindset to deliver scalable solutions within Nelnet's AI infrastructure. You will: •	Design and deploy AI-powered automation pipelines that support operational workflows. •	Integrate automation solutions within Nelnet's existing AI infrastructure — LLM APIs, orchestration platforms, and workflow tooling. •	Consult with internal teams to eliminate manual, repetitive processes across cybersecurity operations through scalable AI solutions. •	Apply DevSecOps principles throughout the software delivery lifecycle. •	Collaborate with stakeholders to translate business and compliance requirements into well-scoped automation solutions. •	Continuously evaluate emerging AI and automation capabilities for opportunities across cybersecurity team workflows.AI Automation &amp; Solutions Engineering<ul><li>Design, develop, and deploy AI-powered automation pipelines and tools that support cybersecurity and partner teams, with an emphasis on operational workflows and business processes.</li><li>Build and integrate automation solutions within Nelnet&#39;s existing AI infrastructure, including LLM APIs, orchestration platforms, and workflow tooling, to ensure consistency, reuse, and long-term maintainability.</li><li>Consult with internal teams to eliminate manual, repetitive processes by engineering scalable AI solutions that drive measurable workflow efficiencies.</li><li>Apply DevSecOps principles throughout the software delivery lifecycle, embedding security, testing, and quality practices into every phase of solution development and deployment.</li><li>Collaborate with business stakeholders to translate business and compliance requirements into well-scoped automation solutions, ensuring delivered tools align with risk program objectives and audit expectations.</li><li>Continuously evaluate emerging AI and automation capabilities to identify opportunities for improvement across cybersecurity team workflows and tooling.</li></ul>Innovation<ul><li>Bring a solutions-engineering mindset to cybersecurity challenges, exploring practical and creative applications of AI beyond conventional approaches.</li><li>Prototype and iterate on automation concepts quickly, validating feasibility in Nelnet&#39;s environment before scaling to production-ready solutions.</li><li>Stay current on developments in AI, LLM tooling, and automation frameworks, proactively introducing relevant advancements that could benefit cybersecurity operations.</li></ul>Agility<ul><li>Operate effectively in a fast-moving environment, adapting solutions as team needs, infrastructure capabilities, and security priorities evolve.</li><li>Manage multiple concurrent automation initiatives, balancing stakeholder urgency with the rigor required for reliable, production-grade delivery.</li><li>Work across domains with strong engineering fundamentals, quickly building context in cybersecurity and business processes.</li></ul>Problem Solving<ul><li>Analyze complex, manual cybersecurity workflows to identify root inefficiencies and design automation solutions that address them at the process level, not just the task level.</li><li>Troubleshoot issues across the full automation stack, from data ingestion and model integration to pipeline execution and output delivery and resolve them efficiently.</li><li>Approach ambiguous or novel use cases with structured thinking, breaking down large problems into actionable engineering work with clear outcomes.</li></ul>Collaboration<ul><li>Partner closely with cybersecurity and stakeholder teams to understand workflow pain points and define automation requirements.</li><li>Work alongside platform, infrastructure, and AI teams to ensure solutions are aligned with architectural standards and leverage shared capabilities.</li><li>Act as a bridge between technical implementation and business stakeholders, translating engineering decisions into clear, accessible language.</li><li>Mentor peers on AI automation capabilities and emerging tooling relevant to cybersecurity operations.</li></ul>Communication Skills<ul><li>Communicate clearly with both technical and non-technical audiences, adapting depth and framing to suit the audience.</li><li>Document automation solutions thoroughly, including design decisions, integration dependencies, and operational runbooks to ensure maintainability.</li><li>Present work in progress and completed solutions clearly, incorporating feedback and demonstrating responsiveness.</li></ul>Strategic Focus<ul><li>Align automation efforts to Nelnet&#39;s broader cybersecurity strategy and AI infrastructure investments, ensuring solutions contribute to long-term program goals.</li><li>Prioritize high-impact opportunities that reduce risk, improve consistency, and free up capacity for higher-value work.</li><li>Design solutions with scalability and reuse, enabling adoption across teams and use cases.