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Python S Jobs in Minneapolis, MN (NOW HIRING)

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S. Citizenship Required (NOFORN Environment) About the Role We are seeking a Research Engineer ... Develop software primarily in Python and C++ * Work in Linux-based development environments

AI Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

... in Python based software development • Hands on experience with: o Machine Learning models and workflows o Generative AI and Large Language Models o Prompt engineering, vector databases, and ...

Senior AI Platform Engineer

Hopkins, MN

$56.25 - $72.50/hr

S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable applications using Python and microservices-based architectures * Apply secure ...

Lead AI Platform Engineer

Minneapolis, MN

$107K - $140K/yr

S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

Lead AI Platform Engineer

Hopkins, MN

$104K - $137K/yr

S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Develop scalable, maintainable applications using Python and microservices-based architectures

... python Location expectations This role requires working from a U.S. Bank location three (3) or more days per week. If there's anything we can do to accommodate a disability during any portion of the ...

S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make ... Python or similar statistical package - Thorough data compilation, programming skills and ...

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Python S information

See Minneapolis, MN salary details

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How much do python s jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python s in Minneapolis, MN is $61.19, according to ZipRecruiter salary data. Most workers in this role earn between $50.43 and $69.52 per hour, depending on experience, location, and employer.

What is the difference between Python S and Python Developer?

AspectPython SPython Developer
Required CredentialsTypically no formal certification, but familiarity with Python basicsBachelor's in CS or related field, often with Python certifications
Work EnvironmentResearch labs, academic settings, or specialized industriesTech companies, startups, or software development firms
Industry UsageUsed mainly in research, data analysis, or academic projectsDeveloping applications, web services, automation scripts
Common Search/ComparisonOften compared in academic or research contextsMore common in job listings and industry roles

Python S typically refers to a specialized or research-focused use of Python, often in academic or scientific settings, whereas Python Developer is a broader industry role focused on developing software applications using Python. While both require familiarity with Python, Python Developer roles usually demand additional programming skills and industry experience.

Are Python still in demand in 2026?

Python developers remain in high demand in 2026 due to Python's widespread use in data science, web development, automation, and machine learning. Skills in frameworks like Django or Flask and familiarity with libraries such as Pandas or TensorFlow enhance job prospects for Python programmers.

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

To thrive as a Python Software Engineer, you need strong proficiency in Python programming, problem-solving abilities, and often a degree in computer science or a related field. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically expected, along with relevant certifications like PCEP or PCAP being a plus. Effective communication, teamwork, and adaptability are vital soft skills that help engineers collaborate and respond to changing project requirements. These combined skills ensure the ability to build robust, scalable applications and contribute effectively to development teams.

Will AI replace Python coders?

Python developers are unlikely to be fully replaced by AI, as coding requires creativity, problem-solving, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist programmers by automating repetitive tasks and improving efficiency, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Staying updated with new technologies and enhancing skills in areas like machine learning and automation can help Python coders remain valuable in the evolving tech landscape.

Is Python a high paying job?

Python developers often earn competitive salaries due to the high demand for programming skills in data science, web development, and automation. Salaries vary based on experience, location, and industry, but Python roles generally offer above-average compensation compared to many other programming languages.

What are some common challenges Python Software Engineers face when working on large-scale projects?

Python Software Engineers working on large-scale projects often encounter challenges such as managing codebase complexity, ensuring code performance, and maintaining effective collaboration within cross-functional teams. As projects grow, it's crucial to implement robust testing, documentation, and version control practices to avoid technical debt. Additionally, optimizing Python code for speed and memory efficiency can be important, especially when dealing with high-traffic systems or big data. Regular communication with product managers, designers, and other developers helps ensure that project goals are met efficiently and any issues are addressed early.

What are Python Software Engineers?

