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Python Programmer Jobs in Centereach, NY (NOW HIRING)

AI/ML Development Analyst

Norwalk, CT · On-site

$100K - $150K/yr

The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development . Recent college grads with this experience through ...

... in Python programming and understanding of the software development life cycle Knowledge of Linear Algebra, Statistics, and Mathematics concepts Collaborate with dynamic teams of engineers ...

Test Automation Engineer

Hauppauge, NY · On-site

$46.50 - $61.50/hr

Labview, NI Test Stand , Matlab Simulink, Perl, Python, C#, DO 160, NI Hardware * Bachelor or Masters degree from an accredited course of study, in engineering, in the field of Instrumentation ...

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Python Programmer information

See Centereach, NY salary details

$42

$71

$86

How much do python programmer jobs pay per hour?

As of Jun 21, 2026, the average hourly pay for python programmer in Centereach, NY is $71.25, according to ZipRecruiter salary data. Most workers in this role earn between $65.38 and $75.43 per hour, depending on experience, location, and employer.

Are Python programmers in demand?

Python programmers are in high demand across various industries due to the language's versatility, ease of use, and widespread adoption in data analysis, web development, and automation. Employers often seek candidates with skills in frameworks like Django or Flask and familiarity with libraries such as Pandas or NumPy. The demand is expected to grow as Python continues to be a key tool in emerging fields like artificial intelligence and machine learning.

Which pays more, C++ or Python?

For Python programmers, salary levels are generally comparable to those of C++ developers, with pay often depending on experience, location, and industry. In some regions and roles, C++ developers may earn slightly more due to its use in performance-critical applications, but Python's popularity in data science, web development, and automation can also command high salaries. Overall, both skills are highly valued, and compensation varies based on expertise and job market demand.

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 proficiency in Python programming, understanding of algorithms, and a background in computer science or related fields. Familiarity with development tools like Git, testing frameworks such as PyTest, and experience with libraries like Django or Flask are typically required. Problem-solving ability, attention to detail, and effective teamwork are standout soft skills for this role. These skills ensure the development of reliable, scalable software solutions and smooth collaboration within technical teams.

Will AI replace Python coders?

AI is unlikely to fully replace Python programmers, as their role involves designing, debugging, and understanding complex logic that AI tools currently cannot replicate. Instead, AI can serve as a productivity aid, automating repetitive tasks and assisting with code generation, allowing programmers to focus on higher-level problem solving and system design. Staying updated with new tools and improving problem-solving skills remain important for Python developers in an evolving tech environment.

What Do Python Programmers Do?

A Python programmer uses the programming language called Python to write code for various applications, including big data manipulation, web servers, program scripting, and more. In this career, the software allows you to program quicker using fewer lines, which creates an easy-to-read code. You can find work in web or game development, data visualization, and analyzing data, among others. Your job duties vary based on your specialization, but they usually include working with files and extensive support libraries, creating, testing and implementing new or updated applications, and examining the code to spot problems.

What are some common challenges Python Programmers face when working on large-scale projects, and how can they overcome them?

Python Programmers working on large-scale projects often encounter challenges such as managing code maintainability, optimizing performance, and coordinating with cross-functional teams. To address these, it’s essential to follow best practices like modular programming, using virtual environments, and employing version control systems such as Git. Regular code reviews and clear communication within the team help maintain code quality and ensure everyone is aligned. Leveraging frameworks and libraries effectively can also streamline development and reduce repetitive tasks.

What is the difference between Python Programmer vs Software Developer?

AspectPython ProgrammerSoftware Developer
Required CredentialsTypically a degree in Computer Science or related field; proficiency in PythonDegree in Computer Science or related; proficiency in multiple programming languages including Python
Work EnvironmentOften in tech companies, startups, or freelance projects focused on Python-based tasksIn various industries, working on full software solutions, often across multiple languages and platforms
Employer & Industry UsageTech firms, data analysis, automation projectsSoftware firms, IT departments, app development

While a Python Programmer specializes in Python coding, a Software Developer works on broader software solutions, often using multiple languages. Both roles require similar foundational skills, but Software Developers typically handle more comprehensive project responsibilities.

What are Python Programmers?