</li><li>Serve as a trusted advisor on AI automation and help shape how cybersecurity teams adopt and benefit from these capabilities.</li></ul>EDUCATION: Knowledge equivalent to the completion of a Bachelor&#39;s degree in Computer Science, Software Engineering, Information Systems, or a related field of study.EXPERIENCE:<ul><li>2–4 years of experience in AI/ML engineering, automation development, solutions engineering, or DevOps/DevSecOps.</li><li>Hands-on experience building and integrating with LLMs or AI APIs (e.g., OpenAI, Anthropic, Azure OpenAI, or open-source models).</li><li>Proven experience developing automated workflows, data pipelines, or AI-driven solutions in production environments.</li><li>Experience with AI orchestration frameworks (e.g., LangChain, LlamaIndex, n8n, or similar) and prompt engineering practices.</li><li>Experience with GRC or risk/compliance process automation is a plus.</li><li>Security certifications (Sec&#43;, CISSP, etc.) not required but is a plus.</li></ul>COMPETENCIES – SKILLS/KNOWLEDGE/ABILITIES:Required:<ul><li>Proficiency in Python or a comparable language for building AI and automation solutions.</li><li>Experience integrating LLMs and AI APIs into enterprise workflows and tooling.</li><li>Experience building and maintaining automated pipelines, including data ingestion, transformation, and output delivery.</li><li>Familiarity with DevSecOps principles and secure software development practices.</li><li>Working knowledge of AI orchestration tools and the ability to evaluate and adopt new technologies as the landscape evolves.</li><li>Strong communication skills, with the ability to translate business needs into technical solutions.</li><li>Ability to work within existing AI infrastructure to identify inefficiencies and deliver scalable improvements.</li><li>Excellent organizational, presentation, verbal, and written communication skills.</li><li>Ability to assess and clearly communicate complexity, trade-offs, and technical decisions to both engineering and management stakeholders.</li><li>Demonstrated ability to stay current with emerging technologies and adapt to evolving business and technical environments.</li></ul> Preferred:<ul><li>Experience with GRC platforms such as ServiceNow, Archer, or similar.</li><li>Familiarity with cybersecurity domains (e.g., vulnerability management, compliance) or exposure to operational security workflows.</li><li>Cloud infrastructure experience (AWS, Azure, or GCP), particularly in deploying or managing AI/ML services.</li><li>Experience with compliance or business process automation use cases.</li><li>Knowledge of cyber defense operations or security tooling ecosystems.</li></ul>Please note that we are unable to provide visa sponsorship for this position. To be considered, candidates must already be authorized to work in the United States without the need for current or future sponsorship.**Pay Range for this role is - $100,000 - $135,000Our benefits package includes medical, dental, vision, HSA and FSA, generous earned time off, 401K/student loan repayment, life insurance &amp; AD&amp;D insurance, employee assistance program, employee stock purchase program, tuition reimbursement, performance-based incentive pay, short- and long-term disability, and a robust wellness program. Click here to learn more about our benefits: <a href="http://nelnetinc.com/careers/benefits/" target="_blank">LINK</a>.Nelnet is committed to providing a welcoming and respectful workplace where all associates have the opportunity to succeed. As an Equal Opportunity Employer, we ensure that all qualified applicants are considered for employment. Employment decisions are made without regard to race, color, religion/creed, national origin, gender, sex, marital status, age, disability, use of a guide dog or service animal, sexual orientation, military/veteran status, or any other status protected by federal, state, or local law. We value the unique contributions of every team member and believe that a positive work environment benefits everyone.  Qualified individuals with disabilities who require reasonable accommodations in order to apply or compete for positions at Nelnet may request such accommodations by contacting Corporate Recruiting at 402-486-5725 or <a href="mailto:corporaterecruiting&#64;nelnet.net" target="_blank">corporaterecruiting&#64;nelnet.net</a>.Nelnet is a Drug Free and Tobacco Free Workplace.

CyberSecurity AI Automation Engineer

2–4 years in AI/ML engineering, automation development, or DevOps/DevSecOps; hands-on with LLMs/AI APIs; experience building automated workflows and data pipelines; knowledge of AI orchestration and DevSecOps.

Python Software Engineer Jobs in Fountain City, WI, US | HiringCafe: every job on earth

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