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Python Data Jobs in Wisconsin (NOW HIRING)

Tartan Solutions

Python is the core language at PlaidCloud. We are looking for experienced Python Software Engineers ... Experience working on large scale data analytics * Experience with Git Employment Type: FULL_TIME

Qualysoft

$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 ...

ApartmentIQ

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 ...

Rivi Consulting Group

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 ...

Innovizant LLC

Data Scientist

Madison, WI · On-site

Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional Information Thanks & Regards, Aditya Prakash / Resource Manager / Innovizant LLC Phone : 630-685 ...

Innovizant LLC

Data Scientist

Madison, WI

Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ... MS in AI/Data Science would also be a plus. Qualifications Data Science, Analysis, Python, R ...

MARS Solutions Group

Product Design Engineer

Milwaukee, WI · On-site

$127K - $152K/yr

Experience utilizing Microsoft Excel for data analysis and proficiency in MS Power BI, SQL, Python, Data Visualization, and Reporting preferred. Previous experience with ERP systems such as SAP in an ...

Pwc

GenAI Python Systems Engineer-Manager

Milwaukee, WI

$99K - $232K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... Python and SQL - Experience with Docker and containerized deployments - Skilled in AI techniques ...

Rogers Behavioral Health

Data Analyst

Oconomowoc, WI · On-site

Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. Data Extraction and Utilization: * Collaborate with the team to ...

Continuus Technologies LLC

Jr. Data Engineer

Germantown, WI · On-site

$116K - $139K/yr

Familiarity with at least one programming language (Python preferred) * Basic understanding of data warehousing concepts * Experience with Git or version control tools * Strong problem-solving and ...

Marquette University

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Experience with MLOps pipelines (DVC, Airflow, etc.) Experience with API data integrations Proficient knowledge of Python and experience building customized data pipelines Department IT Services ...

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All JobsPython Data JobsPython Data Jobs in Wisconsin

Python Data information

What is the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

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 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.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

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.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

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 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:
Python Data jobs near you
Infographic showing various Python Data job openings in Wisconsin as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Python Engineer

Allspring Global Investments Holdings, LLC

Milwaukee, WI • On-site

$100K - $130K/yr

Full-time

Posted 11 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.)
#LI-JD1
#LI-Hybrid
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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