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Python Data Jobs in Wisconsin (NOW HIRING)

Python Tutor

Madison, WI · 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 · 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 Data Automation Testing • Selenium-Java -Testing • SQL & Database testing • Tosca Data Integrity (DI) Testing Company : ClifyX provides innovative business solutions which satisfy ...

$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 ...

... and Python coding experience • developing new TDM solutions using Gen Rocket and Delphix • creating highlevel data architecture solution designs and providing architectural insights • ...

WI · On-site

$100 - $125/hr

Python * Data Cleanup Automation * CRM Structures * System Architecture * Git * Process Flow Tools Soft Skills * Problem-Solving Ability * Project Communication Skills * Prioritization Skills ...

WI · On-site

$80 - $100/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 ...

WI · On-site

$125 - $150/hr

Strong programming skills in Python or other modern development languages such as Java or Go. * Experience with ETL processes, SQL development, and data transformation workflows. * Experience working ...

Senior Software Engineer - Data

Madison, WI · 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 ...

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

... Python, R, etc.). • Scripting (shell, python, ruby) skills for monitoring and automation. • Developing and maintaining pipelines for efficient data extraction, transformation and loading (ETL) ...

Java Software emgineer

Green Bay, WI · 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 ...

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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:

What job categories do people searching Python Data jobs in Wisconsin look for?

The top searched job categories for Python Data jobs in Wisconsin 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 Engineer

Milwaukee, WI • On-site

$100 - $125/hr

Other

Re-posted 22 days ago


Job description

Overview

Allspring Global Investments is looking for a skilled and experienced Python Engineer to join the Investor Enablement team. As part of a firmwide initiative to modernize investment technology platforms and data solutions, you will design, develop, and support enterprise-grade Python applications that enable investment, operations, and technology teams across the organization.

We currently operate in a hybrid working model, whereby you will be required to work in-office 4 days per week.

Location(s): Milwaukee, WI

Responsibilities
  • Solution Development
    • Design, develop, and implement scalable Python-based applications and services.
    • Build high-performance, multi-threaded and multi-process applications.
    • Develop and maintain RESTful APIs and integration services.
    • Create analytical and reporting solutions using Streamlit, Plotly, Bokeh, and Matplotlib.
    • Integrate applications with cloud services and enterprise systems.
    • Collaborate with stakeholders to translate business requirements into technical solutions.
  • Data Engineering & Analytics
    • Design and optimize data models and database structures.
    • Design and implement data ingestion, transformation, and distribution pipelines.
    • Process and analyze large datasets using Pandas and NumPy.
    • Build monitoring and data quality controls.
    • Support analytical and quantitative initiatives.
  • Maintenance and Support
    • Monitor and maintain production applications.
    • Troubleshoot application, integration, and data issues.
    • Implement performance tuning and optimization.
    • Participate in incident response and continuous improvement.
  • SDLC
    • Participate in Agile/Scrum ceremonies and Jira tracking.
    • Collaborate with business analysts, project managers, and developers.
    • Develop automated testing and deployment pipelines.
    • Create and maintain technical documentation.
Qualifications

Required Qualifications

  • Bachelor's degree in Computer Science, Engineering, Mathematics, Data Science, Physics, or related discipline.
  • 3-5 years of professional software development experience with Python.
  • Experience designing enterprise-grade Python applications.
  • Experience building APIs, data processing solutions, and integration services.
  • Experience working within Agile delivery teams.
  • Python 3.10+ with strong OOP and design patterns experience.
  • Experience building multi-threaded and multi-process applications.
  • Expertise with Pandas and NumPy.
  • Experience with Matplotlib, Plotly, Bokeh, and/or Streamlit.
  • Strong SQL skills with PostgreSQL, Microsoft SQL Server, and Snowflake.
  • Familiarity with NoSQL databases.
  • Experience building and consuming RESTful APIs.
  • FastAPI experience
  • Experience with Swagger/OpenAPI and Postman.
  • AWS familiarity – ECS Tasks, EC2, Lambda, IAM roles, Monitoring
  • Testing frameworks including pytest.
  • GIT and collaborative development workflows
  • CI/CD tools such as Jenkins.
  • Remain in stationary position for prolonged periods of time
  • Operate computer programs and software
  • Ability to communicate effectively with audiences in person and in electronic formats
  • Day-to-day contact with others (co-workers and/or public)
  • Ability to work in a collaborative business environment in close quarters with peers and varying interruptions

Preferred Skills

  • Quantitative finance concepts including risk metrics, performance attribution, and valuation models.
  • Experience building ETL pipelines for market and reference data.
  • Knowledge of Docker and Kubernetes.
  • Experience integrating with Microsoft Power Platform, Power BI, or Dataverse.
  • Excellent analytical and problem-solving skills.
  • Strong communication and collaboration skills.
  • Ability to work independently and manage multiple priorities.
  • Strong attention to detail and commitment to quality.

Please note: This position does not offer sponsorship for employment visas. Applicants must be legally authorized to work in the United States without sponsorship now or in the future.

Compensation

Base Pay Range: $100,000 - $130,000

Actual base salary may vary based upon, but not limited to, relevant experience, time in role, base salary internal peers, prior performance, business sector, and geographic location. In addition to base salary, the competitive compensation package may include, depending on the role, participation in an incentive program linked to performance (for example, annual discretionary bonus programs, or other annual or non-annual incentive or sales plans.)

Disclosure

We are an Equal Opportunity/Affirmative Action Employer. We consider all qualified applicants for employment regardless of age, race, color, national origin, sex, religion, veteran status, disability, sexual orientation, gender identity, or any other protected status.

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