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Python React Developer Jobs in Tulsa, OK (NOW HIRING)

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Python React Developer information

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$12

$53

$78

How much do python react developer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for python react developer in Tulsa, OK is $53.54, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $60.82 per hour, depending on experience, location, and employer.

How do Python React developers typically collaborate with backend and frontend teams on a project?

Python React Developers often act as a bridge between backend and frontend teams, leveraging their expertise in both domains. They work closely with backend developers to design and implement RESTful APIs or GraphQL endpoints in Python frameworks like Django or Flask, while also collaborating with frontend specialists to build seamless user interfaces in React. Regular stand-ups, code reviews, and shared documentation are common practices that ensure effective communication and alignment across the team. This collaborative environment helps deliver cohesive and scalable web applications.

What is a Python React developer?

Python React Developers are software engineers who specialize in building web applications using Python for backend development and React.js for frontend development. These professionals are skilled in creating robust server-side logic with Python frameworks like Django or Flask, while designing interactive and responsive user interfaces with React. Their combined expertise ensures seamless integration between the frontend and backend, resulting in efficient, scalable, and user-friendly applications.

What is the difference between Python React Developer vs JavaScript Front-End Developer?

AspectPython React DeveloperJavaScript Front-End Developer
Primary SkillsPython, React.js, HTML, CSSJavaScript, React.js, HTML, CSS
Work EnvironmentWeb development, full-stack projects, backend integrationClient-side UI/UX, interactive web interfaces
Common EmployersTech companies, startups, agenciesTech firms, digital agencies, freelancing

Both roles involve React.js and web development, but Python React Developers typically work on backend integration using Python frameworks like Django or Flask, while JavaScript Front-End Developers focus solely on client-side interfaces. The choice depends on whether the role emphasizes backend skills alongside React or is primarily front-end focused.

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

To thrive as a Python React Developer, you need strong proficiency in Python for backend development and React.js for building dynamic user interfaces, often supported by a degree in computer science or related field. Familiarity with frameworks like Django or Flask, RESTful APIs, version control systems like Git, and modern JavaScript tools is essential, along with experience in cloud platforms or CI/CD pipelines. Excellent problem-solving, collaboration, and communication skills help you work effectively within development teams and translate client requirements into robust solutions. These skills ensure the delivery of high-quality, scalable applications that meet user needs and business objectives in a rapidly evolving tech landscape.

What are popular job titles related to Python React Developer jobs in Tulsa, OK?

For Python React Developer jobs in Tulsa, OK, the most frequently searched job titles are:

Python React Developer jobs near you

Full Stack Software Engineer - Insight Analytics

CCT

Tulsa, OK • On-site

Full-time

Re-posted 11 days ago

Job description

About the Role

We're hiring a full stack engineer to help us ship a next-generation analytics product for the gaming and hospitality industry. You'll join a small, senior team building a unified reporting and insights platform from the ground up, with a Beta release this summer and GA later in the year.

You'll work across our TypeScript stack with embeddable React components on the frontend and TypeScript Lambda backends on AWS to deliver dashboards, drill-throughs, and the operational machinery (CI/CD, observability, query performance, distribution) that turns features into a production-grade product. We use Cube.dev as our semantic layer and Embeddable for our customer-facing analytics surfaces.

The team is small and the surface area is wide. In the next twelve months, the work spans live-data integration, dashboard configuration, query performance and pre-aggregation, and enterprise security. You should expect to own features end-to-end, from technical design through deploy and validation.

We build with AI-first development practices. Claude Code is a core part of how we work, not a side experiment, and we treat investing in our shared context library, prompts, and process as part of the job. To be clear: we're a spec-driven shop, not a vibe-coding shop. AI lets us move faster on real architecture and real engineering; it doesn't replace the thinking.

What you'll do
  • Design and ship full-stack features across our TypeScript frontend and TypeScript Lambda backends.
  • Model data and metrics in Cube.dev; build embedded analytics experiences using Embeddable components.
  • Own the production lifecycle of your features: CI/CD, performance, observability, and post-deploy validation.
  • Implement your own AWS infrastructure (Lambda, IAM, networking, storage) using Terraform; we have a dedicated AWS engineer who will review and partner with you on the harder pieces.
  • Work day-to-day in Claude Code and contribute to the team's AI context library, prompts, and process improvements.
  • Pair with our designer, data engineers, and dashboard configuration lead to land features that hold up against real customer data.
Requirements
  • 3-5 years of professional software engineering experience shipping production systems.
  • Strong working knowledge of TypeScript across frontend (React) and backend (Node/Lambda or similar).
  • Familiarity with Python. We don't write a ton of it in this role, but enough that you should be comfortable reading and contributing where it shows up.
  • Real experience using Claude Code or comparable agentic coding tools as part of your daily workflow.
  • Hands-on experience with AWS in a production environment.
 

Bonus

  • Experience building analytics or BI products (dashboards, drill-down, semantic modeling, query performance).
  • Familiarity with Cube.dev or comparable semantic layers (dbt + a serving layer, LookML, AtScale, etc.).
  • Experience with Embeddable or comparable embedded analytics frameworks.
  • Terraform or other IaC. You don't need to be the AWS expert on the team, but if you can spin up your own infrastructure and bring it for review, that's a strong plus.
  • Experience with serverless architectures and event-driven systems on AWS.
  • Background working with data pipelines, warehouses (Iceberg, Snowflake, Redshift, etc.), or pre-aggregation strategies.
How we work
  • Spec-driven development backed by AI tooling - we plan deliberately, then move fast.
  • Small team, high ownership, low ceremony. Engineers carry features end-to-end, weigh in on architecture and product decisions, and contribute to each other's reviews. Even as we grow, we expect that to stay true: more hands on the work, but the same expectation that you own what you ship.
  • AI tooling is part of how we build. We're investing in it deliberately and continuously, not as a novelty.
  • We care about getting the architecture right for the long haul, and we'd rather take a beat to plan than rebuild later.

About CCT 

CCT is the creator of Casino Insight, the award-winning platform trusted by more than 350 casinos worldwide to automate cage operations, revenue audits, and operational analysis. Since 2012, Casino Insight has helped casinos replace manual work with streamlined workflows, improving accuracy, compliance, and profitability. 

Headquartered in Tulsa, Oklahoma, CCT integrates seamlessly with leading casino management, hospitality, and financial systems-delivering measurable ROI and empowering teams to work smarter at every level. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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