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Usa Python Jobs in Wisconsin (NOW HIRING)

Data Engineer I

Green Bay, WI · On-site

$111K - $133K/yr

... Python, Java, or Scala for data processing (Python preferred) • Familiar with data-related Python packages (pandas, NumPy) • Basic understanding of SQL and relational databases • Basic ...

Web Developer Intern

Milwaukee, WI · On-site

$19 - $25/hr

Milwaukee, Wisconsin, USA, 53204-2941 | Milwaukee, Wisconsin, USA, 53204-2941 Requisition ID: 35741 ... Knowledge of Kotlin, Java, C#, .NET core, or python programming language(s). * Strong problem ...

Company Description Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT ... Extremely efficient in Python and R. Extremely efficient in identifying right analytics model ...

Company Description Innovizant LLC (headquartered in Chicago, USA) is a leading-edge, global IT ... Qualifications Data Science, Analysis, Python, R, Statistical Modeling, Machine Learning Additional ...

Software Engineer 2 - DevOps

Brookfield, WI · On-site

$50 - $68.50/hr

... scripting, YAML, Python, Rancher, Kubernetes and container principals, API principals, and ... S. Founded in 1968, the company is headquartered in Minneapolis, USA, with a team of 10001 ...

Senior Staff Cloud Infrastructure Engineer

Madison, WI · On-site

$109K - $148K/yr

... in Python and JavaScript-based applications Company : findhelp is a technology for connecting ... Founded in 2010, the company is headquartered in Austin, USA, with a team of 201-500 employees. The ...

... Python, or PowerShell • Microsoft Power Platform or Azure certifications (PL-900, PL-100/200, PL ... Founded in 1947, the company is headquartered in Oshkosh, USA, with a team of 1001-5000 employees.

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Usa Python information

What jobs in the US pay $300,000 a year?

In the US, high-paying roles such as senior software engineers, data scientists, machine learning engineers, and IT directors can earn $300,000 or more annually, especially with extensive experience, advanced skills in programming and cloud platforms, and leadership responsibilities. These positions often require advanced degrees, certifications, and a strong track record in the technology industry.

Will AI replace Python coders?

AI is unlikely to fully replace Python coders, as human expertise is essential for designing, debugging, and maintaining complex software. Python developers will continue to be needed to create and improve AI tools, integrate systems, and handle tasks requiring critical thinking and creativity. Staying updated with AI and machine learning skills can enhance a Python coder's job prospects.

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

To thrive as a Python Developer, you need strong programming skills in Python, understanding of software development principles, and often a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are typically required. Problem-solving ability, attention to detail, and effective communication are essential soft skills for collaborating with teams and troubleshooting code. These skills and qualifications ensure the delivery of robust, scalable, and maintainable software solutions.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for many roles, including data analysis, web development, and automation, with strong industry adoption and a large community. Its versatility and widespread use in emerging fields like artificial intelligence and machine learning ensure continued demand for Python developers in 2026.

What are some common challenges faced by Python developers working in the USA, and how can they overcome them?

Python developers in the USA often encounter challenges such as keeping up with rapidly evolving technologies, integrating Python with legacy systems, and collaborating across multidisciplinary teams. To overcome these hurdles, it's important to stay updated with industry trends through continuous learning, participate in code reviews, and leverage robust testing practices. Additionally, effective communication and teamwork are vital for integrating solutions and ensuring project success in diverse, agile environments.

What does a Python developer do in the USA?

A Python developer in the USA primarily writes, tests, and maintains code using the Python programming language. They work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design software solutions, debug applications, and ensure the performance and scalability of their code. Their roles can vary depending on the industry, ranging from building backend web services to analyzing big data or developing artificial intelligence models.

How much do Python programmers make in the US?

Python programmers in the US typically earn an average salary ranging from $70,000 to $120,000 annually, depending on experience, location, and industry. Entry-level roles may start around $60,000, while senior positions with specialized skills or certifications can exceed $130,000. Knowledge of frameworks, data analysis, or machine learning can influence earning potential.

What is the difference between Usa Python vs Usa Data Analyst?

