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Python Jobs in Columbia, MO (NOW HIRING)

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Data Science Engineer

California, MO · On-site

$120 - $170/hr

Strong proficiency in SQL and Python; R is a plus. * Experience in data cloud platform (eg. Databricks, AWS, Snowflake) * Understanding of machine learning techniques, specifically involving ...

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Senior Applied AI Engineer

California, MO · On-site

$150 - $200/hr

Strong Python engineering skills * Ability to design, prototype, and productionize AI-enabled services, APIs, integrations, automation workflows, and internal tools * Practical experience building ...

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Senior AI/ML Engineer

California, MO · On-site

$140 - $190/hr

Strong proficiency in Python for building and operating LLM-powered applications and agentic workflows * Experience integrating LLM applications with enterprise data sources, APIs, and retrieval ...

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Senior Full Stack Engineer

California, MO · On-site

$140 - $170/hr

Strong hands-on proficiency in Python and/or TypeScript/Node.js, and the ability to read and give design-level feedback on code you did not write. * Terraform, or CloudFormation/CDK/Bicep/Pulumi with ...

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Data Science Intern

California, MO · On-site

At least 6 months of experience with either Python, R or SQL Core Competencies Demonstrates expertise in data science model design and integration of internal and external data sources to derive ...

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Senior Engineer - Cloud

California, MO · On-site

$150 - $190/hr

Advanced programming expertise in object-oriented languages with strong typing (we primarily use Golang and Python--we'll help you master our stack!) * Proven microservices experience with designing ...

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Distinguished Data Scientist

California, MO · On-site

$180 - $260/hr

Strong Python skills with Pandas, NumPy, and Scikit-learn * Experience with Docker and MLOps practices * Advanced statistical analysis, experiment design, and causal inference * Experience deploying ...

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Python information

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$12

$55

$82

How much do python jobs pay per hour?

As of Aug 20, 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.

Data Science Engineer

Jobtailor

California, MO • On-site

$120 - $170/hr

Other

Posted 2 days ago

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Job description

  • A Finance Data Scientist within Adobe’s Creativity & Productivity FP&A (Financial Planning and Analysis) team partners with finance and business stakeholders to understand, and then develop and enhance the existing or proposed forecasting process, optimizing and refining by leveraging automation and AI/ML techniques.
  • Drive data science modeling initiatives for forecasting and analysis
  • Automate, enhance, and maintain analytic applications and data structures used for modeling and forecasting
  • Monitor weekly performance, understand the root causes of changes in metrics, and continually keep an eye on how to continuously “Create the Future” and further enhance forecast algorithms
  • Work with the PowerBI team to deliver requirements to create and maintain dashboards tracking key indicators
  • Partner with Finance and other teams to build data science models to solve a wide breadth of business challenges
  • Analyze business or financial data to provide insights to the finance leadership team on process & system automation opportunities
  • Analyze data to identify or resolve operational problems to create processes to reverse engineer existing data flows and source-to-target mappings and work with data engineering teams to implement changes.
  • Prepare analytical reports to document financial models and data processes.
  • Demonstrate strong intellectual curiosity towards enhancing current methodologies and processes
  • Capture, synthesize, and interpret disparate quantitative data within the context of business objectives, identify trends, and explore data through segments and cohorts
  • Be a change agent, ensuring users adopt new and innovative technologies.
Requirements
  • Strong proficiency in SQL and Python; R is a plus.
  • Experience in data cloud platform (eg. Databricks, AWS, Snowflake)
  • Understanding of machine learning techniques, specifically involving supervised learning applied to time-series analysis
  • Proficiency with data visualization tools (e.g. Power BI, Tableau)
  • Experience exploring large amounts of information, extracting insights, and achieving real-world results
  • Ability to dig in, understand the data, and to use creative thinking and problem-solving skills are musts
  • History of deriving and communicating actionable insights from analysis projects to product and/or business leaders
  • Degree in a quantitative field like statistics, economics, applied math, operations research or engineering preferred, or related work experience
  • Knowledge of Microsoft Office, specifically Power Query, M/DAX is a plus
  • Understanding of Version Control frameworks such as GitHub is a plus
  • Knowledge of customer cancellation forecasting and cohort retention is a plus.
Core Competencies

Proficient in SQL and Python for data analysis and modeling, with a strong understanding of machine learning techniques for time-series analysis. Experienced in automating and enhancing forecasting processes while collaborating with finance and business stakeholders to derive actionable insights.

Highest-signal resume keywords
  • SQL Proficiency
  • Python Proficiency
  • Machine Learning Techniques
  • Data Visualization Tools
  • Data Cloud Platform Experience
ATS Optimization KeywordsHard Skills
  • SQL
  • Python
  • Machine Learning
  • Data Analysis
  • Forecasting
  • Data Modeling
  • Statistical Analysis
  • Data Automation
  • Cohort Analysis
  • Time-Series Analysis
Soft Skills
  • Creative Thinking
  • Problem-Solving
  • Intellectual Curiosity
  • Communication Skills
  • Collaboration
Industry Keywords
  • Financial Planning and Analysis
  • Data Science
  • Forecasting Process
  • Operational Problems
  • Data Structures
  • Analytic Applications
  • Business Insights
  • Data Engineering
  • Customer Cancellation Forecasting
  • Cohort Retention
Tools & Technologies
  • Power BI
  • Tableau
  • Databricks
  • AWS
  • Snowflake
  • Microsoft Office
  • Power Query
  • M/DAX
  • GitHub
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