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Python Programming Jobs in Pittsburgh, PA (NOW HIRING)

Palnar

Python Application Engineer

Pittsburgh, PA · On-site

Pandas and NumPy - Statistics and Mathematics background is great if they have the addition of Python development/engineering - Knowing Oracle and BigData is helpful as well - Overlapping work with ...

CEI

Python Automation Engineer

Pittsburgh, PA

$55/hr

Python Automation Engineer Location: Pittsburgh (5 days onsite in office) Contract: W2 only, 6-12 month contract with potential for extension or conversion to full time with either the client or CEI ...

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How much do python programming jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python programming in Pittsburgh, PA is $56.91, according to ZipRecruiter salary data. Most workers in this role earn between $46.92 and $64.66 per hour, depending on experience, location, and employer.

What is Python programming?

Python programming refers to writing code in the Python language, a versatile and high-level programming language known for its readability and simplicity. Python is widely used for web development, data analysis, artificial intelligence, scientific computing, and automation. Its large standard library and active community make it a popular choice for both beginners and experienced developers. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. Because of its simple syntax and vast ecosystem, Python is a great starting point for anyone looking to learn programming or develop complex applications.

What are the key skills and qualifications needed to thrive as a Python programmer?

To thrive as a Python Programmer, you need strong proficiency in Python programming, knowledge of data structures and algorithms, and often a degree in computer science or a related field. Familiarity with popular libraries like Pandas, NumPy, and frameworks such as Django or Flask, along with experience using version control systems like Git, is typically required. Problem-solving ability, attention to detail, and effective communication are crucial soft skills that set top programmers apart. These competencies ensure efficient code development, successful collaboration, and the delivery of robust software solutions.

What are some common challenges python programmers face when working on collaborative projects?

Python programmers often encounter challenges like maintaining code consistency, managing dependencies, and merging code changes when working with a team. Adhering to coding standards (such as PEP 8) and using tools like version control systems (e.g., Git) are crucial to streamline collaboration. Regular code reviews and clear documentation also help prevent misunderstandings and ensure smooth integration of each team member's contributions.

What is the difference between Python Programming vs Data Analyst?

AspectPython ProgrammingData Analyst
Required SkillsProficiency in Python, scripting, algorithmsData interpretation, Excel, SQL, basic Python
Work EnvironmentSoftware development, coding projectsData analysis, reporting, business insights
Industry UsageTech, finance, automationMarketing, finance, healthcare

Python Programming involves writing code to develop software, automate tasks, and build applications, requiring strong coding skills. Data Analysts focus on interpreting data, creating reports, and providing insights, often using Python as a tool. While Python Programming emphasizes coding expertise, Data Analysts combine analytical skills with some programming knowledge. Both roles often overlap, especially when Data Analysts use Python for data manipulation and analysis.

Is Python programming a good career?

Python programming is a popular and in-demand skill in the tech industry, with applications in web development, data analysis, machine learning, and automation. Careers in Python often offer competitive salaries, opportunities for remote work, and require knowledge of related tools like libraries and frameworks. It is considered a strong choice for those interested in software development and data science roles.

Is there a demand for Python programmers?

Python programming is in high demand across various industries such as technology, finance, and data science. Employers seek Python developers for roles involving web development, automation, machine learning, and data analysis, often requiring knowledge of frameworks like Django or libraries such as Pandas. The job market for Python programmers remains strong due to its versatility and widespread use in emerging technologies.

What jobs can I do with just Python programming?

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

What cities near Pittsburgh, PA are hiring for Python Programming jobs?

Cities near Pittsburgh, PA with the most Python Programming job openings:

Python Programming jobs near you
Infographic showing various Python Programming job openings in Pittsburgh, PA as of August 2026, with employment types broken down into 1% Internship, 80% Full Time, 14% Part Time, 4% Contract, and 1% Nights. Highlights an 89% Physical, 4% Hybrid, and 7% Remote job distribution, with an average salary of $113,937 per year, or $54.8 per hour.

Python Application Engineer

Pittsburgh, PA • On-site

Palnar
IT Services • 201 - 500 employees
Learn more about Palnarexternal

Contractor

Re-posted 11 days ago

Job description

Duration: Contract-to-hire at 12-month mark or before, must be US Citizen or GC Holder/GC EAD. Also can accept OPT EAD candidate with current VISA end date past 4/2024
Job Description:
- One project is aFederal Program to perform stress testing (Due to silicon valley bank companies closing)
- Another project is a federal program that looks at loss over life of a loan
- Team generate all documentation on how stress models are developed
- Deep SQL and Python in data science and machine learning space good in finance
- Pittsburgh and Lake Mary are available office locations
- Team is built in 2020 and growing, about 35 ppl now and hiring more
- Need to know Python well; Pandas and NumPy
- Statistics and Mathematics background is great if they have the addition of Python development/engineering
- Knowing Oracle and BigData is helpful as well
- Overlapping work with development and data science
- 1 day onsite currently though may become more
- Java, Angular, Hadoop, etc. are all plusses
- Years of experience are not really required, more focused on expertise and sharpness of candidate.

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