Python Programmers are software developers who specialize in writing code using the Python programming language. They design, develop, and maintain applications or systems, often working on tasks such as web development, data analysis, machine learning, automation, and scripting. Python Programmers need strong problem-solving skills and a good understanding of programming concepts. They often collaborate with other developers, data scientists, and stakeholders to build efficient and scalable solutions.

Are Python still in demand in 2026?

Python programmers are expected to remain in high demand in 2026 due to Python's widespread use in data science, web development, automation, and artificial intelligence. Skills in frameworks like Django or Flask and proficiency with libraries such as Pandas or TensorFlow can enhance job prospects in this field.
What cities near Centereach, NY are hiring for Python Programmer jobs? Cities near Centereach, NY with the most Python Programmer job openings:
Infographic showing various Python Programmer job openings in Centereach, NY as of June 2026, with employment types broken down into 62% Full Time, 34% Part Time, 1% Temporary, and 3% Contract. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $148,204 per year, or $71.3 per hour.
AI/ML Development Analyst

AI/ML Development Analyst

Commonfund

Norwalk, CT • On-site

$100K - $150K/yr

Full-time

Posted 11 days ago


Job description

Job Title

AI/ML Development Analyst

Job Summary

Commonfund is seeking a highly motivated AI/ML Development Analyst to design, develop, and deploy advanced artificial intelligence and machine learning solutions. The ideal candidate will have strong experience in AI/ML development, Agentic AI systems, Python programming, SQL, and web application development. Recent college grads with this experience through their degree program are welcome to apply.

This role involves building intelligent systems, developing data-driven models, and integrating AI capabilities into scalable applications for business processes at Commonfund. Candidates should have a strong analytical mindset and an interest in applying AI/ML solutions within the financial domain.

Key Responsibilities

  • Design, develop, and deploy machine learning and AI-driven solutions for business and financial applications.
  • Build and implement Agentic AI systems, including autonomous workflows and multi-agent architectures.
  • Develop and maintain data pipelines, model training workflows, and inference services.
  • Analyze large datasets to extract insights and build predictive or decision-support models.
  • Design and implement APIs and web-based interfaces for AI/ML solutions.
  • Write efficient and scalable code using Python and related frameworks.
  • Use SQL to query, transform, and analyze structured data.
  • Collaborate with cross-functional teams including product, engineering, and data teams to integrate AI capabilities into applications.
  • Evaluate new AI/ML techniques, frameworks, and research for potential adoption.
  • Document models, algorithms, and system architectures.
  • Ensure solutions follow best practices for security, scalability, and reliability.

Required Qualifications

  • Bachelor’s or Master’s degree in Mathematics, Data Science, Computer Science with Artificial Intelligence, or a related field.
  • Strong experience with Python programming.
  • Minimum one year hands-on experience developing machine learning or AI-based solutions.
  • Experience building or working with Agentic AI systems or autonomous AI workflows.
  • Strong knowledge of SQL and database systems.
  • Experience with web development frameworks or API development.
  • Experience with ML frameworks as TensorFlow, PyTorch, or Scikit-learn
  • Strong analytical, problem-solving, and debugging skills.
  • Ability to work independently and collaboratively in a fast-paced environment.

Preferred Qualifications

  • Experience working with financial data and developing financial applications.
  • Experience with LLM integration, prompt engineering, and AI orchestration frameworks.
  • Knowledge of data engineering pipelines and cloud platforms (AWS, Azure).
  • Experience building production-grade AI applications.

Technical Skills

Programming & Development

  • Python
  • SQL
  • REST APIs
  • Web development (e.g., Svelte, FastAPI, or similar)
  • Experience with C# programming and other Microsoft tools preferred.

AI/ML

  • Machine learning model development
  • LLM applications
  • Agentic AI architecture
  • Data analysis and feature engineering

Tools & Platforms (preferred)

  • Git / version control
  • Cloud platforms (AWS, Azure, GCP)
  • Containerization (Docker)
  • Data visualization tools

Key Competencies

  • Analytical thinking and quantitative reasoning
  • Strong problem-solving ability
  • Curiosity and continuous learning in AI technologies
  • Ability to translate business problems into technical AI solutions
  • Interest in applying AI within the financial and investment domain