AspectUsa PythonUsa Data Analyst
Required SkillsPython programming, data manipulation, scriptingData visualization, statistical analysis, Excel
Work EnvironmentSoftware development, data engineering teamsBusiness units, reporting teams
CertificationsPython certifications, data science coursesExcel, Tableau, SQL certifications

While both roles involve working with data, Usa Python focuses on coding, automation, and data engineering tasks, whereas Usa Data Analyst emphasizes interpreting data, creating reports, and visualizations. The roles often collaborate but serve different functions within data projects.

Infographic showing various Usa Python job openings in Wisconsin as of June 2026, with employment types broken down into 89% Full Time, 6% Part Time, 4% Contract, and 1% Nights. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution.

Data Engineer I

Fielmann USA

Green Bay, WI • On-site

$111K - $133K/yr

Full-time

Posted 8 days ago


Job description

Onsite- Green Bay, WI.

POSITION SUMMARY:

Responsible for the development and maintenance of data pipeline infrastructures, ensuring the seamless flow of data for various needs within the organization. Work alongside data professionals, contributing to the design and implementation of data architectures that meet the evolving needs of the business. Support the transformation of raw data into usable information for analysts and other internal stakeholders.


DUTIES AND RESPONSIBILITIES:

DATA PIPELINE DEVELOPMENT

• Assist in building and maintaining data pipelines from internal databases and SaaS applications

• Support the development of ETL (Extract, Transform, Load) processes

• Assist in implementing data validation and quality checks to ensure accuracy and consistency

• Write clean, documented, and maintainable code following established standards


DATA INFRASTRUCTURE SUPPORT

• Assist in maintaining databases, data warehouses, and data lake components

• Support the configuration and monitoring of data infrastructure

• Assist in troubleshooting basic data processing issues and escalate complex problems

• Participate in code reviews and incorporate feedback from senior engineers


DATA INTEGRATION

• Assist with integrations from various data sources into the data ecosystem

• Assist in maintaining connections with internal and external APIs

• Support data ingestion processes for structured and unstructured data

• Document integration processes and data flow for transparency and standardization


COLLABORATION & DOCUMENTATION

• Create and maintain systems and process documentation

• Collaborate with various engineers and analysts to support their work

• Participate in team meetings and contribute to planning discussions

• Actively seek out learning opportunities and keep up with advancements in data engineering practices


MINIMUM KNOWLEDGE, EXPERIENCE & SKILLS REQUIREMENTS:

• Bachelor’s degree in computer science, data engineering, information systems, or related field or equivalent experience

• 1 - 2 years of experience in data engineering, software development or related roles

• Experience using Python, Java, or Scala for data processing (Python preferred)

• Familiar with data-related Python packages (pandas, NumPy)

• Basic understanding of SQL and relational databases

• Basic knowledge of version control systems (Git)

• Understanding of data modeling fundamentals preferred

• Knowledge of Linux/UNIX operating systems preferred

• Exposure to cloud platforms (AWS, Azure,or Google Cloud Platform)

• Able to take direction, prioritize work, and manage multiple activities simultaneously

• Excellent communication skills

• Able to work independently and as part of a team

• Willing to share knowledge and experience with other members of the team

• Strong analytical and problem-solving skills

• Attention to detail and commitment to data quality

• Solid planning and organizational skills

• Proficiency with Microsoft Office Suite of programs


ESSENTIAL FUNCTIONS & WORK REQUIREMENTS:

• Ability to effectively communicate at all levels within the organization through written and two-way verbal communication

• Able to read and write at a high school graduate level

• Able to sit or stand for extended periods of time

• Able to operate various office equipment (e.g., personal computer, telephone, fax machine, copier, etc.)

• Able to lift 10 to 20 pounds

• Able to work overtime and regular and/or extended (evenings, nights, and weekends) office hours to meet established deadlines

• Able to travel independently to support Company objectives and personal development


These statements are intended to describe the general nature and level of work performed by teammates assigned to this job classification. They are not intended to be an exhaustive list of all responsibilities, duties, and skills required.