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Api Python Jobs in Miami, FL (NOW HIRING)

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL

Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL · On-site

Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source ...

SOSi

Mid-Level Geospatial Research Analyst

Doral, FL

Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source ...

Sarian, Inc.

Java with C/C++ Program

Sunrise, FL · On-site

$54.50 - $69.50/hr

Python/ shell scripting, Golang and Rest API Roles & Responsibilities • 4-5 Years of relevant experience • Expertise in Java, C/C++ Programing, Golang and Rest API Technical Experience • ...

Intraedge

Machine Learning Engineer

Sunrise, FL · Hybrid

Strong python, have work experiment on LLM, gen AI, Lang chain, Lang Graph, Python API, Google Cloud Platform Key Responsibilities Develop and productionize GenAl applications using LLMs (open-source ...

MSR Cosmos

Data Engineer with DynamoDB

Miami, FL · On-site

Expert level proficiency in Python for data processing, ETL development, and automation (PySpark ... Proficiency with Postman for API development, testing, and collaboration * Strong SQL skills and ...

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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:
Api Python jobs near you

Mid-Level Geospatial Research Analyst

SOSi

Doral, FL

Full-time

Posted 17 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

**This position is contingent upon contract award**

SOSi is seeking a Mid-Level Geospatial Research Analyst to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • Support geospatial data collection, curation, and analysis, ensuring research outputs align with mission objectives.
  • Apply geospatial analytical techniques, including spatial modeling, remote sensing interpretation, and GIS-based risk assessments.
  • Document and validate geospatial data sources, ensuring alignment with metadata governance and interoperability standards.
  • Contribute to the Geospatial Research Insights Report, detailing analytical methodologies and operational applications of geospatial intelligence.
Qualifications

Minimum Requirements:

  • Active TOP SECRET Clearance.
  • Bachelor's degree in Geography, Geospatial Science, GIS, Remote Sensing, Environmental Science, Computer Science, Business Analytics or a closely related field; or
    • A minimum of five (5) years of experience creating geospatial analytic products in these fields of study or supporting DoD geospatial and all-source analysis and production, including supervising analysis, research, and production.
  • Proposed personnel possess the expertise, knowledge, and capability to both apply and lead geospatial analytics and all-source intelligence methodologies, theories, and frameworks; and AI/ML, data quality, enrichment, and stewardship processes and techniques to research to:
    • Develop geospatial and all-source intelligence analytic products.
    • Conduct data stewardship techniques best practices.
    • Collaborate with other data providers and analysts to produce and curate country and regional pages on program.
    • Engage and collaborate with customers to understand analytic requirements.
    • Working knowledge of Esri ArcGIS Enterprise systems and data steward tools, catalogs, techniques, and processes.

Preferred Qualifications:

  • Certifications or training in Esri GIS or related technologies (e.g., ArcGIS Pro, ArcGIS REST API), Python, R, JSON, HTML/XML, SQL, NoSQL, PostgreSQL, Open-Source Intelligence (OSINT), and All-Source Intelligence analytic methodology are advantageous but not required.
Additional Information

Work Environment

  • Normal office conditions.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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