Python Software Engineers are professionals who design, develop, test, and maintain software applications using the Python programming language. They work on a variety of projects, including web development, data analysis, automation, artificial intelligence, and more. Their role often involves writing clean, efficient code, collaborating with other developers or teams, and solving technical problems. Python Software Engineers are valued for their versatility, as Python is used across many industries and for diverse applications.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What are popular job titles related to Python S jobs in Minneapolis, MN? For Python S jobs in Minneapolis, MN, the most frequently searched job titles are:
What job categories do people searching Python S jobs in Minneapolis, MN look for? The top searched job categories for Python S jobs in Minneapolis, MN are:
What cities near Minneapolis, MN are hiring for Python S jobs? Cities near Minneapolis, MN with the most Python S job openings:
Research Engineer - R&D Prototyping (Python / C++)

Research Engineer - R&D Prototyping (Python / C++)

Boon Logic Inc

Minneapolis, MN • On-site

$90K - $130K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Posted 3 days ago

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Job description

U.S. Citizenship Required (NOFORN Environment)

About the Role

We are seeking a Research Engineer focused on research and rapid prototyping. This role is ideal for someone who enjoys solving hard technical problems, collaborating directly with senior technical leadership, and building proof-of-concept systems quickly.

This is not a traditional enterprise software role and does not involve production deployment or DevOps responsibilities. The work is heavily R&D-oriented and involves close collaboration with the CTO and senior technical staff in a highly interactive environment.

Role Breakdown

  • 75% Research / Prototyping
  • 25% Development
  • 0% Deployment / Production Support

Responsibilities

  • Develop rapid software prototypes for advanced technical concepts
  • Work directly with the CTO and technical leadership on R&D initiatives
  • Participate in whiteboard sessions and collaborative technical problem solving
  • Build research-oriented tools and proof-of-concept implementations
  • Develop software primarily in Python and C++
  • Work in Linux-based development environments
  • Maintain source control and collaborative workflows using Git

Qualifications

Required

  • B.S. or B.A. in Computer Science, Mathematics, Engineering, or related technical field
  • 3–5 years of relevant industry experience
  • Strong proficiency in either Python or C++
  • Functional working experience in the secondary language
  • Strong mathematical and analytical problem-solving skills
  • Experience with rapid prototyping and exploratory development
  • Linux proficiency
  • Git proficiency
  • U.S. Citizenship required
  • Must be located in or willing to relocate to Minneapolis, MN

Preferred

  • Exposure to machine learning, signal processing, or scientific computing
  • Experience working in technical R&D environments
  • Familiarity with high-performance or low-latency systems
  • Comfortable working in fast-moving and ambiguous technical environments

What We’re Looking For

We’re looking for engineers who:

  • Enjoy learning and solving difficult technical problems
  • Can move quickly from concept to prototype
  • Work well in collaborative technical environments
  • Are comfortable operating without excessive process or bureaucracy
  • Want exposure to advanced R&D work alongside experienced technical leadership

This Role Is Not For Someone Who

  • Wants a frontend or web application role
  • Prefers highly structured enterprise development environments
  • Wants a deployment-heavy or DevOps-focused position
  • Prefers maintenance work over exploratory engineering and prototyping

CORE VALUES EXEMPLIFICATION A MUST:

Leading with Transparency Builds Trust - We believe open and honest communication is paramount in building lasting and impactful relationships, both inside the company and with our customers. We strive to have a high say:do ratio. Delivering on commitments is key for long-term customer relationship, industry reputation, and thriving organizational culture.

Humility isn’t thinking less of yourself..it is thinking of yourself less - We believe asking for help isn’t a sign of weakness or inadequacy but rather a sign that one is always trying to improve and grow. Making mistakes is expected and being vulnerable when we do allows others to grow as teachers and leaders and enables us to grow personally and professionally.

Always be Hungry - We believe pioneering requires a certain grit that sees what could be and fuels the pursuit of it. It is passion for the chase that fuels our efforts and drives us to success. Hunger is what separates good from the great.

Better Together - We believe complex problem solving requires a high-performance team of individuals with a diverse set of backgrounds, talents, skills, and experiences working in collaboration. Together, alongside our customers, we can solve the most challenging problems through innovative solutions.

Company Description

Boon Logic is building the baseline intelligence layer for the physical world: technology that learns what “normal” looks like across complex real-time systems and identifies meaningful deviations without requiring massive labeled datasets, cloud dependency, or constant retraining. We believe the next major evolution of AI will not simply be bigger models in the cloud, but intelligent systems embedded throughout critical infrastructure, defense, manufacturing, energy, transportation, and autonomous platforms operating directly at the edge in real time.
As an early-stage company, Boon Logic offers engineers the opportunity to work on difficult, meaningful problems alongside deeply technical leadership while helping shape a category-defining technology platform. Our team moves quickly, prototypes aggressively, and operates with the belief that small, highly capable teams can build transformative technology that changes how machines, infrastructure, and autonomous systems understand and respond to the world around them.