ZipRecruiter

Log In

1

Python Data Jobs in Wisconsin (NOW HIRING)

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 ...

Foley & Lardner LLP

Data Science Engineer

Milwaukee, WI · On-site

$77K - $108K/yr

Working knowledge with core Python packages used for machine learning such as Pandas, scikit-learn ... Knowledge of SQL and data mining tools * Strong written and verbal communication and customer ...

Bespoke Labs

Data Engineer

Racine, WI · On-site

$107K - $128K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Menomonie, WI · On-site

$113K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Whitewater, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Bespoke Labs

Data Engineer

Kenosha, WI · On-site

$113K - $136K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

MARS IT

Data Engineer

Milwaukee, WI · On-site

$112K - $135K/yr

The engineer applies strong expertise in AWS, Python, Spark, SQL, data integration patterns (ETL/ELT, event streaming, and real time processing), infrastructure as code, containerization, and DevOps ...

Bespoke Labs

Data Engineer

Green Bay, WI · On-site

$111K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Farm Systems

Sr. Data Engineer

Madison, WI

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Data Warehousing * Participate in the design and implementation of data warehousing solutions to ...

Urus Group LP

Sr. Data Engineer

Madison, WI · On-site

$115K - $138K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Data Warehousing * Participate in the design and implementation of data warehousing solutions to ...

Continuus Technologies LLC

Senior Data Analyst

Germantown, WI · On-site

$87K - $110K/yr

Experience with Python or R for analysis * Knowledge of statistical methods and experimentation * Familiarity with data modeling or data engineering concepts * Domain expertise (e.g., finance, HR ...

Urus

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Data Warehousing * Participate in the design and implementation of data warehousing solutions to ...

AgSource

Sr. Data Engineer

Madison, WI · On-site

$114K - $137K/yr

Develop and maintain Databricks pipelines, notebooks, and datasets using Python, Spark, and SQL ... Data Warehousing * Participate in the design and implementation of data warehousing solutions to ...

next page

Showing results 1-20

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.
Staff Data Analyst

Staff Data Analyst

Continuus Technologies LLC

Germantown, WI • On-site

Full-time

Re-posted just now

Job description

Role Overview

The Staff Data Analyst is a senior individual contributor who drives advanced analytics, sets analytical standards, and partners closely with leadership to influence strategic decisions. This role goes beyond reporting to shape how data is used across the organization through deep insights, strong business context, and analytical mentorship.

Key Responsibilities

  • Lead complex, high-impact analyses that inform strategic and operational decisions

  • Define and standardize KPIs, metrics, and analytical best practices

  • Translate ambiguous business questions into structured analytical approaches

  • Build and maintain advanced dashboards, models, and analytical frameworks

  • Partner with executives and cross-functional leaders to guide data-driven decision-making

  • Identify trends, risks, and opportunities through proactive analysis

  • Review and elevate the work of junior and senior analysts through mentorship

  • Improve data quality, documentation, and metric governance

  • Influence analytics roadmap and tooling decisions

Qualifications

  • Bachelor's degree in Data Analytics, Statistics, Economics, Business, or related field (or equivalent experience)

  • 7+ years of experience in analytics or data-focused roles

  • Advanced SQL and strong proficiency in Excel or similar tools

  • Experience with BI and visualization platforms (Tableau, Power BI, Looker, etc.)

  • Strong statistical reasoning and analytical problem-solving skills

  • Proven ability to communicate insights to technical and non-technical audiences

Preferred Experience

  • Experience with Python or R for analysis

  • Familiarity with data modeling and data engineering concepts

  • Experience working with executive stakeholders

  • Domain expertise (e.g., finance, HR, operations, product analytics)