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Python Data Jobs in Wisconsin (NOW HIRING)

WI ยท On-site

$48.75 - $67/hr

Python Developer For one of our clients, active in strong focus on sustainability and public impact ... The objective of this project is to automate a range of processes based on the principle that data ...

New

Python Tutor

Madison, WI ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Python Tutor

Milwaukee, WI ยท Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

WI ยท On-site

$85 - $120/hr

You will work on various projects, from backend services and APIs to data processing systems ... This role requires a strong understanding of Python best practices, experience with web frameworks ...

New

$52.75 - $72.75/hr

For a challenging AI and data transformation project with a client in the telecommunications sector, we are looking for an experienced Python Developer - Generative AI / RAG (m/f/d) in Vienna. The ...

WI ยท On-site

Python Developer For one of our clients, active in strong focus on sustainability and public impact ... The objective of this project is to automate a range of processes based on the principle that data ...

New

Senior Software Engineer - Data

Madison, WI ยท On-site

$140 - $180/hr

Strong experience in Ruby on Rails and Python.* **Data Ingestion Expert:** Deep understanding of large-scale data collection, including web scraping, parsing, proxy management, and structured feed ...

Senior Software Engineer - Data

Madison, WI ยท On-site

$123K - $162K/yr

Strong experience in Ruby on Rails and Python. * Data Ingestion Expert: Deep understanding of large-scale data collection, including web scraping, parsing, proxy management, and structured feed ...

WI ยท On-site

$80.58 - $115.11/hr

Het data engineering team dat jij versterkt, ontwikkelt de bouwstenen voor data pipelines op ons ... Python ; * design patterns / ontwerpen volgens best practices; * werken met AI tools als Claude ...

New

WI ยท On-site

$90 - $150/hr

Perform data acquisition, ETL, exploratory data analysis, data preparation, feature engineering ... Develop dashboards, visualizations, and analytic products using Python, Power BI, Tableau, or ...

New

Java Software emgineer

Green Bay, WI ยท On-site

$50.25 - $69/hr

Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary). Domain Understanding ...

WI ยท On-site

$90 - $120/hr

Develop high-performance APIs and support database queries, integrations, and data-driven ... Strong proficiency in Python, especially API implementation and RESTful API development. * Strong ...

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Python Data information

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

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

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

What are popular job titles related to Python Data jobs in Wisconsin?

For Python Data jobs in Wisconsin, the most frequently searched job titles are:

Infographic showing various Python Data job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Python Developer

RemoteLeads

WI โ€ข On-site

$48.75 - $67/hr

Other

Posted yesterday

New


Job description

Python Developer

For one of our clients, active in strong focus on sustainability and public impact, we are looking for an experienced Python Developer.


The objective of this project is to automate a range of processes based on the principle that data should only be entered once. The goal is to build a robust, scalable solution capable of efficiently managing a large network of sensors while ensuring data consistency, reliability, and operational efficiency.


Expert Python Developer

  • Design, develop and maintain scalable Python applications and backend services.

  • Build and integrate RESTful APIs and microservices.

  • Improve application performance, scalability and reliability.

  • Collaborate with cross-functional Agile teams throughout the software development lifecycle.

  • Contribute to CI/CD pipelines and deployment automation.

  • Write clean, maintainable and well-tested code.

  • Participate in architecture discussions and technical decision-making.

  • Troubleshoot production issues and continuously improve existing solutions.


Profile

  • 5+ years of professional Python development experience.

  • Strong knowledge of Python frameworks such as FastAPI, Flask or Django.

  • Experience designing REST APIs and microservice architectures.

  • Good knowledge of SQL (PostgreSQL or similar).

  • Experience with Docker and Kubernetes/OpenShift.

  • Familiarity with cloud platforms such as Azure or AWS.

  • Experience with Git, GitLab CI/CD or similar DevOps tooling.

  • Understanding of software design principles, testing and clean architecture.

  • Experience working in Agile Scrum teams.


ice to have

  • Experience with Kafka or other event driven architectures.

  • Infrastructure as Code experience (Terraform).

  • Knowledge of monitoring tools such as Prometheus, Grafana or ELK.

  • Experience with Linux environments.

  • Familiarity with DevOps and automation practices.

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