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Python Programming Jobs in Pennsylvania (NOW HIRING)

Marencor

Python/AI/ML Engineer

Malvern, PA · On-site

Expertise with SQL and the Python programming language *Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.

Sarian, Inc.

Python Developer

Pittsburgh, PA · On-site

$48.75 - $67.25/hr

Role: Python Developer Location: Pittsburgh Fulltime position Onsite position JD: * 8-12 years of experience as Python Developer * Code Development. * Back End Development. * Integration.

Kanak Elite Services Inc

Python AWS Developer

Malvern, PA · On-site

$49.25 - $68/hr

I am reaching out to share an excellent career opportunity for the role of AWS Python Developer with our esteemed client. If you are interested then please share your updated resume at Himanshu01 ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$90K - $100K/yr

Python programming (advanced). * API design and development. * Problem-solving and debugging. * System design and scalability Roles & Responsibilities: * Design and develop RESTful APIs and ...

Envision Technology Solutions

Python Developer

Malvern, PA · On-site

$49.25 - $68/hr

Python experience with AWS services such as EC2, Lambda, S3, RDS, CloudWatch, and IAM Experience with CI/CD pipelines and DevOps tools (e.g., GitLab CI, CodePipeline) Familiarity with ...

Dellfor Technologies

python developer

Pittsburgh, PA

$80K/yr

ROLE :Python Developer DURATION: Contract 5+years of experience Python will be the primary language, using which developer would perform SQL/CRUD operations in DB, file extraction/transformation ...

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How much do python programming jobs pay per hour?

As of Jul 27, 2026, the average hourly pay for python programming in Pennsylvania is $58.76, according to ZipRecruiter salary data. Most workers in this role earn between $48.41 and $66.73 per hour, depending on experience, location, and employer.

What jobs can I do with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, web developer, automation engineer, and cybersecurity analyst. These jobs often require knowledge of frameworks, libraries, and tools such as Django, Flask, Pandas, and TensorFlow. Python skills are valuable across industries like technology, finance, healthcare, and research.

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.

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, and why are they important?

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.

Is Python coding 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 continuous learning of related tools and frameworks. It is considered a strong choice for those interested in software development and data science roles.

What Python jobs are in-demand?

In-demand Python jobs include roles such as software developer, data analyst, data scientist, machine learning engineer, and backend developer. These positions often require knowledge of frameworks like Django or Flask, and familiarity with data analysis libraries such as Pandas and NumPy. Demand is driven by industries like technology, finance, healthcare, and e-commerce, with many roles requiring proficiency in cloud platforms and version control tools.

What is Python coding salary?

The salary for Python programmers varies based on experience, location, and industry, but typically ranges from $70,000 to $120,000 annually in many regions. Entry-level positions may start around $60,000, while experienced developers with specialized skills can earn over $130,000 or more.
What are the most commonly searched types of Python Programming jobs in Pennsylvania? The most popular types of Python Programming jobs in Pennsylvania are:
What cities in Pennsylvania are hiring for Python Programming jobs? Cities in Pennsylvania with the most Python Programming job openings:
Python Programming jobs near you
Infographic showing various Python Programming job openings in Pennsylvania as of July 2026, with employment types broken down into 80% Full Time, 15% Part Time, 1% Temporary, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $122,225 per year, or $58.8 per hour.

Python Developer (AI/ML)_ Malvern, PA

campus4tech

Malvern, PA • On-site

$49.25 - $68/hr

Full-time

Posted yesterday

Job description

Python Developer (AI/ML)
Location: Malvern, PA (3 days onsite) - Need to be onsite day one
Duration: 1 year
Visa: Candidate must be eligible to work on W2 or C2C
Looking for an expert engineer/developer with a year or two experience with generative AI (genAI is only a few years old from the perspective of the user).
Responsibilities
  • Develop, test, and deploy AI/ML solutions to address various business needs
  • Collaborate with data scientists, product managers, and other stakeholders to understand requirements and deliver solutions
  • Optimize and maintain existing AI/ML models to ensure they perform efficiently and accurately

Qualifications
  • Expertise with SQL and the Python programming language
  • Experience with a variety of Python's frameworks and libraries for AI/ML development (e.g. anthropic, TensorFlow, scikit-learn, etc.)
  • Experience building AI/ML solutions on AWS
  • Familiarity with data engineering practices such as time series data and fact-based data and tools such as Python's Polars package

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