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Python Flask Developer Remote Jobs in Fairfield, OH

dunnhumby

Senior Applied Data Scientist

Cincinnati, OH · On-site +1

May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work ... programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and * Quality ...

DataAnnotation

Back End Developer

Wyoming, OH · Remote

$40/hr

To apply to this role, you will need to be proficient in either Python and/or JavaScript. Your role ... Benefits This is a full-time or part-time REMOTE position You'll be able to choose which projects ...

DataAnnotation

Backend Developer

Wyoming, OH · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

DataAnnotation

React Developer - AI Trainer

Wyoming, OH · On-site +1

$60/hr

Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ... JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Excellent writing and ...

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How much do python flask developer remote jobs pay per hour?

As of May 30, 2026, the average hourly pay for python flask developer remote in Fairfield, OH is $55.21, according to ZipRecruiter salary data. Most workers in this role earn between $45.48 and $62.69 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Python Flask Developer in a remote role, and why are they important?

To excel as a remote Python Flask Developer, you need strong proficiency in Python programming, experience with the Flask web framework, and a solid understanding of RESTful API design, usually supported by a relevant degree or portfolio. Familiarity with tools such as Git, Docker, cloud platforms (e.g., AWS), and CI/CD pipelines is highly valued, alongside knowledge of databases like PostgreSQL or MongoDB. Excellent problem-solving, self-motivation, and clear written communication are crucial soft skills for effective remote collaboration and project delivery. These skills ensure the developer can build robust web applications, work independently, and contribute efficiently to distributed teams.

What are the main collaboration and communication tools used by remote Python Flask developers, and how do they impact daily workflow?

Remote Python Flask developers typically rely on tools like Slack or Microsoft Teams for instant messaging, Zoom or Google Meet for virtual meetings, and project management platforms such as Jira or Trello for tracking tasks. Version control is managed using Git services like GitHub or GitLab. These tools facilitate seamless collaboration with cross-functional teams, help maintain transparency, and ensure that everyone stays aligned on project goals, making remote work efficient and organized.

What does a Python Flask Developer do when working remotely?

A Python Flask Developer working remotely designs, develops, and maintains web applications using the Flask framework and the Python programming language. Their responsibilities often include building and integrating APIs, writing backend logic, managing databases, and collaborating with team members through digital communication tools. Remote developers also ensure code quality through testing and debugging, while keeping up with project requirements and deadlines. Effective communication and self-motivation are essential for success in a remote role.

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

AspectPython Flask Developer RemotePython Django Developer Remote
Required CredentialsProficiency in Flask, Python, REST APIs, basic database knowledgeProficiency in Django, Python, REST APIs, database management
Work EnvironmentRemote, collaborative teams, startup or tech companiesRemote, often larger organizations or SaaS providers
Industry UsageWeb development, microservices, lightweight APIsFull-stack web apps, enterprise solutions, content management
Search & Comparison IntentCommonly compared due to similar Python frameworks and remote work options

Both Python Flask Developer Remote and Python Django Developer Remote roles involve remote work with Python expertise. Flask developers typically focus on lightweight, flexible microservices, while Django developers work on more comprehensive, full-featured web applications. The choice depends on project complexity and specific framework familiarity.

What cities near Fairfield, OH are hiring for Python Flask Developer Remote jobs? Cities near Fairfield, OH with the most Python Flask Developer Remote job openings:
Python Flask Developer Remote jobs near you

Senior Applied Data Scientist

dunnhumby

Cincinnati, OH • On-site, Remote

Other

Posted 19 days ago

Job description

Our mission: to enable businesses to grow and reimagine themselves by becoming advocates and champions for their Customers. With deep heritage and expertise in retail - one of the world's most competitive markets, with a deluge of multi-dimensional data - dunnhumby today enables businesses all over the world, across industries, to be Customer First.

Job Title: Senior Applied Data Scientist

Job Location: 3825 Edwards Road, #600, Cincinnati, OH 45209 (May work remotely)

Job Duties:

WHY I DO MY JOB | Job purpose

To lead and execute projects to distil complex problems into compelling insights, using the best of dunnhumby science and making recommendations that resonate with clients and lead them to action. May telecommute 100% of the time from their home office, consistent with dunnhumby's remote work policy.

WHAT I DO | Key accountabilities

  • Build strong relationships with internal contacts & external clients to ensure full understanding of client challenges, growth strategy and agreed measures of success for the project.
  • Investigate and implement the most appropriate analytical technique for each project, role modelling the re-use & further development of global solutions or code written by others.
  • Deploy data science algorithms and market products on chosen tech stack for efficient and cost-effective delivery.
  • Identify opportunities to grow client engagement by proactively solving client's strategic questions, using a mix of products and advanced data science techniques that support executive decision making and calls to action.
  • Participate in client meetings as required to present methodology and solutions through effective story telling techniques.
  • Work closely with global products team to provide market feedback for enhancing an existing product offering or augmenting the catalogue with a market-based product that can become global offering.
  • Ensure smooth running of your data analytics projects and support junior team members with their projects.
  • Lead by example by following dunnhumby Quality Assurance processes, ways of working and coding standards.
  • Provide advice and support to colleagues to resolve challenges and support code reviews.

Job requirements:

  • Bachelor's degree (or foreign educational equivalent) in Computer Science, Mathematics, Applied Statistics, Engineering or related field.
  • In addition to the degree, must have at least 4 years of experience in each of the following:
  • Software development, utilizing methodologies and tools such as Agile (Scrum Master) and Code Merge, and programming in languages including PySpark, Python, Flask/Dash, C++, and HTML; and
  • Quality Assurance (QA) and Testing, including the development, execution, and maintenance of automated and manual testing frameworks.

Within this, must have at least 2 years of experience in each of the following:

  • Handling large data volumes with modern data processing tools, e.g. by using Hadoop, Spark, SQL, and Python;
  • Data Interpretation and Insight Analysis; performing data interpretation, insight generation, and analytical analysis to support business and technical decision-making;
  • Programming experience on any standard data mining and modelling packages such as Python and R; and
  • Applying advanced statistical models and machine learning algorithms to develop and implement solutions to complex analytical and business problems.

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