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Entry Level Python Jobs in Huntington, NY (NOW HIRING)

Fanatics

Data Engineer II - (Remote)

Manhattan, NY · On-site

$126K - $151K/yr

... Python ingestion pipelines, Airflow orchestration, and Snowflake/Databricks - helping move data reliably and securely from source to decision-ready output. This is an entry-level role. You'll execute ...

Pwc

Azure Software Engineer - Senior Associate

New York, NY · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Java, Python, and JavaScript for application development - Managing continuous integration and ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

Data Validation Risk - Senior Associate

New York, NY · On-site

$77K - $202K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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Entry Level Python information

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$13

$62

$91

How much do entry level python jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for entry level python in Huntington, NY is $62.03, according to ZipRecruiter salary data. Most workers in this role earn between $51.11 and $70.48 per hour, depending on experience, location, and employer.

What is an entry level Python job?

Entry-Level Python positions can be found in multiple industries because Python is a general-purpose language. The company you work for may shape your development, but your general responsibilities include programming software, writing code, and building web applications. Your duties have you working hands-on with Python to analyze, identify, and develop sourced data. You program efficient approaches to process data and test and troubleshoot systems. In an entry level Python position, you work under higher level programmers and assist with improvements while gaining valuable experience to enhance your skills.

What does an entry level Python developer do?

An Entry Level Python developer is responsible for writing, testing, and debugging code using the Python programming language. They typically assist in building and maintaining software applications, automating simple tasks, and supporting senior developers in various projects. Entry-level roles are ideal for those new to the field and often focus on learning best coding practices and gaining real-world experience through hands-on projects.

What are the key skills and qualifications needed to thrive as an entry level Python developer, and why are they important?

To thrive as an Entry Level Python Developer, you need a solid understanding of Python programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with version control systems like Git, basic knowledge of databases, and exposure to development environments such as PyCharm or VS Code are often expected. Strong communication, eagerness to learn, and teamwork skills help you adapt quickly and collaborate effectively with peers. These skills ensure you can contribute to projects, learn from feedback, and grow within dynamic software development teams.

What are some common challenges faced by entry level Python developers in their first role?

Entry level Python developers often encounter challenges such as understanding legacy codebases, adapting to team coding standards, and effectively using version control systems like Git. Additionally, they may need to quickly learn new frameworks or tools relevant to the project. Collaborating with more experienced developers and asking questions is key to overcoming these hurdles and growing technical skills.

What is the difference between Entry Level Python vs Data Analyst?

AspectEntry Level PythonData Analyst
Required SkillsBasic Python programming, problem-solvingData visualization, SQL, Excel, some Python
CertificationsPython for Beginners, Entry-Level ProgrammingGoogle Data Analytics, Microsoft Excel Certification
Work EnvironmentTech companies, startups, software teamsBusiness, finance, marketing departments
Industry UsageSoftware development, automation, scriptingData analysis, reporting, decision-making

Entry Level Python roles focus on basic programming skills and scripting, often within tech environments. Data Analysts combine Python with data visualization and SQL skills to interpret data for business insights. While both roles require some programming knowledge, Data Analysts typically have broader skills in data handling and reporting, making them more versatile in data-driven industries.

Is Entry Level Python in demand in 2026?

Entry level Python roles are expected to remain in demand in 2026 due to Python's widespread use in data analysis, automation, and web development. Employers seek candidates with basic programming skills, knowledge of libraries like Pandas or Flask, and the ability to learn quickly, making it a valuable entry point into tech careers.

Which entry level Python job is in demand?

Entry-level Python developer roles are in high demand across industries such as technology, finance, and data analysis. These positions often require knowledge of Python programming, basic understanding of frameworks like Django or Flask, and familiarity with version control tools like Git. Certifications and hands-on projects can improve job prospects in this field.
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Entry Level Python jobs near you
Infographic showing various Entry Level Python job openings in Huntington, NY as of August 2026, with employment types broken down into 60% Full Time, and 40% Part Time. Highlights an 100% In-person job distribution, with an average salary of $129,020 per year, or $62 per hour.

Software Development Engineer

Clearwater Analytics

Manhattan, NY • On-site

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Clearwater Analytics is focused on providing financial risk analytics and reporting solutions. The Software Development Engineer role involves designing, implementing, and maintaining software components that support these analytics, collaborating with various teams, and contributing to the overall software development process.
Responsibilities:
• Develop, enhance, and maintain software applications and services used in risk workflows and data processing.
• Collaborate with product managers, quants, and engineering peers to clarify requirements and translate them into functioning code.
• Participate in design discussions and propose improvements that support scalability, performance, and maintainability.
• Build and maintain integrations and pipelines for trade, position, and market data.
• Write unit and integration tests and contribute to overall code quality and reliability.
• Perform troubleshooting and root-cause analysis to resolve defects and improve system stability.
• Assist in story creation, effort estimation, and delivery planning within an Agile environment.
• Document implementation details, design decisions, and APIs to support knowledge sharing and maintainability.
• Support CI/CD processes, build pipelines, and release activities.
Qualifications:
Required:
• Strong understanding of data structures, algorithms, and object-oriented programming.
• Proficiency in Python or another modern object-oriented language (Java, C#, C++, etc.).
• Ability to learn quickly and apply new concepts in data-driven or computational problem spaces.
• Exposure to or basic experience with APIs, microservices, or backend service development.
• Familiarity with version control tools such as Git and comfort participating in code reviews.
• Solid analytical and problem-solving skills with attention to detail.
• Good written and verbal communication skills; ability to work effectively with cross-functional partners.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field—or equivalent practical experience.
• 2+ years of professional software development experience.
Preferred:
• Interest in financial markets or risk management concepts is a plus but not required—domain training is provided.
• Experience with automated testing, CI/CD workflows, or cloud environments is a plus, not a must.
• Financial services experience is a bonus, not a requirement.
• Experience working on data-intensive, distributed, or mission-critical systems is a plus but not expected at entry level.
Company:
Clearwater Analytics is a SaaS company, providing automated investment accounting, performance, and analytics for institutional investors. Founded in 2004, the company is headquartered in Boise, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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