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Python Data Jobs in Wisconsin (NOW HIRING)

Data Engineer

Milwaukee, WI

$112.80K - $135.50K/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 ...

Senior Data Analyst

Germantown, WI · On-site

$87.50K - $110.40K/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 ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/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 ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.50K/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 ...

Sr. Data Engineer

Madison, WI · On-site

$114.10K - $137.10K/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 ...

Sr. Data Engineer

Madison, WI

$115.40K - $138.50K/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 ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/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 ...

Sr. Data Engineer

Madison, WI

$114.10K - $137.10K/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 ...

AWS Data Architect

Neenah, WI · On-site

$64.50 - $82.75/hr

Proficiency in SQL and Python * Strong experience with ETL frameworks and data pipeline design * Solid understanding of data modeling techniques (3NF, Dimensional Modeling, Data Vault) * Familiarity ...

... SQL, R, Python). * Proficient in executing of the following: * Advanced statistical modeling ... Data engineering concepts * Optimization model methodologies * Forecasting model development and ...

Develop solutions in Python and SQL to solve complex problems. * Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions. * Apply modern software ...

Develop solutions in Python and SQL to solve complex problems. * Perform advanced data analysis and hypothesis testing to validate assumptions and guide modeling decisions. * Apply modern software ...

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Python Data information

See Wisconsin salary details

$13

$59

$87

How much do python data jobs pay per hour?

As of May 29, 2026, the average hourly pay for python data in Wisconsin is $59.17, according to ZipRecruiter salary data. Most workers in this role earn between $48.75 and $67.21 per hour, depending on experience, location, and employer.

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 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 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 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:
Data Engineer

$112.80K - $135.50K/yr

Other

Posted 29 days ago


Job description

MARS Solutions Group is looking for an experienced Data Engineer. Our client is an insurance firm looking for high-quality talent to make a difference. They are known to respect a traditional work week and often extend contracts for added job security and stability.

The Senior Data Engineer (DevOps/AWS Migration) - HR workforce data analytics: is responsible for designing, developing, deploying, and supporting cloud based data and software solutions across the full software development lifecycle, adhering to centrally governed CI/CD pipelines and company development standards. This role partners closely with cross functional team members to troubleshoot and resolve technical issues, conduct thorough code reviews, and contribute to architectural and technical decision making while continuously recommending improvements to development and integration practices. 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 methodologies to deliver reliable, scalable, and high quality solutions, effectively communicating complex concepts to both technical and non technical audiences and maintaining a strong focus on data quality, operational excellence, and production stability.

Primary Duties & Responsibilities

Develop and deploy applications following the software development life cycle within the guidelines and controls of company development pipeline process

Troubleshoot and resolve technical issues that may arise during the development and deployment of technical projects

Conduct thorough code reviews to ensure compliance with established coding standards and best practices

Has an evolving understanding of system-wide architectural challenges

Contribute to technical discussions and decision-making processes within the team

Interacts and aligns with members of the team on technical approach

Recommend efficiencies to current established development and continuous integration practices

Qualifications

Bachelor's Degree or equivalent experience

4+ years professional AWS experience

4+ years of experience working with modern engineering tools, languages and practices

Proven track record of delivering significant and impactful technology solutions

2+ years' professional experience with Data Integration Patterns and Tooling including ELT/ETL, EII, Replication, Event Streaming and Virtualization to support batch and real-time data needs.

Code Knowledge: Python, Apache Spark, SQL.

Experience with Agile methodologies/DevOps environment.

Strong understanding of database structures, theories, principles, and practices.

Strong understanding of Data Quality and Data Concepts.

Experience with cloud-based development, including PaaS and SaaS, and Docker and/or

Kubernetes, Infrastructure as Code and Terraform

Exposure to and understanding of CICD pipelines. Ours are centrally governed

Exposure/Understanding of automated testing concepts: unit testing and Test-Driven Development

Ability to communicate effectively to both technical and non-technical audiences

Understanding of design patterns and architecture

Nice to Haves:

Strong passion for operational excellence, problem-solving, and ownership in achieving challenging objectives

Demonstrated commitment to high standards of reliability, performance, and production stability in team-owned applications and services

Experience refining features, defining solutions, and decomposing work into actionable stories for agile teams

Ability to remain focused and overcome challenges to deliver features within committed timelines

Track record of identifying opportunities for continuous improvement and leading initiatives that enhance team performance

Bachelor's Degree or equivalent experience

3 5 years of professional software development experience

3 5+ years working with modern software engineering tools such as Kubernetes and AWS Lambda

Proficiency in Domain Data Modeling and API-first design practices

Proven track record of designing and delivering significant, impactful technology solutions

Strong communication skills with the ability to convey complex technical concepts to both technical and non-technical audiences, adapting communication style and detail as appropriate

Strong understanding of Data Quality and Data Concepts

Experience with cloud-based development, including PaaS and SaaS, and containerization tools such as Docker and/or Kubernetes

Familiarity with centrally governed CICD pipelines

Understanding of automated testing concepts, including unit testing and Test-Driven Development

About MARS Solutions Group: MARS Solutions Group provides a range of opportunities for meaningful work by understanding that employment fit is a combination of people, process, and technology. We leverage our experienced and compassionate team to bring humanity to matching you with the right advanced technology role, and stay connected with you to help you attain your professional goals.