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Python Jobs in Clemmons, NC (NOW HIRING)

Python * Additional programming in Java, R Education: Degree or equivalent exp. Responsibilities: * Partner with product owners, product managers, data engineers, and business stakeholders to ...

Data Engineer

High Point, NC

$102K - $122K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Greensboro, NC

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

High Point, NC ยท On-site

$102K - $122K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Data Engineer

Greensboro, NC ยท On-site

$110K - $133K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...

Develop scripting and automation workflows (Python, Java macros) to standardize simulation pipelines, run DOEs and design-optimizationstudies, andimprove team productivity. * Make effective use of ...

Leverage data analysis tools (JMP, Python, Excel) to drive decision-making. Cross-functional Collaboration * Work closely with process engineering, quality, manufacturing, and maintenance teams.

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

Must-Have Skills 3+ years of ML engineering experience -- model training, fine-tuning, or post-training pipelines in research or production Strong Python and deep learning proficiency (PyTorch ...

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How much do python jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for python in Clemmons, NC is $46.90, according to ZipRecruiter salary data. Most workers in this role earn between $38.65 and $53.27 per hour, depending on experience, location, and employer.

What are some common challenges Python developers face when working on large-scale projects?

Python developers often encounter challenges such as managing dependencies, ensuring code scalability, and maintaining performance on large-scale projects. Collaboration with cross-functional teams can add complexity, especially when integrating with systems written in other languages. Adopting best practices like modular code structure, thorough documentation, and automated testing can help mitigate these challenges and streamline teamwork.

What is the difference between Python developer vs Java developer?

AspectPython DeveloperJava Developer
Required CredentialsBachelor's in CS or related field, Python certifications (optional)Bachelor's in CS or related field, Java certifications (optional)
Work EnvironmentWeb development, data science, automationEnterprise applications, Android development, backend systems
Industry UsageTech startups, data analysis firms, automation companiesFinancial services, large enterprise software, mobile app companies

Python developers focus on scripting, data analysis, and web development, often working in startups or data-driven fields. Java developers typically work on large-scale enterprise applications and Android apps. While both roles require programming skills and similar educational backgrounds, their industry applications and project types differ significantly.

What is a Python developer?

A Python developer is a software programmer who specializes in writing, testing, and maintaining code using the Python programming language. They can work on a variety of projects, including web development, data analysis, machine learning, automation, and scripting. Python developers often collaborate with other team members to design solutions and ensure the functionality and performance of applications. Their responsibilities may also include debugging programs, integrating third-party services, and writing documentation.

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

To thrive as a Python Developer, you need strong programming skills in Python, knowledge of software development principles, and typically a degree in computer science or related fields. Familiarity with frameworks like Django or Flask, version control systems such as Git, and experience with databases are highly valued, along with certifications like PCEP or PCAP. Effective problem-solving, communication, and teamwork are essential soft skills to excel in collaborative and dynamic environments. These skills collectively ensure the delivery of robust, maintainable code and efficient project outcomes in technology-driven organizations.

What is Python?

Python is a programming language used to write or develop a variety of programs and applications. The software developer community uses Python for programming because it is a simple language that is easy to test and debug. Large internet companies such as Facebook, Google, Reddit, and Amazon use Python, and so do government agencies such as NASA. Programmer professionals have used Python to help build popular software such as Autodesk Maya and other visual design applications. Financial professionals and stock traders use Python when scripting algorithms for economic predictions or computerized trading.

What are the most commonly searched types of Python jobs in Clemmons, NC? The most popular types of Python jobs in Clemmons, NC are:
What are popular job titles related to Python jobs in Clemmons, NC? For Python jobs in Clemmons, NC, the most frequently searched job titles are:
What cities near Clemmons, NC are hiring for Python jobs? Cities near Clemmons, NC with the most Python job openings:
Infographic showing various Python job openings in Clemmons, NC as of August 2026, with employment types broken down into 2% Internship, 82% Full Time, 10% Part Time, and 6% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $97,544 per year, or $46.9 per hour.

Business Data Analyst

1 point system

Greensboro, NC โ€ข On-site

Contractor

Re-posted 13 days ago


Job description

Onsite Interview

Description:

  • Project Details/Why is this req open?
  • In charge of all of data for North America. Ensuring no bugs, and business gets their data. Slowly entering AI space, and in middle of data migration from on prem and into the cloud. Will be part of that journey. Ideally someone that is eager to learn new technologies and grow with them.
    • Ideally a Data Analyst who is comfortable working with the business. Willing to settle for a strong BA with good SQL skills. 
    • With SQL - Knowing what’s in tables, SQL Server, Databricks, what is talking to what, etc.
    • Business uses Power BI but not critical, would be a plus to show data manipulation experience
    • Embed with business as they work with regularly
    • Task Example: New group that needs to be added into database tables. These tables talk here and there, which tables are missing in group, filter to understand which groups need to be added, then adjust accordingly
    • 10 week cycle with sprints inside depending on projects being supported (hybrid between Agile and Waterfall)
    • DevOps to document user stories (JIRA, Confluence, etc.)
  • Top Must-Haves:
    •  5+ years of Data Analysis exp. scripting with SQL and understanding relational databases
    •  BA skills, requirements gathering, working with business to translate function requests
    •  Strong soft skills-Ability to talk to the business
    •  Understanding of Agile and Waterfall methodologies
  • Pluses:
    • Databricks
    • Power BI
    • Python
    • Additional programming in Java, R

Education: Degree or equivalent exp.

Responsibilities:

  • Partner with product owners, product managers, data engineers, and business stakeholders to understand data requirements and business objectives.
  • Collect, clean, validate, and transform data from multiple sources to support analytics and reporting needs.
  • Analyze large and complex datasets to identify trends, patterns, and actionable insights.
  • Design, develop, and support data solutions, including data flows, ETL processes, and ingestion pipelines.
  • Develop and maintain dashboards, reports, and visualizations using tools such as Power BI, Tableau, and Excel.
  • Translate business questions into technical data solutions that support decision-making.
  • Support ad hoc data requests and ongoing reporting needs.
  • Assist with data modeling, data mapping, and data management best practices.
  • Troubleshoot data quality and performance issues in development and production environments.
  • Document data solutions, technical designs, and best practices.
  • Present insights and technical concepts clearly to both technical and non-technical stakeholders.
  • Stay current with emerging data technologies, tools, and industry trends.

Experience:

  • 5+ years of experience in a Data Analyst, Business Analyst (data-focused), Data Engineering, or similar role.
  • Strong proficiency in SQL and Excel.
  • Hands-on experience with data visualization and reporting tools such as Power BI or Tableau.
  • Solid understanding of data modeling, data structures, and data integration concepts.
  • Familiarity with cloud data platforms and concepts (Azure preferred).
  • Experience working with analytics and reporting from a business perspective.
  • Exposure to data integration tools such as Azure Data Factory or similar (preferred).
  • Experience with Python for data analysis or automation is a plus.
  • Knowledge of data governance, data privacy, and best practices is a plus.
  • Strong analytical, problem-solving, and troubleshooting skills.
  • Excellent communication skills with the ability to translate complex data concepts into clear, actionable insights.
  • Bachelor’s degree in Data Science, Computer Science, Engineering, Statistics, or a related field, or equivalent practical experience.