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Entry Level Python Developer Jobs in Wisconsin (NOW HIRING)

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entry-level employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Collect, organize, and analyze large datasets using programming languages like R, Python, or ... Skilled at engaging with stakeholders from entrylevel employees to executive leadership. * Strong ...

Production Planner I

Middleton, WI · On-site

$55.25K - $75.97K/yr

About the Role The Production Planner I is an entry-level position responsible for creating and ... Engineering, or CIS. * Certification: APICS. * Experience using SQL, Python, R, PowerBI, Tableau.

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Entry Level Python Developer information

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How much do entry level python developer jobs pay per hour?

As of May 30, 2026, the average hourly pay for entry level python developer 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 Does an Entry Level Python Developer Do?

The job of an entry-level Python developer is to assist senior developers or project managers by writing code in the Python programming or scripting language. Their responsibilities are to help develop application software and run QA tests and debugging tools. Many developers work within a particular type of workflow method, such as Agile Scrum, and an entry-level python developer should have some knowledge of how these workflows operate. The qualifications you need to become an entry-level Python developer are a bachelor’s degree in computer science or a relevant field as well as skills using the scripting language or working with code.

What are the key skills and qualifications needed to thrive as an Entry Level Python Developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving skills, and a relevant degree or coding bootcamp experience. Familiarity with version control systems like Git, basic database management, and frameworks such as Django or Flask is typically expected. Strong communication, eagerness to learn, and teamwork abilities help you stand out in collaborative development environments. These skills and qualities are crucial for efficient code development, adaptability to new technologies, and successful project delivery.

What are some common challenges faced by entry level Python developers during their first year on the job?

Entry level Python developers often encounter challenges such as adapting to real-world codebases, understanding version control systems like Git, and collaborating effectively within a development team. Additionally, they may need to quickly learn industry-standard frameworks and tools that go beyond basic Python knowledge, such as Django, Flask, or RESTful APIs. Regular communication with senior developers and participating in code reviews are crucial for skill development and overcoming initial hurdles.

Will AI replace Python devs?

Entry level Python developers are unlikely to be fully replaced by AI, as programming requires problem-solving, creativity, and understanding of complex systems that AI currently cannot fully replicate. AI tools can assist developers by automating repetitive tasks and improving productivity, but human oversight and expertise remain essential for designing, debugging, and maintaining software. Developing skills in AI and machine learning can enhance a Python developer's value in the evolving tech landscape.
What are the most commonly searched types of Python Developer jobs in Wisconsin? The most popular types of Python Developer jobs in Wisconsin are:
What are popular job titles related to Entry Level Python Developer jobs in Wisconsin? For Entry Level Python Developer jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Entry Level Python Developer jobs? Cities in Wisconsin with the most Entry Level Python Developer job openings:
Infographic showing various Entry Level Python Developer job openings in Wisconsin as of May 2026, with employment types broken down into 4% As Needed, 22% Full Time, 65% Part Time, and 9% Contract. Highlights an 94% Physical, and 6% Remote job distribution, with an average salary of $123,073 per year, or $59.2 per hour.

Full-time

Posted 16 days ago


Job description

The Quantitative Geneticist at URUS is responsible for producing industry-leading bovine genetics through innovative quantitative genetics analysis and technical expertise. This role involves development of innovative approaches to genetic advancement with hands-on data analysis and analytical tasks to support scientific and operational excellence with operational goals to deploy genomic and genetic selection tools within the PEAK breeding program. 

Reporting to the Chief Science Officer of Acceligen, who leads the team in the Genetic Advancement and Trait Discovery as part of the Innovation group at URUS. The Quantitative Geneticist will ideally be based in Madison, WI. 

RESPONSIBILITIES 

Research and Development 

  • Support and develop proprietary genetic and phenotypic evaluations and/or indices using appropriate models and software.
  • Utilize genomic data and/or machine learning to enhance prediction models. 

  • Collect, organize, and analyze large datasets using programming languages like R, Python, or Fortran

  • Design and refine software pipelines that empower end-users to work independently. 

  • Use data-driven analysis to support project decision-making and breeding program optimization

  • Identify opportunities for innovation by actively following scientific developments in genetics, translating them into practical applications for URUS.

  • Ensure accuracy, reliability, and timely delivery of research outputs. 

 Strategic Communication and Planning 

  • Prepare materials for URUS internal and external education channels. 

  • Report on project status promptly and professionally. 

  • Contribute to long-term research and innovation strategies. 

  • Actively participate in team and cross-functional meetings. 

  • Attend scientific, technical, and commercial events to support knowledge exchange and visibility. 

Technical and Operational Support 

  • Provide technical and operational support to URUS breeding programs to improve output and efficiency. 

  • Interpret genetic evaluation results and communicate upcoming changes. 

  • Monitor and troubleshoot trends in genetic rankings and performance data. 

  • Maintain up-to-date professional and technical expertise relevant to genetics and operations. 

  • Deploy genetic diversity management tools within the breeding program. 

PROFESSIONAL QUALIFICATIONS AND EXPERIENCE 

  • Ph.D. in Breeding and Genetics, Population Genetics, Quantitative Genetics, Plant Genetics, or a related field. 

  • Knowledge of dairy or beef cattle production preferred. 

  • Technical and Scientific Expertise

    • Demonstrated experience with genomic evaluation processes, including data ingestion and integration, genotype imputation, variance component estimation, and breeding value prediction.

    • Strong background in statistical analysis of large and complex datasets.

    • Knowledge of genomewide association analysis (GWAS).

    • Familiarity with dairy or beef cattle production systems (preferred).

  • Programming and Software Skills

    • Proficiency with genetic evaluation and statistical software such as ASReml, BLUPF90, Fortran, R, Python, and SQL.

    • Experience working in cloud environments, particularly Microsoft Azure and Azure Databricks

    • Proficient in Microsoft Office applications.

  • Excellent communication skills with fluency in English.

  • Ability to build strong, effective relationships across teams and organizational levels.

  • Skilled at engaging with stakeholders from entrylevel employees to executive leadership.

  • Strong interpersonal, analytical, and decisionmaking abilities.

  • Effective timemanagement skills and the ability to balance multiple priorities.

  • Intellectual curiosity with a commitment to continuous learning and identifying new opportunities.

  • Willingness to travel occasionally.

As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS.  Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.