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Usa Python Jobs in Minnesota (NOW HIRING)

Reliability Engineer

Jackson, MN

$96K - $122K/yr

... Python are desired * Familiar with Reliability Engineering for agricultural or similar products ... USA (Onsite) We value inclusion and recognize the innovation a diverse workforce delivers to our ...

Reliability Engineer

Jackson, MN · On-site

$96K - $122K/yr

... Python are desired * Familiar with Reliability Engineering for agricultural or similar products ... USA (Onsite) We value inclusion and recognize the innovation a diverse workforce delivers to our ...

Data & Software Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... SQL, Python, command-line tools, and ETL/ELT pipelines for large datasets, including AI and ... USA, with a team of 501-1000 employees. The company is currently Late Stage.

... Python and SQL working with structured data and machine-learning frameworks; version-controlled ... Founded in 1995, the company is headquartered in Minneapolis, USA, with a team of 1001-5000 ...

Reliability Engineer

Jackson, MN · On-site

$96K - $122K/yr

... Python are desired * Familiar with Reliability Engineering for agricultural or similar products ... USA (Onsite) We value inclusion and recognize the innovation a diverse workforce delivers to our ...

Senior Data Engineer

Hopkins, MN · On-site

$107K - $146K/yr

... Python for pipeline scripting and orchestration • Cloud infrastructure experience: Azure (App ... Founded in 1979, the company is headquartered in Wilmington, USA, with a team of 1001-5000 ...

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Usa Python information

What jobs in the US pay $300,000 a year?

In the US, high-paying roles such as senior software engineers, data scientists, and machine learning engineers can reach or exceed $300,000 annually, especially with experience, advanced skills, and working in tech companies or finance. Executive positions like CTOs and CIOs also often earn this level of compensation. These roles typically require specialized expertise, certifications, and often involve leadership responsibilities.

What are the key skills and qualifications needed to thrive as a Python Developer, and why are they important?

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

Are Python still in-demand in 2026?

Python remains a highly in-demand skill for roles involving data analysis, machine learning, web development, and automation. Its versatility, extensive libraries, and widespread use across industries ensure continued demand for Python developers in 2026.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

What Python jobs are in-demand?

In-demand Python jobs include roles such as software developer, data analyst, data scientist, machine learning engineer, and backend developer. These positions often require knowledge of frameworks like Django or Flask, and familiarity with cloud platforms and version control tools. Python's versatility makes it valuable across industries like finance, healthcare, and technology.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start around $60,000, while experienced developers with specialized skills can earn over $130,000. Knowledge of frameworks, data analysis, or machine learning can influence salary levels.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

What cities in Minnesota are hiring for Usa Python jobs? Cities in Minnesota with the most Usa Python job openings:
Software Architect, AI

Software Architect, AI

Niron Magnetics, Inc.

Minneapolis, MN • On-site

Full-time

Re-posted 6 days ago


Job description

Job Summary:
Niron Magnetics is commercializing a new magnetic material and is seeking a Software Architect, AI to define and evolve the technical architecture for AI-driven systems. The role involves setting architectural direction and enabling scalable AI solutions across manufacturing, R&D, and business operations.
Responsibilities:
• Design and own the end-to-end architecture for AI and machine learning systems across data ingestion, model development, deployment, and monitoring.
• Establish architectural patterns and standards for scalable, secure, and maintainable AI platforms.
• Ensure AI systems integrate effectively with manufacturing systems (e.g., MES, ERP), laboratory tools, and enterprise software.
• Partner with Manufacturing, R&D, Quality, and Operations teams to identify high-value AI use cases (e.g., process optimization, quality prediction, anomaly detection).
• Translate business and technical requirements into robust AI system designs.
• Guide model lifecycle management, including experimentation, deployment, retraining, and performance monitoring.
• Act as a technical authority and advisor on AI architecture, best practices, and trade-offs.
• Review designs, mentor engineers and data scientists, and raise the technical bar across teams.
• Support build-vs-buy decisions and evaluate vendors, tools, and platforms.
• Work closely with software, data, and infrastructure teams to ensure architectural alignment and execution.
• Partner with IT and Security to ensure AI systems meet reliability, security, and compliance standards.
• Communicate complex technical concepts clearly to non-technical stakeholders.
Qualifications:
Required:
• 10+ years of experience in software engineering, data platforms, or AI/ML systems, with demonstrated architectural ownership.
• In-depth experience building applications on top of large language models (OpenAI, Anthropic, open-weight models, or comparable) — including prompt design, function/tool calling, structured outputs, RAG architectures, and agent frameworks.
• Demonstrated experience integrating software with enterprise systems via REST, GraphQL, message queues, webhooks, and ETL pipelines.
• Solid grounding in cloud architecture (Azure preferred), containerization (Docker), and at least one orchestration approach (Kubernetes and/or serverless preferred).
• Demonstrated skills in Python, Rust, and R.
• Strong understanding of modern AI/ML frameworks, data pipelines, cloud‑native architectures, and MLOps concepts.
• Ability to balance near‑term delivery with long‑term architectural vision.
• Excellent communication skills and comfort influencing without authority.
• Strong problem‑solving skills and comfort operating in ambiguous, early‑stage environments.
Preferred:
• Experience in manufacturing, industrial, or deep‑tech environments.
• Advanced degree in Computer Science, Engineering, Data Science, or a related field.
• Experience with edge AI, time‑series data, or physics‑informed ML.
• Passion for clean tech, sustainable materials, or climate‑positive innovation.
Company:
Niron Magnetics is reshaping American manufacturing. Founded in 2014, the company is headquartered in Minneapolis, USA, with a team of 51-200 employees. The company is currently Growth Stage.