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Python Django Developer Jobs in Kansas City, MO (NOW HIRING)

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Python Django Developer information

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$22.2K

$111.2K

$385.9K

How much do python django developer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for python django developer in Kansas City, MO is $111,183.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,800.00 and $153,600.00 per year, depending on experience, location, and employer.

What is a Python Django developer?

A Python Django Developer is a software professional who specializes in building web applications using the Django framework, which is written in Python. Django is known for its rapid development capabilities, security, and scalability. Developers in this role are responsible for designing, coding, testing, and maintaining web applications, integrating databases, and ensuring that applications follow best practices. They often work as part of a team and collaborate with front-end developers, designers, and other stakeholders to deliver robust web solutions.

What does a Python Django developer do?

A Python Django developer writes server-side web applications using Django software. You write code and develop back-end components for applications, then integrate your work with front-end developers. You must test, troubleshoot, and debug code for any application you work on. You write and implement software solutions that integrate different systems. Your responsibilities include writing reusable and testable code and supporting new projects with a Level-3 perspective. Other duties include designing and implementing low-latency, high-availability, and performant applications. You also implement security and data protection.

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

To thrive as a Python Django Developer, you need strong proficiency in Python programming, web development fundamentals, and deep understanding of the Django framework, typically supported by a degree in computer science or related experience. Familiarity with version control systems like Git, RESTful APIs, relational databases, and deployment tools is essential, and certifications in web development or Django can be beneficial. Problem-solving abilities, effective communication, and a collaborative mindset are crucial soft skills in this role. These skills and qualities ensure the delivery of robust, scalable web applications and foster effective teamwork in dynamic development environments.

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

Python Django Developers working on large-scale projects often encounter challenges such as managing complex database migrations, optimizing performance for high-traffic applications, and ensuring code maintainability across multiple team members. Effective communication and version control practices are vital when collaborating with front-end developers, QA engineers, and DevOps teams. Developers also need to stay up-to-date with security best practices to protect applications from vulnerabilities. Proactively addressing these challenges helps ensure smooth development cycles and successful project outcomes.

What is the difference between Python Django Developer vs Python Flask Developer?

AspectPython Django DeveloperPython Flask Developer
Required CredentialsBachelor's in Computer Science, Python, Django certificationsBachelor's in Computer Science, Python, Flask familiarity
Work EnvironmentLarge-scale web applications, full-stack developmentMicroservices, lightweight APIs, flexible projects
Industry UsageE-commerce, social media, enterprise appsPrototyping, startups, custom APIs
Search & Comparison IntentOften compared for full-stack capabilitiesCompared for lightweight, flexible solutions

Python Django Developers typically work on large, complex web applications with a structured framework, while Python Flask Developers focus on lightweight, flexible microservices and APIs. Both roles require Python skills, but Django developers often have additional experience with full-stack development and enterprise environments, making them suitable for larger projects. Flask developers are preferred for rapid prototyping and smaller, custom solutions.

More about Python Django Developer jobs
What are popular job titles related to Python Django Developer jobs in Kansas City, MO? For Python Django Developer jobs in Kansas City, MO, the most frequently searched job titles are:
What job categories do people searching Python Django Developer jobs in Kansas City, MO look for? The top searched job categories for Python Django Developer jobs in Kansas City, MO are:
What cities near Kansas City, MO are hiring for Python Django Developer jobs? Cities near Kansas City, MO with the most Python Django Developer job openings:
Python Django Developer jobs near you
Infographic showing various Python Django Developer job openings in Kansas City, MO as of August 2026, with employment types broken down into 100% Full Time. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $111,183 per year, or $53.5 per hour.

Senior Manager, Yield Management - GTM Advanced Analytics

Jobtailor

Dearborn, MO • On-site

$180 - $260/hr

Other

Posted 4 days ago

Job description

Responsibilities
  • Lead the design, validation, deployment, and monitoring of production‑grade AI/ML solutions (e.g., predictive modeling, forecasting, optimization, and segmentation).
  • Lead the development, maintenance, and optimization of advanced demand sensing algorithms to support sales and operations planning (S&OP) and yield management.
  • Drive the strategic AI/ML roadmap, identifying innovative use cases—including Agentic AI for workflow automation—to deliver significant business value.
  • Foster a culture of rapid prototyping and rigorous testing to quickly validate the business utility of new AI/ML applications.
  • Evaluate and adopt emerging AI/ML platforms, frameworks, and methodologies to enhance solution efficiency, scalability, and performance.
  • Establish and enforce robust MLOps practices, model governance, version control, and comprehensive documentation to ensure seamless deployment and retraining.
  • Champion ethical AI principles, ensuring fairness, transparency, and data privacy are embedded across the model lifecycle.
  • Oversee data management practices (sourcing, cleaning, preprocessing) to ensure high‑quality data pipelines for all AI/ML models.
  • Act as the primary liaison between technical teams and business stakeholders (Sales & Marketing, Finance, IT) to align AI/ML initiatives with corporate strategy.
  • Translate complex algorithmic concepts and technical outcomes into clear, actionable insights and recommendations for executive leadership.
  • Guide and mentor data scientists and AI/ML engineers in technical execution, professional growth, and stakeholder management.
Requirements
  • Master’s in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Statistics, or a closely related quantitative field.
  • 10+ years of progressive experience in AI/ML engineering or data science, with 3–5 years of experience directly leading and managing technical teams.
  • Proven experience building and deploying production‑grade predictive models, time‑series forecasting, and optimization algorithms.
  • Hands‑on experience building and deploying Agentic AI solutions for complex workflow automation.
  • Advanced proficiency in Python and core ML libraries (e.g., PyTorch, TensorFlow, scikit‑learn). Strong command of SQL.
  • Proven experience deploying and managing AI/ML workloads on cloud platforms (AWS, Azure, or GCP) using MLOps tools.
  • Experience developing user‑facing applications or dashboards (e.g., Streamlit, Dash, Flask/Django) for model consumption.
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