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Python Pandas Jobs in North Carolina (NOW HIRING)

Required : • Expertise in Python (including NumPy, pandas, and other packages) • Experience with either PyTorch or TensorFlow • Deep understanding of machine learning fundamentals (gradient ...

Qualifications Applicants should have expertise in Python (including NumPy, pandas, and other packages) and either PyTorch or TensorFlow. Deep understanding of machine learning fundamentals (gradient ...

Proficiency in Python is a plus, including experience with libraries such as Pandas, NumPy, or similar for data manipulation. * In-depth knowledge of Tableau Desktop and Tableau Server, including ...

... Python preferred Hands on experience in Large Language Models (LLMs) Experience with data visualization tools Worked on the Data analysis libraries like pandas Experience in web API calls Strong ...

Exposure / self-education with Python (e.g. Pandas, Data Frames) and use in data processing solutions. * Exposure to CI/CD processes and tools (e.g. Ansible, Jenkins). * Exposure to Airflow extremely ...

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Python Pandas information

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$12

$53

$78

How much do python pandas jobs pay per hour?

As of Aug 18, 2026, the average hourly pay for python pandas in North Carolina is $53.27, according to ZipRecruiter salary data. Most workers in this role earn between $43.89 and $60.53 per hour, depending on experience, location, and employer.

What is a Python Pandas job?

A Python Pandas job involves working with the Pandas library to manipulate, analyze, and visualize data efficiently. Professionals in these roles typically clean and preprocess datasets, perform exploratory data analysis (EDA), and generate insights for decision-making. They are commonly found in data science, analytics, and engineering fields, often working with big data, automation, or business intelligence tools. Strong knowledge of Python, SQL, and data visualization libraries like Matplotlib or Seaborn may also be required.

What are the main responsibilities for professionals working with Python Pandas in a data-driven role?

Professionals specializing in Python Pandas are typically responsible for cleaning, transforming, and analyzing large datasets to support business decisions. They collaborate closely with data scientists, analysts, and stakeholders to create data models, generate reports, and provide insights that guide strategy. Daily tasks may include scripting data pipelines, troubleshooting data issues, and presenting findings in an accessible format. This role often provides opportunities for growth into senior analyst, data engineering, or data science positions, especially as you gain experience in advanced analytics or machine learning applications.

What are the key skills and qualifications needed to thrive in the Python Pandas position, and why are they important?

To thrive in a Python Pandas role, you need strong expertise in Python programming, data manipulation, and analysis, often supported by a degree in computer science, mathematics, or a related field. Familiarity with tools like Jupyter Notebook, SQL databases, and data visualization libraries, as well as certifications in data analytics or Python, are common. Excellent problem-solving skills, attention to detail, and the ability to communicate findings clearly make candidates stand out. These skills ensure you can efficiently handle complex datasets, derive actionable insights, and effectively collaborate with data teams.

What are the most commonly searched types of Python Pandas jobs in North Carolina?

The most popular types of Python Pandas jobs in North Carolina are:

Infographic showing various Python Pandas job openings in North Carolina as of August 2026, with employment types broken down into 1% Internship, 82% Full Time, 5% Part Time, 7% Temporary, and 5% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

GenAI / Machine Learning / Python Engineer - USC / Green Card / H4 EAD

Hudson Manpower

Wilmington, NC • On-site, Remote

$30 - $45/hr

Full-time

Posted 5 days ago


Job description

About the Opportunity
We are looking for a skilled GenAI / Machine Learning / Python Engineer with 2-6 years of professional experience to join a growing technology team. The ideal candidate will have strong Python and Machine Learning fundamentals, along with hands-on experience building AI/ML solutions and an interest in Generative AI and emerging AI technologies.
This opportunity is well suited for professionals who have worked on real-world AI/ML projects and are looking to contribute to production-focused solutions involving Machine Learning, Generative AI, LLMs, and data-driven applications.
Employment Type: Full-Time W2
Experience: 2-6 Years
Work Authorization: USC / Green Card / H4 EAD
Location: Open to Relocation Anywhere in the United States
Employment: W2 Only - No C2C / 1099
Key Responsibilities
  • Develop, test, and maintain Machine Learning and AI solutions using Python.
  • Build and integrate Generative AI and LLM-based applications.
  • Work with structured and unstructured data to identify patterns and generate insights.
  • Develop and optimize ML models for real-world business applications.
  • Implement data preprocessing, feature engineering, model training, evaluation, and optimization.
  • Work with LLM APIs, prompt engineering, embeddings, and AI/ML frameworks.
  • Develop or support Retrieval-Augmented Generation (RAG) solutions where applicable.
  • Collaborate with engineering, data, and business teams to understand requirements and deliver AI-driven solutions.
  • Deploy and monitor AI/ML applications in development or production environments.
  • Document technical solutions, methodologies, and model performance.

GenAI Skills - Preferred
Candidates with hands-on experience in the following areas are highly preferred:
  • Generative AI and Large Language Models (LLMs)
  • Prompt Engineering
  • Retrieval-Augmented Generation (RAG)
  • Vector databases such as Pinecone, FAISS, Chroma, Weaviate, or similar
  • LangChain, LlamaIndex, or comparable GenAI frameworks
  • LLM APIs such as OpenAI, Azure OpenAI, Gemini, Claude, Llama, or similar
  • Embeddings and semantic search
  • NLP and Transformer architectures
  • Fine-tuning or model customization
  • AI agents / Agentic AI

Cloud & Deployment - Nice to Have
  • Experience with AWS, Azure, or GCP
  • Docker and containerization
  • REST APIs and microservices
  • CI/CD
  • Kubernetes
  • ML deployment and monitoring / MLOps

Required Qualifications
  • 2-6 years of professional experience in Machine Learning, Data Science, Artificial Intelligence, GenAI, or a closely related field.
  • Strong programming experience with Python.
  • Solid understanding of Machine Learning concepts and algorithms.
  • Hands-on experience developing and evaluating Machine Learning models.
  • Experience working with data preprocessing, feature engineering, and exploratory data analysis.
  • Strong understanding of SQL and data manipulation.
  • Experience with commonly used Python libraries such as Pandas, NumPy, Scikit-learn, or similar.
  • Familiarity with AI/ML frameworks such as PyTorch, TensorFlow, or Hugging Face is preferred.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in a collaborative team environment.

Eligibility Requirements
  • US Citizens (USC)
  • Green Card holders
  • H4 EAD holders
  • Must have 2-6 years of relevant professional experience
  • Must be willing to relocate anywhere within the United States
  • Must be willing to work on a W2 basis

Important
W2 ONLY. No C2C or 1099 arrangements.
Candidates who meet the above requirements and are open to relocation are encouraged to apply.