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Python Django Developer Jobs in Raleigh, NC (NOW HIRING)

Senior Algorithms Engineer

Cary, NC · On-site +1

$120K - $158K/yr

Pitch in on adjacent Python backend projects (Django and FastAPI APIs, AWS infrastructure) when a piece of work spans more than one service. * Keep the engineering practices tight: code review, tests ...

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Python Django Developer information

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$111.9K

$388.3K

How much do python django developer jobs pay per year?

As of Jul 10, 2026, the average yearly pay for python django developer in Raleigh, NC is $111,887.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,200.00 and $154,600.00 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.

What are popular job titles related to Python Django Developer jobs in Raleigh, NC? For Python Django Developer jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Python Django Developer jobs in Raleigh, NC look for? The top searched job categories for Python Django Developer jobs in Raleigh, NC are:
Infographic showing various Python Django Developer job openings in Raleigh, NC as of July 2026, with employment types broken down into 57% Full Time, 15% Part Time, and 28% Contract. Highlights an 91% In-person, and 9% Hybrid job distribution, with an average salary of $111,887 per year, or $53.8 per hour.
Senior Algorithms Engineer

Senior Algorithms Engineer

Keen Decision Systems

Cary, NC • On-site, Remote

$120K - $158K/yr

Full-time

Posted 2 days ago


Job description

Company Description

Keen Decision Systems provides an AI-driven marketing platform that empowers marketing leaders and finance teams to make data-driven, future-focused business decisions. Our platform connects marketing investments to P&L performance, transforming marketing into a profitability driver.

Keen is different. As a Inc. 5000 Fastest-Growing Private Company and a Triangle Business Journal Top 10 Best Place to Work, we're growing quickly. But our growth isn't the only thing that differentiates us.

At Keen, we are proponents of a Conscious Culture. Conscious Culture is an environment built on purpose. A Conscious Culture means that time and effort have been invested into making sure that how our company operates is as important as our business outcomes. Because we work smarter Monday-Thursday, we're able to offer all employees a three-day weekend.

Job Description

What is a Senior Algorithms Engineer?

At Keen, the Senior Algorithms Engineer develops, deploys and improves the algorithms that run in Keen AI Cortex . You're a software engineer first, with the understanding of mathematics, data, and inference to read a model spec, question it, and suggest changes the Principal Algorithms Architect  hadn't considered. You'll work directly with the Lead Engineer, and Principal Algorithms Architect, taking modeling ideas from prototype to production code and contributing to the algorithms when you see a better path.

What you'll do as the Senior Algorithms Engineer:

  • Own algorithmic features end-to-end across the next generation of Keen's AI Cortex. Design, implement, test, ship, and watch them run in production.

  • Pitch in on adjacent Python backend projects (Django and FastAPI APIs, AWS infrastructure) when a piece of work spans more than one service.     

  • Keep the engineering practices tight: code review, tests, CI gates, documentation, and a clean ticketed workflow.     

  • Use AI coding tools with judgment. Fast iteration is the point. So is catching the moments when the model is confidently wrong.

  • Develop algorithms from business ideas and turn them into production code

  • Collaborate with others in the development of the solutions, including the ability to effectively push back when the implementation can be improved .

  • Communicate clearly across Product, Research, and Engineering. Write the design doc, name the tradeoff, get the decision made.

Qualifications

What expertise do the best Senior Algorithms Engineers for Keen have?     

  • 7+ years shipping production Python on a team

  • Knowledge of inference methods, particularly in economics and business domains including time-series models (or more generally state-space modeling), probability modeling, and multivariate systems.

  • Comfortable with the engineering basics: tests, CI, code review, documentation, and working out of tickets     

  • Hands-on experience with AWS, Docker

  • Operates independently. Scopes own work, talks to stakeholders, makes judgment calls when no one else is available to make them

  • Writes and speaks clearly

  • Math foundation in linear algebra, probability, and statistics. Demonstrated ability to read and write mathematical specifications, interpret and improve documented solutions.  

  • Working knowledge of pandas and NumPy, with understanding of the use of these packages in implementing algorithms.  

Nice-to-have:

  • Marketing Mix Modeling (MMM) or another econometric  background

  • Bayesian inference experience

  • Optimization exposure

  • A track record of developing mathematical algorithms into shipped production systems.

Benefits of Working with Keen:         

  • Mentoring and training from people who've been doing this for years

  • Hands-on work on Bayesian models, optimization, and the data engineering behind them, applied to a product real customers use

  • A seat in conversations across departments and at company-wide meetings

  • 4-day work week with 3-day weekends

  • Fully remote within the United States

Additional Information

Please read the following before submitting your resume for this position. 

MUST be authorized to work in the United States. Keen is not able to provide sponsorship at this time. We hope to be able to do so in the near future! 

MUST be able travel within the United States 1-3 times a year. 

MUST have a reliable, everyday remote work desk station. 

NOTE:  If you are a candidate for a job here at Keen and have not interacted with a reputable recruiting firm or directly with a Keen team member with an "@keends.com" email domain, please block and/or report those contacts as spam.  Thank you for your time and we look forward to connecting!

Keen Decision Systems is an equal opportunity employer committed to diversity in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.