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Api Python Jobs in Miami, FL (NOW HIRING)

Familiarity with Cluster API (CAPI) and/or Cluster API Provider OpenStack (CAPO), or strong ... Hands-on experience with scripting and automation (e.g., Bash, Python, or Go) for operational tasks.

Production experience with Python and ArcGIS API for Python and ArcPy. * Production experience with Oracle and/or SQL Server geodatabase management / SQL querying multi-environment setups (Dev, Test ...

... Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn. • Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers ...

... Python and AI/ML libraries like TensorFlow, PyTorch, and Scikit-Learn. · Hands-on experience with LLMs, NLP models, prompt engineering, and tools like OpenAI API, Hugging Face Transformers ...

GIS Analyst

Miami, FL · On-site

$65K - $85K/yr

Production experience with Python and ArcGIS API for Python and ArcPy. * Production experience with Oracle and/or SQL Server geodatabase management / SQL querying multi-environment setups (Dev, Test ...

Lead Engineer

Miami, FL

$98K - $129.10K/yr

Hands-on experience with AWS application patterns and services (e.g., Lambda, API Gateway, ECS/EKS ... Strong software engineering skills with one or more languages such as Node.js, Java, or Python ...

New

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

Proficiency in Python (or similar) and experience with frameworks like LangChain, TensorFlow, or PyTorch. * Application & API Development: Familiarity with RESTful APIs, microservices architecture ...

NICE TO HAVES Python, R, or SQL --- scripting and querying at production scale. Software Development Principles: version control (Git), CI/CD, API integration. Familiarity with containerization ...

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Api Python information

See Miami, FL salary details

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$56

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How much do api python jobs pay per hour?

As of May 29, 2026, the average hourly pay for api python in Miami, FL is $56.07, according to ZipRecruiter salary data. Most workers in this role earn between $46.20 and $63.70 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an API Python Developer, and why are they important?

To thrive as an API Python Developer, you need a solid understanding of Python programming, RESTful API design, and experience with frameworks like Flask or Django, often supported by a degree in computer science or related field. Familiarity with version control systems like Git, API testing tools such as Postman, and containerization platforms like Docker is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top developers apart. These skills ensure robust, secure, and scalable API solutions that meet business requirements and facilitate seamless collaboration within development teams.

What are some common challenges faced by API Python developers when integrating third-party services, and how can they be addressed?

API Python developers often encounter challenges such as inconsistent documentation, rate limiting, and unexpected changes in third-party APIs. To address these, it's important to thoroughly read and test API documentation, implement robust error handling and retry logic, and use environment variables or configuration files to manage sensitive credentials. Developers should also stay updated on API version changes and participate in relevant developer communities to share solutions and best practices.

What is an API Python developer?

An API Python developer is a software professional who specializes in creating, implementing, and maintaining Application Programming Interfaces (APIs) using the Python programming language. Their main responsibilities include designing RESTful or GraphQL APIs, integrating third-party services, ensuring secure and efficient data exchange, and writing clean, scalable code. API Python developers often work closely with front-end developers and other back-end engineers to support seamless communication between different parts of a software system.

Can Python make API calls?

Python can make API calls using libraries such as requests or http.client, which allow developers to send HTTP requests and handle responses. As an API developer or Python programmer, understanding how to work with these libraries is essential for integrating external services or data sources into applications.

What is the difference between Api Python vs Data Analyst?

AspectApi PythonData Analyst
Required SkillsPython programming, API integration, data manipulationData visualization, statistical analysis, Excel, SQL
Work EnvironmentSoftware development, backend services, data pipelinesBusiness insights, reporting, data interpretation
Common EmployersTech companies, startups, data-driven organizationsFinance, marketing, consulting firms

Api Python focuses on developing and maintaining APIs using Python, emphasizing coding and technical skills. Data Analysts interpret data to provide business insights, often using tools like Excel and SQL. While Api Python roles are more technical and development-oriented, Data Analysts focus on analyzing data to support decision-making. Both roles may overlap in data handling but serve different primary functions within organizations.

What are popular job titles related to Api Python jobs in Miami, FL? For Api Python jobs in Miami, FL, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Miami, FL look for? The top searched job categories for Api Python jobs in Miami, FL are:
What cities near Miami, FL are hiring for Api Python jobs? Cities near Miami, FL with the most Api Python job openings:
AI Forward Deployed Engineer (FDE) Senior Consultant

AI Forward Deployed Engineer (FDE) Senior Consultant

Deloitte

Miami, FL

$52.75 - $68.25/hr

Other

Posted 25 days ago


Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

59th of 138 rated financial services


Job description

Position summary

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends 5/31/2026.

