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Python Programming Jobs in Pittsburgh, PA (NOW HIRING)

PNC Bank

Data Engineer Sr

Pittsburgh, PA · On-site

$111K - $133K/yr

Programming experience in Python or Scala. - Demonstrated analytical and problem-solving skills. - Familiarity with cloud platforms (e.g Azure , AWS ) and their data related services - Proactive and ...

Actalent

Software Perception Engineer

Pittsburgh, PA

$50 - $62/hr

... and Python programming languages, Eigen, Azure DevOps or Jira for project management and work item tracking, standard software development tools (CMake, Git, SonarQube, Docker, GoogleTest ...

Tata Consultancy Service Limited

Engineer

Pittsburgh, PA · On-site

$115K - $120K/yr

Skill: Java/Hadoop/Python Developer Must Have Technical/Functional Skills: * Part of a full stack agile team supporting Pega, Java, ETL, Data Engineers, VB (.NET), and Mainframe development.

Waabi

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

Waabi

Research Engineer

Pittsburgh, PA · On-site +1

$122K - $215K/yr

... Python programming with a focus on writing high-quality, well-structured, and tested code. - Comfortable working with large datasets for machine learning applications. Bonus/nice to have: - Master ...

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All JobsPython Programming JobsPython Programming Jobs in Pittsburgh, PA

Python Programming information

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$12

$56

$83

How much do python programming jobs pay per hour?

As of Jun 16, 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.

Are Python still in demand in 2026?

Python programming remains highly in demand in 2026 due to its widespread use in data science, web development, automation, and artificial intelligence. Employers value Python skills, and the language's versatility ensures continued relevance across various industries and job roles.

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.

Are Python programmers still in demand?

Python programmers are currently in high demand across various industries such as technology, finance, and data science due to Python's versatility and widespread use in automation, machine learning, and web development. The demand is expected to grow as organizations increasingly adopt Python for their software solutions and data analysis needs.

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.

Can I learn Python in 3 hours?

Python programming jobs typically require a solid understanding of core concepts, which cannot be fully learned in just three hours. While beginners can grasp basic syntax quickly, becoming proficient for a job usually takes weeks or months of consistent practice and learning. Short timeframes are insufficient for developing the skills needed for most Python-related roles.

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.

What jobs can I do with just Python?

With Python skills, you can pursue roles such as Python developer, data analyst, automation engineer, or backend programmer. These jobs often require knowledge of libraries like pandas, Django, or Flask, and may involve tasks like scripting, data processing, or web development.
What are the most commonly searched types of Python Programming jobs in Pittsburgh, PA? The most popular types of Python Programming jobs in Pittsburgh, PA are:
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 June 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $118,374 per year, or $56.9 per hour.

Agentic AI developer

Purple Drive Technologies

Pittsburgh, PA • On-site

Full-time

Posted 4 days ago

Job description

Overview:
Role: Agentic AI developer
Location: Pittsburgh, PA
Job Description
Skill: Agentic AI Developer
Must Have Technical/Functional Skills:
  • The Agentic AI Developer will design, build, and operationalize governed AI agent systems that autonomously plan, reason, and execute complex workflows across enterprise data and risk platforms.
  • This role focuses on developing multi agent, event driven AI solutions using Python, LangChain, LangGraph, and Azure AI Foundry, with strong emphasis on explainability, human in the loop control, and regulatory readiness.

Primary Skills:
  • Python, LangChain, LangGraph, Azure AI Foundry.

Roles & Responsibilities:
  • Agentic System Design: Architect, build, and optimize AI agents using multi-agent frameworks (e.g., LangGraph, AutoGen, CrewAI).
  • Reasoning & Planning: Implement advanced prompting strategies, such as chain-of-thought, reflection, and self-correction loops to enhance agent decision-making.
  • Tool Integration: Connect AI agents to APIs, databases, and third-party SaaS platforms to enable autonomous action-taking.
  • Memory & Context: Design short-term and long-term memory systems (RAG, vector databases) so agents can maintain state and context over long-running workflows.
  • Production Deployment: Transition prototypes from research to production-ready systems, ensuring low latency, high accuracy, and observability (e.g., using Amazon CloudWatch, LangSmith).
  • Safety & Governance: Implement AI guardrails, human-in-the-loop approval steps, and audit trails to ensure ethical and secure operation.

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