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Python Data Jobs in Wisconsin (NOW HIRING)

Data Scientist II/III

Madison, WI · On-site

$95 - $130/hr

Prepares data sets for analysis including cleaning/quality assurance, transformations ... Advanced proficiency with statistical software and programming languages, specifically Python and R.

New

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 ...

GenAI Python Systems Engineer-Manager

Milwaukee, WI

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

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 ...

WI · On-site

$80 - $110/hr

Software Engineer (Python) - IoT & Energy Flexibility Markets ThermoVault is a growing scale‑up ... Manage a robust pipeline to ingest real‑time data from thousands of distributed electrical assets ...

New

WI · On-site

$90 - $150/hr

Develop and maintain transformation logic and reusable data models using SQL, Python, Databricks, dbt, and related data engineering tools * Perform data wrangling, exploration, and discovery of ...

GenAI Python Systems Engineer -Senior Manager

Milwaukee, WI · On-site

$124K - $280K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager ... is a plus - Proficient in Python and structured/unstructured data - Proficient in SQL and ...

Data Crawling - Consultant

Oregon, WI · On-site

$90 - $130/hr

Build intelligent crawling workflows using Python and modern web automation frameworks. * Implement automated data validation and monitoring systems to maintain high-quality datasets. * Collaborate ...

New

Infrastructure Data Analytics Engineer

Brookfield, WI

$108K - $130K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Create Python-based solutions for: * Data extraction * Data transformation * Data quality validation * Automation workflows * API integrations * Design and maintain Alteryx workflows for data ...

Qualification - Experience Data Profiling - 5+ years Python - 3 years Database design concepts - 5+ years Excellent organization, analytical, and communication skills - 5 years Creating and reviewing ...

WI · On-site

$80 - $120/hr

We provide expertise in Azure, AWS, GCP, Snowflake, Databricks, and Python. Who is our brand new Cloud Data Engineer? As a Cloud Data Engineer, you are a valuable addition to our team. You are the ...

New

WI · On-site

$80 - $120/hr

Familiarity with advanced hybrid architecture patterns and data synchronization between cloud and ... Deepen your expertise in Rust, Python, and Qdrant while managing complex multi‑cloud deployments ...

New

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

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 ...

Showing results 41-60

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.

Collibra Data Governance Developer

Techvilla Solutions

De Forest, WI • On-site

Full-time

Posted 5 days ago


Job description

We are seeking an experienced Collibra Data Governance Developer to administer, customize, and enhance the Collibra data catalog platform. The ideal candidate will work closely with business stakeholders to understand data management processes, translate requirements into platform workflows, and develop solutions to support data governance initiatives.

This role will focus on Collibra platform configuration, workflow development, API integrations, user and asset administration, and automation using Java-based technologies. The candidate should have strong experience in data governance, data management concepts, workflow design, and application customization.

Primary Responsibilities
  • Administer and customize the Collibra Data Governance platform based on business and user requirements.
  • Configure and maintain users, roles, assets, domains, and security within Collibra.
  • Design and implement workflows using BPMN-based workflow engines such as Flowable or Activiti.
  • Develop and configure Java APIs and integrations to connect Collibra with external data sources and enterprise applications.
  • Collaborate with stakeholders to analyze business processes and translate requirements into scalable workflow solutions.
  • Customize user interfaces and optimize platform usability.
  • Support automation initiatives using scripting and programming languages including Java, Groovy, and Python.
  • Perform platform enhancements, troubleshooting, and ongoing administration activities.
  • Apply data governance and data management best practices to support enterprise data initiatives.
Required Qualifications
  • 5+ years of experience with Java and JavaScript API development.
  • 5+ years of experience with UI customization and optimization.
  • 5+ years of experience with workflow development and business process mapping.
  • 5+ years of experience in data governance, data management, or data catalog environments.
  • Experience working with Collibra platform administration and customization.
  • Strong understanding of REST APIs, integrations, and application workflows.
  • Experience with Java development tools such as Eclipse.
  • Experience with BPMN workflow frameworks (Flowable, Activiti, or similar).
Preferred Qualifications
  • Experience with Groovy scripting.
  • Python development experience.
  • Experience supporting enterprise data governance programs.
  • Knowledge of data cataloging, metadata management, and data stewardship concepts.
  • Strong analytical, problem-solving, and stakeholder communication skills.
Technical Skills
  • Collibra Data Governance Platform
  • Java
  • JavaScript
  • REST APIs
  • Groovy
  • Python (Nice to Have)
  • Eclipse
  • BPMN Workflow (Flowable / Activiti)
  • Data Governance
  • Metadata Management
  • Data Management