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Mid Level Python Flask Developer Jobs in Taylor, TX

VBeyond

Python Developer / Engineer

Austin, TX · On-site

$49.75 - $68.50/hr

... level and low-level design documents. * Determine code quality and test coverage; design and ... Hands-on design and development using Python, Flask, Django, AsyncIO , etc. * Solid understanding ...

Prepora

Python Developer

Austin, TX

$80K - $100K/yr

We are hiring a Python Developer to join our dynamic team. The ideal candidate will have a strong ... Django or Flask. - Familiarity with front-end technologies (JavaScript, HTML, CSS) is a plus ...

krg technology inc

Python Developer

Austin, TX

$49.75 - $68.75/hr

... Flask / Web2Py Self-motivated and able to work without supervision Additional Information All your information will be kept confidential according to EEO guidelines.

Omni Inclusive

Python App Developer

Austin, TX · On-site

$49.75 - $68.50/hr

Python Application Development, Python Web development frameworks - Django / Flask, APIs, Microservices, ORMs, Linux, Git, REST, DevOps Good to Have * Hands-on experience with Python libraries ...

ClifyX

Python Automation lead

Austin, TX · On-site

... engineering and Python ecosystems. Lead the design and development of data processing pipelines leveraging Apache Spark and Scala. Architect and implement backend services and APIs using Flask to ...

AceStack LLC

Python Matlab Engineer

Austin, TX · On-site

Python Matlab Engineer Location : Austin, TX (ONSITE) FULLTIME ONLY • Experience working with ... Flask or Django and experienced in designing and implementing RESTful APIs • Nice to have ...

Sharp Infotech Inc.

Senior Python AI Engineer

Austin, TX · On-site

$120K - $162K/yr

Senior Python AI Engineer We are seeking a highly skilled Senior Python AI Engineer with expertise ... Python 3.x * FastAPI / Flask / Django * Generative AI (OpenAI, Claude, Gemini, Llama) * Large ...

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How much do mid level python flask developer jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for mid level python flask developer in Taylor, TX is $59.20, according to ZipRecruiter salary data. Most workers in this role earn between $48.80 and $67.26 per hour, depending on experience, location, and employer.
Mid Level Python Flask Developer jobs near you
Python Developer / Engineer

Python Developer / Engineer

VBeyond

Austin, TX • On-site

$49.75 - $68.50/hr

Other

Posted 3 days ago

Job description

Role: Python Developer / Engineer
Location: San Jose, CA / Costa Mesa, CA / Austin, TX (Hybrid)
Mode of hire: Contract
Job Description:
To join our FSD Product Development team. This is a great opportunity for someone who specializes in building large-scale, cloud-based big data and MLOps platforms and APIs to access timely, accurate, and relevant data.
An ideal candidate will have built scalable platforms that integrate diverse data sources and provide comprehensive data capabilities to all Experian products and delivery channels.
Responsibilities
What you'll be doing:
  • Partner with Architecture/Product/CloudOps/Engineering teams to craft highly scalable, flexible, and resilient cloud architectures that address customer business problems and accelerate the adoption of cloud services.
  • Design and implement complex architectural solutions using AWS design principles, best practices, and industry standards.
  • Build scalable, reliable, and cost-efficient ML pipelines using Python, AWS services (SageMaker, Lambda, Step Functions, S3, ECR, etc.), and container technologies (Docker, ECS/Fargate).
  • Lead technical design reviews, guide engineering teams on architectural best practices, and create high-level and low-level design documents.
  • Determine code quality and test coverage; design and implement tests to ensure high-quality software.
  • Communicate and explain technical/architectural decisions to product, development, and delivery teams.
  • Drive continual improvement in quality and efficiency, including defect prevention/root cause analysis, and suggest improvements to technology and efficiency.
  • Perform proof of concept (PoC) work for integrating new technologies into the existing product.
  • Comprehend detailed project specifications and adapt to various technologies while working on multiple projects simultaneously.
  • Participate in code reviews of software engineers to deliver high-quality solutions.
  • Collaborate closely with the product team and actively participate in business requirement analysis.
  • Lead and mentor junior team members.
  • Research and implement performance tuning and enhancements for optimal infrastructure usage.
Knowledge, Experience & Qualifications
What your background looks like:
  • BS in Computer Science or related fields; MS preferred.
  • 8+ years of experience in key engineering roles (technical lead, software engineer, software architect).
  • 5+ years of experience with Amazon Web Services (AWS), architecting and deploying cloud-native solutions.
  • Deep understanding of cloud computing, workload transition, AWS Well-Architected Framework, industry standards, and best practices.
  • Strong experience with MLOps platforms: AWS SageMaker, Kubeflow, or MLflow.
  • Hands-on design and development using Python, Flask, Django, AsyncIO, etc.
  • Solid understanding of distributed systems, integration, testing, and troubleshooting.
  • Experience with monitoring distributed systems, and strategies for error detection and recovery.
  • Experience designing and developing APIs, Real-Time Systems, and Microservices.
  • Familiarity with AWS services: EKS, S3, RDS, Lambda, Aurora, ECS-Fargate.
  • Eagerness to learn new frameworks and build new processes from scratch.
  • Demonstrated familiarity with CI/CD processes and tools (CodeCommit, CodeDeploy, CodePipeline, Jenkins, Harness, etc.).
  • Experience integrating with async messaging/logging/queues: Kafka, RabbitMQ, or SQS.
  • Strong knowledge of software development processes and project management methodologies.
  • Excellent problem-solving, analytical, communication, and documentation skills.
  • Ability to lead cross-functional initiatives and work effectively in dynamic environments.
  • Collaborative mindset, comfortable working with globally distributed teams.
Nice to Have
  • Experience with monitoring/logging tools such as Dynatrace and Splunk.
  • Familiarity with ML frameworks: TensorFlow, PyTorch, scikit-learn.
  • Experience with orchestration tools: Kubeflow, MLflow, Airflow, etc.
  • Background in building automated/scheduled pipelines for analytical processes.

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