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Python Programmer Jobs in Mount Horeb, WI (NOW HIRING)

Certified Cloud Engineer

Madison, WI · On-site

$115K - $138K/yr

AWS Redshift Data Engineer / Consultant We are seeking a talented and experienced AWS Redshift Data ... Airflow, Python scripting and other pertinent AWS services to ensure the seamless ingestion ...

Sr AWS Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators. * Experience with Pyspark and Glue ETL scripting including functions like relationalize, performing ...

... Python/Java Software Programmer Data Analyst, Data Scientist Data Engineer & ML Engineer Preferred Skills We Focus On Java / Full Stack / DevOps: Java, Spring Boot, Microservices, Git, Docker ...

Senior Data Engineer x2

Madison, WI · On-site

$106K - $145K/yr

Data Engineer IV At American Family Insurance, we believe people are an organization's most ... We're leveraging open source technologies like Spark, Python, Hadoop, and cloud native tools to ...

Python programming, including version/dependency management (e.g. venv/pip/uv) * Embedded C programming experience (e.g. STM32) * Cross-platform embedded system test harnesses and simulation * Linux ...

Python programming, including version/dependency management (e.g. venv/pip/uv) * Embedded C programming experience (e.g. STM32) * Cross-platform embedded system test harnesses and simulation * Linux ...

FPGA Engineer

Madison, WI · On-site

$131K - $168K/yr

Description Apply Now RTL, C/C++, Python, VHDL, Verilog, Tcl, cryptography, hardware, embedded ... S. Government Security Clearance FPGA Engineer The EndoSec FPGA Engineer is responsible for the ...

Robert Half is seeking a Linux Systems & DevOps Engineer on behalf of our client in Madison, WI ... Experience with infrastructure automation using tools such as Ansible, Python, or PowerShell.

Senior Staff Software Engineer

Madison, WI · On-site

$123K - $162K/yr

As a Senior Staff Software Engineer, you will play a pivotal role in expanding this platform ... Python codebase • Comfortable scaling up on Python if you haven't worked on it before • ...

DevOps Engineer

Verona, WI · On-site

$54 - $74/hr

Required : • Bachelor's degree in Computer Science, Engineering, or a related technical field. • Proficiency in Python, with attention to software system design and architectural practices. • ...

Sr. Data Engineer

Madison, WI · On-site

$150K - $190K/yr

Hands-on experience and knowledge of the Python programming language * Experience processing and reporting against large amounts of financial data in a scalable fashion * Public cloud expertise and ...

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Python Programmer information

See Mount Horeb, WI salary details

$40

$67

$81

How much do python programmer jobs pay per hour?

As of Jun 4, 2026, the average hourly pay for python programmer in Mount Horeb, WI is $67.29, according to ZipRecruiter salary data. Most workers in this role earn between $61.78 and $71.25 per hour, depending on experience, location, and employer.

What Do Python Programmers Do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

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

To thrive as a Python Programmer, you need strong proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

What are some common challenges Python Programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What are Python Programmers?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers seek professionals skilled in Python, often requiring knowledge of frameworks like Django or Flask and experience with libraries such as Pandas or NumPy. The demand is expected to grow as technology continues to evolve and data-driven decision-making becomes more prevalent.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

What cities near Mount Horeb, WI are hiring for Python Programmer jobs? Cities near Mount Horeb, WI with the most Python Programmer job openings:
Infographic showing various Python Programmer job openings in Mount Horeb, WI as of May 2026, with employment types broken down into 97% Full Time, and 3% Part Time. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution, with an average salary of $139,971 per year, or $67.3 per hour.
Certified Cloud Engineer

Certified Cloud Engineer

Samprasoft

Madison, WI • On-site

$115K - $138K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

AWS Redshift Data Engineer / Consultant

We are seeking a talented and experienced AWS Redshift Data Engineer / Consultant to join our team in designing, developing, and optimizing data pipelines and ETL processes for our AWS Redshift-based data lake house. In this role, you will collaborate closely with cross-functional teams, leveraging your expertise in SQL, Redshift stored procedures, AWS DMS, Airflow, Python scripting and other pertinent AWS services to ensure the seamless ingestion, integration, transformation and orchestration of data. Your experience with complex ETL pipelines, Changed Data Capture (CDC), Slowly Changing Dimension (SCD) strategies will be instrumental in creating a scalable, high-performance data environment. By adhering to best practices and industry standards, you will collaborate with our engineering and data teams to design forward thinking solutions.

Key Responsibilities:
  • Collaborate with data engineering and development teams to design, develop, test, and maintain robust and scalable ELT/ETL pipelines using SQL scripts, Redshift stored procedures, and other AWS tools and services.
  • Collaborate with our engineering and data teams to understand business requirements and data integration needs, translate them into effective data solutions, that yield top-quality outcomes.
  • Architect, implement, and manage end-to-end data pipelines, ensuring data accuracy, reliability, data quality, performance, and timeliness.
  • Employ AWS DMS and other services for efficient data ingestion from on-premises databases into Redshift.
  • Design and implement ETL processes, encompassing Changed Data Capture (CDC) and Slow Changing Dimension (SCD) logics, to seamlessly integrating data from diverse source systems.
  • Provide expertise in Redshift database optimization, performance tuning, and query optimization.
  • Design and implement efficient orchestration workflows using Airflow, ensuring seamless coordination of complex ETL processes.
  • Integrate Redshift with other AWS services, such as AWS DMS, AWS Glue, AWS Lambda, Amazon S3, Airflow, and more, to build end-to-end data pipelines.
  • Perform data profiling and analysis to troubleshoot data-related challenges / issues and build solutions to address those concerns.
  • Proactively identify opportunities to automate tasks and develop reusable frameworks.
  • Work closely with version control team to maintain a well-organized and documented repository of codes, scripts, and configurations using Git.
  • Provide technical guidance and mentorship to fellow developers, sharing insights into best practices, tips, and techniques for optimizing Redshift-based data solutions.
Qualifications and Skills:
  • Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
  • Extensive hands-on experience designing, developing, and maintaining data pipelines and ETL processes on AWS Redshift, including data lakes and data warehouses.
  • Proficiency in SQL programming and Redshift stored procedures for efficient data manipulation and transformation.
  • Hands-on experience with AWS services such as AWS DMS, Amazon S3, AWS Glue, Redshift, Airflow, and other pertinent data technologies.
  • Strong understanding of ETL best practices, data integration, data modeling, and data transformation.
  • Experience with complex ETL scenarios, such as CDC and SCD logics, and integrating data from multiple source systems.
  • Demonstrated expertise in AWS DMS for seamless ingestion from on-prem databases to AWS cloud.
  • Proficiency in Python programming with a focus on developing efficient Airflow DAGs and operators.
  • Experience in converting Oracle scripts and Stored Procedures to Redshift equivalents.
  • Familiarity with version control systems, particularly Git, for maintaining a structured code repository.
  • Proficiency in identifying and resolving performance bottleneck and fine-tuning Redshift queries,
  • Strong coding and problem-solving skills, and attention to detail in data quality and accuracy.
  • Ability to work collaboratively in a fast-paced, agile environment and effectively communicate technical concepts to non-technical stakeholders.
  • Proven track record of delivering high-quality data solutions within designated timelines.
  • Experience working with large-scale, high-volume data environments.
  • The ideal candidate possesses several years of hands-on experience working with Redshift and other AWS services and a proven track record of delivering high-performing, scalable data platforms and solutions within the AWS cloud.
  • AWS certifications related to data engineering or databases are a plus.