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Api Python Jobs in Nevada (NOW HIRING)

Strong Python programming skills with experience in data processing, automation, and API integrations. * Experience with Databricks, PySpark, SQL, and Delta Lake. * Experience integrating and ...

New

Strong understanding of RESTful API design, JSON, XML, and OpenAPI (Swagger) specifications. * Experience developing and debugging custom policies using JavaScript, Python, or Java. * Solid knowledge ...

... and API testing. * Bachelor's degree or higher in Engineering, Computer Science, or a related technical field. * Technical Expertise: * Hands-on proficiency in Python and Go for backend test ...

Claude API, Claude for Enterprise, tool use, extended thinking, Claude Code, Gemini API, Vertex AI ... Experience with object-oriented programming using languages such as Java, Python, or JavaScript ...

... and API testing. * Bachelor's degree or higher in Engineering, Computer Science, or a related technical field. * Technical Expertise: * Hands-on proficiency in Python and Go for backend test ...

... and API testing. * Bachelor's degree or higher in Engineering, Computer Science, or a related technical field. * Technical Expertise: * Hands-on proficiency in Python and Go for backend test ...

Required : • 6+ Years Experience • Object-oriented Programming • Web services & API standards (REST/OAuth/JSON) • Programming & Scripting Languages (2 or more of Java, C++, Scala, JS, Python ...

Senior Software Engineer

Mccarran, NV

$125K - $165K/yr

Strong Python skills; production React experience * Experience building and shipping production applications on AWS * API design and integration patterns * Comfort working independently in a remote ...

Quality Engineer II

Las Vegas, NV · On-site

$68K - $88K/yr

NET technologies, Java, Python, API and web services, stored procedures, and middle-tier applications • Experience with automation frameworks. • Experience with end-to-end software system testing ...

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Api Python information

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.

Which Python job is in demand?

Python development roles, including Python developers, data scientists, and backend engineers, are highly in demand across industries such as technology, finance, and healthcare. Skills in frameworks like Django or Flask, along with knowledge of APIs and data analysis, increase employability. Certifications and experience with cloud platforms can also enhance job prospects.

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.

Will AI replace Python devs?

AI is unlikely to fully replace Python developers, as their roles involve designing, maintaining, and optimizing AI systems, which require human expertise. Python developers also work on diverse tasks such as software development, data analysis, and automation that benefit from creative problem-solving and domain knowledge. AI tools can assist developers but are not a complete substitute for their skills and understanding of complex systems.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of frameworks like Django or Flask, and familiarity with version control and databases enhances employability.

How much do API developers make?

API Python developers typically earn between $70,000 and $130,000 annually, depending on experience, location, and industry. Skilled developers with expertise in RESTful APIs, Flask, or Django and relevant certifications tend to command higher salaries, especially in tech hubs or companies with complex integration needs.

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.
Data and Automation Engineer - Python

Data and Automation Engineer - Python

Plum Inc

Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

New


Job description

About the Role
We're looking for an AI-Enabled Data & Automation Engineer who thrives on solving complex data challenges through software and automation.
You'll be responsible for building scalable data pipelines, integrating data from multiple SaaS platforms, developing automation that powers lead generation and enrichment, and leveraging AI to dramatically accelerate development. You'll work with modern technologies including Python, Databricks, and LLM-powered tools to build solutions that directly impact business growth.
This role is ideal for someone who enjoys building, experimenting with new technologies, and continuously finding better and faster ways to solve problems.
Responsibilities
  • Design, build, and maintain scalable data pipelines for ingesting, processing, and enriching large datasets.
  • Develop Python-based automation for data collection, transformation, validation, and workflow orchestration.
  • Build and optimize data processing workflows using Databricks, PySpark, SQL, and Delta Lake.
  • Integrate and process data from multiple SaaS platforms through REST APIs and other integrations.
  • Develop scalable workflows for lead generation, company and contact enrichment, and sales intelligence.
  • Implement processes for data cleansing, deduplication, entity resolution, normalization, and contact/company matching.
  • Process structured, semi-structured, and JSON data from a variety of internal and external sources.
  • Collaborate with product, engineering, and go-to-market teams to translate business requirements into scalable technical solutions.
  • Identify opportunities to automate repetitive processes and improve operational efficiency.
  • Continuously evaluate and adopt new AI tools and technologies that improve development speed and data quality.

Requirements
Technical Skills
  • 3-7+ years of experience in Data Engineering, Marketing Operations, Sales Operations, or a related technical field.
  • Strong Python programming skills with experience in data processing, automation, and API integrations.
  • Experience with Databricks, PySpark, SQL, and Delta Lake.
  • Experience integrating and processing data from multiple SaaS platforms via APIs.
  • Strong understanding of lead enrichment, data quality, deduplication, entity resolution, and contact/company matching.
  • Experience working with structured, semi-structured, and JSON data.
  • Familiarity with Git and modern software development practices.
  • Undergraduate Degree in Computer Science, Engineering, Physics or other relevant degree
AI & Productivity
  • Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, ChatGPT, or similar AI development assistants.
  • Demonstrated ability to leverage AI to accelerate software development, automate workflows, improve data quality, and increase productivity.
  • Comfortable rapidly prototyping, testing, and iterating using AI-assisted development.
Preferred Qualifications
  • Hands-on experience with lead generation and sales intelligence platforms such as Apollo, Clay, LinkedIn Sales Navigator, ZoomInfo, or similar tools.
  • Experience with CRM platforms such as Salesforce or HubSpot.
  • Familiarity with LLM APIs and AI-powered applications.
  • Experience working in fast-paced startup environments.
  • Strong communication skills with the ability to work cross-functionally and take ownership from concept through delivery.

Plum AI, Inc looks forward to applicants from US based candidates. We are not working with outside recruiters. We appreciate individual, not AI generated, applications. We may disqualify applicants who use AI in any part of the interview process.
Benefits
What We Offer:
  • A fast-paced, collaborative startup culture with high visibility.
  • Autonomy, flexibility, and a flat corporate structure that gives you the opportunity for your direct input to be realized and put into action.
  • Opportunity to make a meaningful impact in building a company and culture.
  • Equity in a financial technology startup.
  • Generous health, dental, and vision coverage for employees and family members + 401K.
  • Eleven paid holidays and unlimited discretionary vacation days.
  • Competitive compensation and bonus potential.