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Programmer Python Salary Jobs in Meridian, ID (NOW HIRING)

SynergisticIT

Java Developer with Cloud

Boise, ID

$48.50 - $62.75/hr

In this job market also, our candidates are able to achieve multiple job offers and $100k+ salaries ... Currently, we are looking for entry-level software programmers, Java full stack developers, Python ...

zdata

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

Experience programming and/or scripting (python or java preferred) * Experience working with ... Annual salary DOE Excellent full benefits package; bonus potential. 40 hour work week. Up to 50 ...

zdata

Big Data DevOps Engineer

Boise, ID · On-site

$45.75 - $62.50/hr

Experience programming and/or scripting (python or java preferred) * Experience working with ... Additional Information This position includes the following: • Annual salary DOE • Excellent ...

Micron

Customer and System Enablement Engineer

Boise, ID · On-site

$81K - $260K/yr

Experience developing and using engineering-level software and scripts, including Python, Linux ... Our salary ranges are determined by role, level, and location.The range displayed on each job ...

Billing Document Specialists

Be Seen First

Senior Developer

Caldwell, ID · On-site

$65K - $115K/yr

Compensation & Benefits Competitive salary commensurate with experience. Health, dental, and vision ... Requirements 4+ years of professional development experience Strong Python 3 experience (FastAPI ...

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All JobsProgrammer Python Salary JobsProgrammer Python Salary Jobs in Meridian, ID

Programmer Python Salary information

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How much do programmer python salary jobs pay per hour?

As of Jun 19, 2026, the average hourly pay for programmer python salary in Meridian, ID is $66.02, according to ZipRecruiter salary data. Most workers in this role earn between $60.58 and $69.90 per hour, depending on experience, location, and employer.

Is Python hard to learn?

Python is considered one of the easier programming languages for beginners due to its simple syntax and readability. For programmers, learning Python involves understanding core concepts like variables, data types, and control structures, which can be quickly grasped with practice and available resources. The language is widely used in various fields, including data analysis, web development, and automation, making it a valuable skill for many programming jobs.

What pays more, C++ or Python?

For programmers, C++ developers often have higher average salaries than Python developers due to the complexity of C++ and its use in performance-critical applications like gaming and embedded systems. However, Python skills are highly in demand across data science, web development, and automation, which can also lead to competitive salaries. Salary differences depend on industry, experience, and location.

Is Python a high paying job?

Python programming is a skill that can lead to high-paying roles such as software developer, data scientist, or machine learning engineer. Salaries for Python-related jobs vary based on experience, location, and industry, but generally tend to be above average compared to many other programming languages.

What is the difference between Programmer Python Salary vs Data Analyst Salary?

AspectProgrammer Python SalaryData Analyst Salary
Required CredentialsProficiency in Python, programming skills, sometimes certifications in Python or related technologiesStatistical knowledge, data analysis skills, often a degree in statistics, data science, or related fields
Work EnvironmentSoftware development teams, tech companies, startupsBusiness environments, research firms, finance, healthcare
Industry UsageSoftware development, automation, backend servicesData interpretation, reporting, business insights

While Programmer Python roles focus on coding and software development using Python, Data Analysts primarily interpret data and generate reports. Salaries vary based on experience, location, and industry, but both roles require strong analytical skills and technical knowledge. Understanding these differences helps job seekers target the right roles and salary expectations.

What are the key skills and qualifications needed to thrive as a Python Programmer, and why are they important?

To thrive as a Python Programmer, you need strong coding skills in Python, a solid understanding of algorithms, data structures, and typically a degree in computer science or related field. Familiarity with frameworks like Django or Flask, version control systems like Git, and experience with databases are commonly required. Problem-solving ability, attention to detail, and effective communication are standout soft skills for this role. These skills and qualities are crucial for delivering robust software solutions, collaborating with teams, and keeping up with evolving technology.

What are some common challenges Python programmers face when working on large-scale projects?

Python programmers working on large-scale projects often encounter challenges such as managing code complexity, ensuring code performance, and maintaining consistent coding standards across the team. Collaboration with other developers, effective use of version control systems, and writing modular, well-documented code are essential to address these challenges. Additionally, integrating Python code with other technologies and legacy systems can require strong problem-solving skills and adaptability.

What is the average salary for a Python programmer?

The average salary for a Python programmer varies depending on experience, location, and industry. In the United States, entry-level Python programmers typically earn between $65,000 and $85,000 per year, while experienced developers can make upwards of $120,000 annually or more. Factors like certifications, advanced skills, and working in high-demand sectors such as finance or tech can increase earning potential. Salaries may also differ internationally, with local job markets influencing pay rates.

