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Python Programmer Jobs in Overland Park, KS (NOW HIRING)

Manager, Data Engineering

Kansas City, MO · On-site +1

$111K - $134K/yr

Experience with Python programming language * Must have experience on ETL development life cycle, best practices of ETL pipelines, thorough work experience on data warehouse using combination of ...

QA Test Engineer - KS

Overland Park, KS · On-site

$40.75 - $55.50/hr

This position requires Python programming expertise in order to maintain our current setup as well as build new test features as needed. This position requires 5 days per week in-office at the ...

Machine Learning Engineer

Mission, KS · On-site

$110 - $130/hr

Expert-level Python programming with deep knowledge of ML frameworks (PyTorch, TensorFlow, or similar) and performance considerations for production workloads. * Production experience with cloud ML ...

Azure AI Developer

Overland Park, KS · On-site

$54.50 - $67.50/hr

The role involves hands-on development with a focus on AI, requiring a full stack developer with skills in C#, .NET, React, Python, and Azure cloud platform. Qualifications : Required : • Hands On ...

Data Engineer

Overland Park, KS · On-site

$90 - $120/hr

Master's degree in Computer Science, Engineering, Technology, Management or related field to design ... Develop Big Data applications using Hadoop, Hive, PySpark, and Python. * Build centralized logging ...

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Python Programmer information

See Overland Park, KS salary details

$38

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How much do python programmer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for python programmer in Overland Park, KS is $64.40, according to ZipRecruiter salary data. Most workers in this role earn between $59.09 and $68.17 per hour, depending on experience, location, and employer.

What is a Python programmer?

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.

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 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.

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 often seek candidates with skills in frameworks like Django or Flask and familiarity with tools such as Git and cloud platforms. The demand is expected to grow as Python continues to be a key language in emerging fields like artificial intelligence and machine learning.

Is Python Programmer still in demand in 2026?

Python programmers continue to be in high demand in 2026 due to the language's versatility in web development, data analysis, machine learning, and automation. Proficiency with frameworks like Django or Flask and knowledge of data science tools increase employability in various industries.

What are popular job titles related to Python Programmer jobs in Overland Park, KS?

For Python Programmer jobs in Overland Park, KS, the most frequently searched job titles are:

What job categories do people searching Python Programmer jobs in Overland Park, KS look for?

The top searched job categories for Python Programmer jobs in Overland Park, KS are:

What cities near Overland Park, KS are hiring for Python Programmer jobs?

Cities near Overland Park, KS with the most Python Programmer job openings:

Infographic showing various Python Programmer job openings in Overland Park, KS as of August 2026, with employment types broken down into 57% Full Time, and 43% Contract. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $133,951 per year, or $64.4 per hour.

Machine Learning Performance Engineer - CUDA Python

3B Staffing LLC

Kansas City, MO • Remote

$136K/yr

Contractor

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

As for expenses on this one for travel, they will bill WWT for expenses directly.

Machine Learning Performance Engineer - CUDA Python - - Travel - 50% - 18966

Job Order #: 10540Title: Machine Learning Performance Engineer - CUDA Python

Position/Sheet Notes: MUST HAVE SOME SORT OF RECORDED VIDEO ON WITH NON-USC's FOR INTERNAL USE. This job is open to W2, C2C, USC, GC and other legal status (H1B).

Duration: 6 month contract with the likelihood to extend

Location: Remote but candidates must be willing to travel to different customer sites.

Position Category: Infrastructure

Job Description: *Must be willing to travel 50% of the time

*Must have strong pre-sales abilities i.e. presentation skills, communication skills, etc.

*Must be willing to help train employees and customers

Your part here is optimizing the performance of our models - both training and inference. We care about efficient large-scale training, low-latency inference in real-time systems, and high-throughput inference in research.

Part of this is improving straightforward CUDA, but the interesting part needs a whole-systems approach, including storage systems, networking, and host- and GPU-level considerations. Zooming in, we also want to ensure our platform makes sense even at the lowest level - is all that throughput actually goodput? Does loading that vector from the L2 cache really take that long?

  • An understanding of modern ML techniques and toolsets
  • The experience and systems knowledge required to debug a training run's performance end to end
  • Low-level GPU knowledge of PTX, SASS, warps, cooperative groups, Tensor Cores, and the memory hierarchy
  • Debugging and optimization experience using tools like CUDA GDB, NSight Systems, NSight Compute
  • Library knowledge of Triton, CUTLASS, CUB, Thrust, cuDNN, and cuBLAS
  • Intuition about the latency and throughput characteristics of CUDA graph launch, tensor core arithmetic, warp-level synchronization, and asynchronous memory loads
  • Background in Infiniband, RoCE, GPUDirect, PXN, rail optimization, and NVLink, and how to use these networking technologies to link up GPU clusters
  • An understanding of the collective algorithms supporting distributed GPU training in NCCL or MPI
  • An inventive approach and the willingness to ask hard questions about whether we're taking the right approaches and using the right tools