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Api Python Jobs in Utah (NOW HIRING)

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

... in API Test Automation Engineering with hands-on experience in creating and maintaining automated testing frameworks. * Programming Skills: Proficiency in Python (3-5+ years) or another object ...

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

... in API Test Automation Engineering with hands-on experience in creating and maintaining automated testing frameworks. * Programming Skills: Proficiency in Python (3-5+ years) or another object ...

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site

... in API Test Automation Engineering with hands-on experience in creating and maintaining automated testing frameworks. * Programming Skills: Proficiency in Python (3-5+ years) or another object ...

Canopy

Senior QA Automation Engineer

South Jordan, UT · On-site +1

... in API Test Automation Engineering with hands-on experience in creating and maintaining automated testing frameworks. * Programming Skills: Proficiency in Python (3-5+ years) or another object ...

Zions Bank

Software Engineer

Midvale, UT · Hybrid

Working knowledge of REST, JSON, SOAP, XML, Python, Java, JavaScript, XSLT, API security policies (OAuth, JWT, JWE, and HMAC), and relational databases. * Knowledge of software engineering practices ...

Zions Bancorporation

Software Engineer

Midvale, UT · On-site

Working knowledge of REST, JSON, SOAP, XML, Python, Java, JavaScript, XSLT, API security policies (OAuth, JWT, JWE, and HMAC), and relational databases. * Knowledge of software engineering practices ...

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Api Python information

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 Utah? For Api Python jobs in Utah, the most frequently searched job titles are:
What job categories do people searching Api Python jobs in Utah look for? The top searched job categories for Api Python jobs in Utah are:
What cities in Utah are hiring for Api Python jobs? Cities in Utah with the most Api Python job openings:
Api Python jobs near you
Python Data Engineer / API Developer

Python Data Engineer / API Developer

Inficare Technologies

Salt Lake City, UT • On-site

$48.50 - $67/hr

Full-time

Posted 3 days ago

Job description

Role : Python Data Engineer / API Developer
Location: Salt Lake City Its day 1 onsite
Duration: Long term
Key: Python, PySpark, GCP, API development
Role Overview
We are seeking a highly skilled Python Data Engineer / API Developer with strong hands-on experience in PySpark, cloud-based data engineering on GCP, and API development. The ideal candidate should have expertise in building scalable data pipelines, working with distributed clusters, and developing secure APIs for enterprise-grade applications.
Key Responsibilities
  • Design, develop, and maintain scalable data pipelines for batch and/or real-time processing.
  • Build and optimize PySpark applications running on distributed clusters.
  • Develop secure and scalable Python-based APIs.
  • Work with cloud-native GCP services including BigQuery, Composer, DAGs, and Cloud Storage Buckets.
  • Implement data quality checks, validations, and monitoring frameworks within pipelines.
  • Collaborate with cross-functional teams including data analysts, BI teams, and platform engineers.
  • Ensure performance optimization, reliability, and security best practices across solutions.

Required Skills & Qualifications
  • Strong hands-on experience with PySpark and distributed cluster computing.
  • Proven experience in building Python APIs with a focus on security and scalability.
  • Strong knowledge of API frameworks such as FastAPI or Flask.
  • Hands-on experience with Google Cloud Platform (GCP) services:
    • BigQuery
    • Composer
    • DAG orchestration
    • Cloud Storage Buckets
  • Experience in building robust batch and/or real-time data pipelines.
  • Strong understanding of data quality frameworks and practices.

Preferred Skills
  • Experience with BI and reporting tools such as:
    • Power BI
    • MicroStrategy
  • Familiarity with CI/CD pipelines and DevOps practices is an added advantage.
  • Exposure to data governance and monitoring tools is a plus.

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