Work you will do:

1. Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

2. Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3. Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Core Engineering & Architecture

         5-8+ years of hands-on experience in full stack development across frontend and backend technologies.

         Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).

         Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).

         Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).

         Experience building and integrating REST APIs, microservices, and serverless architectures.

         Experience deploying applications on AWS, Azure, or GCP.

         Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

AI / GenAI Capabilities

         1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments

         1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK

         Understanding of AI system architectures and ability to align application pipelines to support them.

Client-Facing & Delivery Ownership

         Ability to independently own defined scope end-to-end with consistent, high-quality output.

         Experience working directly with business stakeholders to translate requirements into technical solutions.

         Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.

         Strong accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 - 208,300.

#CDRCyber26

Qualifications:

Position summary

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, and proactively manage their security posture.


Recruiting for this role ends 5/31/2026.

Work you will do:

1. Solution Delivery & Engineering (Primary Focus)

  • Translate business and cybersecurity needs into high-quality technical solutions (including AI/GenAI-enabled capabilities where applicable), and deploy them for clients in alignment with their requirements and architecture
  • Identify, troubleshoot, and resolve technical issues within scope

2. Pre-Sales & Deal Shaping

  • Partner with stakeholders to help shape technical solutions during pursuits, including leading demos/POCs/prototypes
  • Contribute to solution design, ensuring alignment between client needs and delivery feasibility.

3. Product Feedback & Continuous Improvement

  • Capture and translate delivery learnings into actionable product or platform improvements, distinguishing reusable enhancements from client-specific needs.
  • Enable client teams through structured knowledge transfer, clear documentation, and practical runbooks.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

As a Cyber Forward Deployed Engineer (FDE), you will work at the intersection of client engagement and hands-on engineering, embedding directly with client engagement teams to design, build, and deliver high-quality cybersecurity and AI-enabled solutions. You will support end-to-end technical delivery while contributing to deal shaping, influencing product direction, and providing appropriate support when needed for clients' post-deployment.

Required Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, or a related field.
  • Limited immigration sponsorship may be available.
  • Ability to travel up to 20% on average, based on the work you do and the clients and industries/sectors you serve.

Core Engineering & Architecture

         5-8+ years of hands-on experience in full stack development across frontend and backend technologies.

         Strong proficiency in JavaScript/TypeScript, HTML5, CSS3, and modern frameworks (React, Angular, or Next.js).

         Backend expertise in Node.js, Python (Django/Flask), or Java (Spring Boot).

         Experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Redis).

         Experience building and integrating REST APIs, microservices, and serverless architectures.

         Experience deploying applications on AWS, Azure, or GCP.

         Familiarity with Docker, CI/CD pipelines, and development lifecycle tools (e.g., Git, Azure DevOps).

AI / GenAI Capabilities

         1+ years of hands-on experience building and deploying GenAI/LLM-powered solutions in client or production environments

         1+ years of experience with one of the following Frontier Gen AI Platforms: Anthropic, Google or Open AI, including hands on experience with one of the following key platforms/products; Claude API, Claude for Enterprise, Claude Code, Gemini API, Vertex AI Agent Builder, Grounding, Google Workspace integration, GPT-4o, Assistants API, Responses API, OpenAI Agents SDK

         Understanding of AI system architectures and ability to align application pipelines to support them.

Client-Facing & Delivery Ownership

         Ability to independently own defined scope end-to-end with consistent, high-quality output.

         Experience working directly with business stakeholders to translate requirements into technical solutions.

         Strong communication skills with the ability to articulate technical concepts, risks, and trade-offs.

         Strong accountability and ownership mindset in achieving client outcomes.

Preferred Qualifications:

  • Familiarity with cybersecurity concepts (e.g., application security, cloud security, identity, detection engineering).
  • Experience with DevSecOps practices and secure software development lifecycle.
  • Exposure to search/analytics platforms (Elasticsearch/OpenSearch) or graph databases (Neo4j).
  • Knowledge of Kubernetes, GitOps, or advanced cloud-native patterns.
  • Cloud certifications (AWS, Azure, GCP).
  • Basic familiarity with ML frameworks (TensorFlow, PyTorch).

Compensation
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions, including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100 - 208,300.

#CDRCyber26

Education:Bachelor's DegreeEmployment Type:

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