Is Python in high demand?

Python programmers are in high demand across many industries due to the language's versatility, ease of learning, and widespread use in data analysis, web development, and automation. Employers often seek Python skills along with knowledge of frameworks like Django or data libraries such as Pandas and NumPy.
Programmer Python Salary jobs near you
Senior Full Stack Engineer (Python, Serverless, AI Fluency)

Senior Full Stack Engineer (Python, Serverless, AI Fluency)

VYNYL

Boise, ID • On-site

$140K - $175K/yr

Other

Posted 16 days ago

Job description

The Role

As a Senior Full Stack Engineer, you will be a key leader across the entire software development lifecycle, from conceptual design to deployment and monitoring. You will be responsible for building robust, scalable backend services using Python and AWS Serverless technologies (Lambda, DynamoDB, SQS, EventBridge), developing event-sourced systems that provide complete state history and auditability.

A critical component of this role is a demonstrated fluency with modern AI/ML development tools (e.g., GitHub Copilot, Claude Code, agentic coding tools, large language models). We are looking for candidates who not only use these tools daily but can articulate a clear, thoughtful perspective on their limitations, security implications, and the strategic opportunities they create for the engineering profession.

Key Responsibilities
  • Lead the design and implementation of highly scalable, cost-efficient serverless backend services using Python and AWS (Lambda, API Gateway, DynamoDB, SQS, EventBridge).
  • Architect and build event-sourced systems and event-driven pipelines, ensuring reliable message processing, idempotency, and eventual consistency across distributed services.
  • Collaborate with product managers and designers to translate requirements into technical designs and shippable code.
  • Implement best practices for security, logging, monitoring, and infrastructure-as-code (e.g., Terraform or CloudFormation).
  • Perform rigorous code reviews, mentor junior and mid-level engineers, and drive technical excellence across the team.
  • Actively research, propose, and integrate new technologies and patterns, with a focus on optimizing development velocity and system performance.
  • Clearly articulate a professional point of view on how to effectively, securely, and ethically integrate AI tools into the software development lifecycle.
QualificationsRequired
  • 5+ years of professional experience in full-stack software development.
  • Expert-level proficiency in Python for backend development.
  • Strong working proficiency with Node.js.
  • Deep practical experience designing, deploying, and maintaining applications using serverless architectures (preferably AWS Lambda, API Gateway, and managed services).
  • Hands-on experience with DynamoDB, including single-table design patterns, GSI/LSI strategies, and performance optimization at scale.
  • Solid understanding of event sourcing and event-driven architecture patterns, including experience with message brokers or streaming services (e.g., SQS, SNS, EventBridge, or Kinesis).
  • Experience with CI/CD pipelines, automated testing, and Infrastructure-as-Code.
  • Demonstrated Fluency in AI-Assisted Development: Candidates must be able to demonstrate practical, hands-on experience using AI-powered coding tools to achieve specific, quantifiable productivity gains, while also clearly understanding and mitigating the associated risks (e.g., code quality, security, IP concerns).
Nice to Have
  • Experience with advanced AWS services (e.g., Kinesis, SageMaker, Step Functions).
  • Familiarity with TypeScript for robust front-end or Node.js development.
  • Proficiency with a modern front-end framework (e.g., React, Vue, or Angular).
  • Experience working in a regulated or compliance-focused environment.
  • A Bachelor's or Master's degree in Computer Science or a related technical field.
AI and the Evolution of Software Engineering & Ops

All candidates must be prepared to discuss and demonstrate the following during the interview process:

  • Practical AI Tool Usage: Specific examples of AI tools used in professional or personal projects to enhance productivity, solve complex problems, or accelerate development. If you have a preferred agentic tool setup, please share!
  • Understanding of AI Limitations: A clear understanding and articulation of the current technical, ethical, and accuracy limitations of modern AI tools in the engineering context.
  • Strategic AI Opportunity: A viewpoint on how AI tools create new opportunities for software engineering, such as shifting focus from boilerplate code to complex problem-solving or architectural design.
  • Evolution of the Engineering Role: A well-articulated point of view on how your role has already changed (e.g., new workflows, skills, ways of collaborating) due to the introduction of AI and how you expect the role to evolve in the coming years based on your assessment of coming advancements in AI tools and technologies.
Application Process

To apply, please submit your resume and a cover letter. Your cover letter should be informed by the "AI and Forward-Looking Requirements" section above.

The hiring process includes:

  • Initial screening email
  • A Technical Assessment Interview
  • A Panel Interview
Salary Range $140,000 - $175,000

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