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Python Jobs in Columbia, MO (NOW HIRING)

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Machine Learning Scientist II

California, MO · On-site

$120 - $180/hr

Strong programming skills in Python and its data science ecosystem (such as pandas, scikit-learn, PySpark) and proficiency in SQL, with experience following software engineering best practices and ...

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Senior Lead AI Engineer - MLXT

California, MO · On-site

$150 - $230/hr

At least 6 years of experience programming with Python, Go, Scala, or Java * 7 years of experience deploying scalable and responsible AI solutions on cloud platforms (e.g. AWS, Google Cloud, Azure ...

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Solution Consultant

California, MO · On-site

$140 - $190/hr

Proficient in Python, Java, or other programming languages used for data processing, automation, or integration. * Experience with data science concepts, including data wrangling, feature engineering ...

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AI/ML Software Engineer

California, MO · On-site

$95 - $135/hr

Python Programming * Agile Methodology * Performance Testing * Bachelor's Degree in STEM ATS Optimization KeywordsHard Skills * TensorFlow * Keras * PyTorch * Onnx * C Programming * C++ Programming

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Senior Memory System Architect

California, MO · On-site

$120 - $180/hr

Software development experience with C++, python and/or perl. * Verilog or SV/UVM are a plus. Core Competencies Expertise in memory system architecture and performance optimization, with strong ...

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IT Systems Engineer

California, MO · On-site

$90 - $150/hr

Fluent in scripting (Bash, Python, etc.), APIs, and automation platforms like Workato or Zapier. * Process and project-oriented: Skilled at designing and implementing scalable systems. * AI and ...

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Senior Product Software Engineer

California, MO · On-site

$120 - $170/hr

Strong skills in Python, Java and SQL with expert level skill in either Python or Java. * Proven experience building streaming data pipelines (e.g., Kafka, Flink, Spark, Kinesis). * Experience with ...

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Principal Software Engineer

California, MO · On-site

$180 - $260/hr

Fluency in Go, Java, or Python. * Ability to work in a team environment, collaborate well, and mentor junior engineers. * A strategic mindset and strong sense of what to prioritize for maximum impact.

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Staff Quantitative Scientist

California, MO · On-site

$190 - $240/hr

Proficient in Python or R for statistical programming and experienced in analyzing observational healthcare data. Highest-signal resume keywords * Master's In Health Economics * Statistical Analysis

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Business Intelligence Analyst 3

California, MO · On-site

$90 - $130/hr

Solid programming and data architecture skills using SQL, Python, VBA, and BI tools (PowerBI/Tableau). * Basic AI fluency and prompting skills, with experience utilizing AI-assisted coding or ...

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Software Engineer - Level 2

California, MO · On-site

$110 - $160/hr

Experience with C++ and Python. * Experience with RedHat Linux environment. * Experience with the software design lifecycle. * Experience with the Atlassian tool suite (Jira, Confluence, BitBucket ...

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How much do python jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for python in Columbia, MO is $55.78, according to ZipRecruiter salary data. Most workers in this role earn between $45.96 and $63.37 per hour, depending on experience, location, and employer.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can 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 solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

What are the key skills and qualifications needed to thrive as a Python developer?

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically 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 highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

Can I get a job with just Python?

A Python developer role typically requires proficiency in Python programming, along with knowledge of related tools like frameworks, libraries, and version control. While Python skills are essential, employers often prefer candidates with experience in problem-solving, data structures, and sometimes additional skills such as databases or web development. Certifications or practical projects can also enhance job prospects, but having only Python may limit opportunities for more advanced or specialized positions.

Does Python have good job opportunities?

Python developers have strong job prospects across various industries such as technology, finance, and data science. Proficiency in frameworks like Django or Flask and knowledge of data analysis tools can enhance employability, with many roles requiring experience in version control and problem-solving skills.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity specialist. These jobs often require knowledge of frameworks, libraries, and tools like Django, Flask, Pandas, and TensorFlow, and may involve working in teams or on specific platforms. Python skills are valuable across industries such as technology, finance, healthcare, and research.

Which Python job is in demand?

Python developer roles are highly in demand across industries such as technology, finance, and data science. Skills in frameworks like Django or Flask, along with knowledge of data analysis tools like Pandas and NumPy, enhance job prospects. Certifications and experience with cloud platforms can also improve employability.
More about Python jobs

What are the most commonly searched types of Python jobs in Columbia, MO?

The most popular types of Python jobs in Columbia, MO are:

What are popular job titles related to Python jobs in Columbia, MO?

For Python jobs in Columbia, MO, the most frequently searched job titles are:

What job categories do people searching Python jobs in Columbia, MO look for?

The top searched job categories for Python jobs in Columbia, MO are:

What cities near Columbia, MO are hiring for Python jobs?

Cities near Columbia, MO with the most Python job openings:

Python jobs near you
Infographic showing various Python job openings in Columbia, MO as of August 2026, with employment types broken down into 1% Internship, 83% Full Time, 10% Part Time, and 6% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $116,031 per year, or $55.8 per hour.

Machine Learning Scientist II

Jobtailor

California, MO • On-site

$120 - $180/hr

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Job description

Design & Implement ML Solutions: Take ownership of the end-to-end ML lifecycle for your projects, from ideation and research to deployment and monitoring.

Test, Learn, and Iterate: Design and analyze tests to validate your models and quantify their business impact and design future iterations.

Collaborate and Communicate: Partner closely with product managers, engineers, and business stakeholders to understand requirements, define problems, and communicate your findings and results effectively.

Requirements
  • Bachelor’s degree in Computer Science or a related technical field; or Equivalent related professional experience.
  • 1+ years of relevant professional experience.
  • Proven ability to design end-to-end ML solutions, including problem formulation, identification and preparation of data sources, algorithm selection, feature engineering, evaluation strategy, and production deployment and monitoring.
  • Strong programming skills in Python and its data science ecosystem (such as pandas, scikit-learn, PySpark) and proficiency in SQL, with experience following software engineering best practices and contributing to shared codebases.
  • Familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real world products, including experience with the machine learning software development lifecycle from experimentation through operational monitoring.
  • Expertise in applied ML: Deep, practical knowledge of machine learning theory (supervised/unsupervised learning, deep learning) and statistical modeling and a strong command of experimental design (A/B testing) and causal inference to accurately measure impact.
  • Able to design end-to-end ML solutions: framing the problem, choosing data sources, selecting algorithms, and defining evaluation strategy.
  • Technical Fluency: Strong programming skills in Python and its data science ecosystem (e.g., pandas, scikit-learn, pySpark), plus proficiency in SQL.
Core Competencies

Demonstrates expertise in designing and implementing end-to-end machine learning solutions, including problem formulation, data preparation, algorithm selection, and evaluation strategies. Proficient in Python and SQL, with a strong understanding of machine learning theory and statistical modeling.

Highest-signal resume keywords
  • End-To-End ML Solutions
  • Python Programming
  • SQL Proficiency
  • Machine Learning Theory
  • Experimental Design
ATS Optimization KeywordsHard Skills
  • Machine Learning
  • Data Preparation
  • Algorithm Selection
  • Feature Engineering
  • Statistical Modeling
  • A/B Testing
  • Causal Inference
  • Deep Learning
  • Problem Formulation
  • Evaluation Strategy
Soft Skills
  • Collaboration
  • Communication
Industry Keywords
  • AI-Driven Systems
  • Machine Learning Software Development Lifecycle
Tools & Technologies
  • Pandas
  • Scikit-Learn
  • PySpark
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