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Python Certification Jobs in New York (NOW HIRING)

Python Tech Lead

Warren, NJ · On-site

$144K - $177K/yr

Role: Python Tech Lead Location: Warren NJ (Onsite) Duration: Long term Client: Value Momentum ... AWS certification * Ability to quickly learn and analyze complex Systems and work independently.

Senior AWS Python Developer

New York, NY · On-site

$132K - $178K/yr

Job Title: Sr. AWS Python Developer Job Location: New York, NY Job Type: Contract * Develop and ... Familiarity with C a plus53 years production experience with AWS Certifications a big plus ...

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Python Certification information

See New York salary details

$14

$64

$94

How much do python certification jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for python certification in New York is $64.13, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $72.84 per hour, depending on experience, location, and employer.

What types of projects or tasks can I expect to work on after earning a Python certification?

After earning a Python certification, you can expect to work on a variety of projects, ranging from web application development to data analysis and automation tasks. Many teams utilize Python for scripting workflows, managing databases, building APIs, or developing machine learning models. The exact nature of your work will often depend on the industry and organization, but collaboration with other developers, data analysts, or IT professionals is common. Certified Python professionals are frequently trusted with higher responsibility, including contributing to code reviews and designing scalable solutions.

What can I do with a Python certification?

A Python certification can help you qualify for roles such as Python developer, data analyst, or automation engineer. It demonstrates proficiency in programming, scripting, and problem-solving skills, often leading to opportunities in software development, data science, and machine learning environments.

What is the difference between Python Certification vs Data Analyst?

AspectPython CertificationData Analyst
Required CredentialsCertification in Python programmingDegree in Data Science, Statistics, or related field
Work EnvironmentSoftware development, automation, scriptingData analysis, reporting, business insights
Industry UsageTech, finance, automationBusiness, marketing, finance
Search & Comparison IntentLearning Python skills, certification benefitsUnderstanding roles, skills, and certifications for data analysis

Python Certification focuses on validating Python programming skills, often used in software development and automation. Data Analysts utilize Python for data manipulation and analysis but typically require a broader skill set including statistical knowledge and domain expertise. While Python Certification enhances technical credentials, Data Analyst roles emphasize a combination of technical and analytical skills. Both are valuable in data-driven industries, but they serve different career paths and skill requirements.

Are Python still in demand in 2026?

Python remains a highly in-demand skill for many roles, including data analysis, web development, and automation, due to its versatility and widespread use in industry. The language's popularity is expected to continue growing as organizations adopt Python for emerging technologies like machine learning and artificial intelligence, making Python certifications valuable for job seekers in tech fields.

Which pays more, C++ or Python?

For Python certification holders, salaries are generally comparable to those with C++ skills, but Python developers often earn slightly higher due to its widespread use in data science, web development, and automation. Salary differences depend on experience, industry, and location, with Python roles increasingly in demand for their versatility and ease of learning. Both skills are valuable, but Python's popularity can lead to higher compensation in certain fields.

What is a Python certification and why is it important?

A Python certification is an official credential that demonstrates a person's proficiency and knowledge in the Python programming language. Earning a certification can help validate your skills to employers, making you stand out in the job market. It often covers topics such as syntax, data structures, algorithms, and usage of Python libraries. Obtaining a certification can also provide structured learning and boost your confidence in applying Python in real-world projects. While not always required, it can be particularly beneficial for those new to programming or seeking to advance their careers.

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

To thrive as a Python Developer, you need strong proficiency in Python programming, a solid understanding of algorithms, data structures, and often a relevant degree in computer science or a related field. Familiarity with development frameworks (like Django or Flask), version control systems such as Git, and relevant Python certifications are commonly expected. Problem-solving ability, adaptability, and effective communication are valuable soft skills that set top candidates apart. These competencies enable developers to write efficient, maintainable code and collaborate well within development teams on complex projects.

Are Python certifications worth getting?

Python certifications can enhance a Python developer's resume by validating skills and knowledge in programming, data analysis, and automation. While they can improve job prospects and demonstrate commitment, practical experience and project work often weigh more heavily with employers.
What job categories do people searching Python Certification jobs in New York look for? The top searched job categories for Python Certification jobs in New York are:
What cities in New York are hiring for Python Certification jobs? Cities in New York with the most Python Certification job openings:
Infographic showing various Python Certification job openings in New York as of June 2026, with employment types broken down into 12% As Needed, 77% Full Time, 2% Part Time, 4% Temporary, 3% Contract, and 2% Nights. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $133,398 per year, or $64.1 per hour.

Statistics & Python Expert - Freelance AI Trainer

Mindrift

New York, NY • On-site

$73/hr

Part-time

This job post has expired today. Applications are no longer accepted.


Key responsibilities

  • Design original computational statistics problems that simulate real mathematical research workflows.

  • Create problems requiring Python programming to solve using libraries such as Numpy, SciPy, and Sympy.

  • Verify solutions using Python with standard mathematical libraries and document problem statements with correct answers.


Job description

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may: 

  • Design original computational statistics problems that simulate real mathematical research workflows;
  • Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy);
  • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
  • Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis;
  • Base problems on real research challenges or practical applications from mathematical practice;
  • Verify solutions using Python with standard mathematical libraries;
  • Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: 

  • Degree in Statistics or related fields;
  • Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;
  • 2+ years of professional experience: applied, research, or teaching experience is applicable;
  • Strong written English (C1+);
  • Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

How it works

Apply Pass qualification(s) Join a project Complete tasks Get paid

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $73 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.