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Python Data Jobs in North Carolina (NOW HIRING)

BC Forward

Data Engineer

Charlotte, NC · On-site

$70.23/hr

Data engineers develop programs using Python and Scala to clean and process raw data. They design software codes for various cases using Big Data technologies and Python. Data engineers collaborate ...

MM International

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Python Developer Charlotte, NC (onsite 3x a week) 1 year + contract Must Have: Python Pyspark ETL ... You will work closely with data scientists, software engineers, and DevOps team to ensure robust ...

Snowrelic Inc

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Design and implement algorithms, data structures, and solutions to optimize application performance ... Leverage Python libraries like NumPy, Pandas, Matplotlib, SciPy, Scikit-learn, and TensorFlow for ...

Varsity Tutors

Python Tutor

Matthews, NC · Remote

$18 - $40/hr

Deep knowledge of Python syntax, data types, control flow, functions, object-oriented programming, file handling, modules and packages, list comprehensions, error handling, and popular libraries ...

Dlapiper

Data Engineer

Raleigh, NC · On-site

$111K - $133K/yr

Proficiency in SQL and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse ...

MM International

Python Developer

Charlotte, NC · On-site

$49 - $67.75/hr

Role: Python Developer Location: Can sit hybrid 3 times a week in Jersey City or Charlotte ... CI/CD pipeline Experience with Bash scripting Experience with Data preparation and basics of Pandas ...

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All JobsPython Data JobsPython Data Jobs in North Carolina

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$12

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$78

How much do python data jobs pay per hour?

As of Jul 9, 2026, the average hourly pay for python data 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 the salary for Python data analytics?

The salary for Python data analysts typically ranges from $60,000 to $100,000 annually, depending on experience, location, and industry. Professionals with strong skills in data manipulation, visualization, and tools like Pandas and SQL tend to earn higher salaries.

What Python jobs are in demand?

Python data-related jobs in demand include data analyst, data scientist, machine learning engineer, and backend developer. These roles often require proficiency in libraries like Pandas, NumPy, and frameworks such as TensorFlow, with employers seeking strong programming skills and experience with data analysis or AI projects.

What are some common challenges faced by Python Data professionals when working with large datasets?

Python Data professionals often encounter challenges such as optimizing code to handle large volumes of data efficiently and managing memory usage to prevent slowdowns or crashes. Working with big datasets may require leveraging tools like pandas, NumPy, or Dask, and sometimes integrating with distributed computing systems such as Apache Spark. Additionally, ensuring data quality and managing data pipelines for consistent and accurate results can be demanding. Collaborating closely with data engineers, analysts, and other stakeholders is common to ensure smooth data flow and analysis.

What is a Python Data professional?

A Python Data professional is someone who uses the Python programming language to analyze, process, and interpret data. They work with large datasets, perform data cleaning and transformation, and apply statistical or machine learning techniques to extract insights. These professionals often work in roles such as data analyst, data scientist, or data engineer, and use Python libraries like Pandas, NumPy, and scikit-learn to accomplish their tasks.

Will AI replace Python devs?

Python developers are unlikely to be fully replaced by AI, as their role involves designing, coding, and maintaining complex software systems that require human judgment and creativity. AI tools can assist with tasks like code generation and debugging, but human oversight remains essential for quality and innovation. Staying updated with new frameworks and machine learning techniques can help Python developers remain valuable in the evolving tech landscape.

What is the difference between Python Data vs Data Analyst?

AspectPython DataData Analyst
Required SkillsPython programming, data manipulation, scriptingExcel, SQL, data visualization
CertificationsPython certifications, data science coursesData analysis certifications, Excel certifications
Work EnvironmentData science teams, programming-heavy rolesBusiness intelligence, reporting teams
Industry UsageTech, finance, healthcareRetail, marketing, finance

Python Data roles focus on programming, data manipulation, and building data pipelines using Python, while Data Analysts primarily analyze data using tools like Excel and SQL to generate reports and insights. Both roles often collaborate but differ in technical depth and tools used.

What type of jobs can I get with Python?

Python is used in a variety of roles including software developer, data analyst, data scientist, machine learning engineer, and automation engineer. These jobs often require knowledge of libraries like Pandas, NumPy, and frameworks such as TensorFlow or Django, and may involve working in environments like cloud platforms or data centers.

What are the key skills and qualifications needed to thrive as a Python Data professional, and why are they important?

To thrive as a Python Data professional, you need strong programming skills in Python, a solid understanding of data structures, algorithms, and experience with data analysis or data science, typically supported by a relevant degree. Familiarity with technical tools such as pandas, NumPy, SQL, Jupyter Notebooks, and often cloud platforms or machine learning frameworks is important, and certifications like Microsoft or Google Data certifications can be advantageous. Strong analytical thinking, attention to detail, and effective communication help you extract insights from data and collaborate with stakeholders. These skills and qualities are essential to efficiently process, analyze, and interpret data, driving informed business decisions.
What are popular job titles related to Python Data jobs in North Carolina? For Python Data jobs in North Carolina, the most frequently searched job titles are:
What job categories do people searching Python Data jobs in North Carolina look for? The top searched job categories for Python Data jobs in North Carolina are:
Python Data jobs near you
Infographic showing various Python Data job openings in North Carolina as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $110,812 per year, or $53.3 per hour.
Google Cloud Platform Python Data Engineer

Google Cloud Platform Python Data Engineer

Cynet Systems

Charlotte, NC • On-site

Other

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

We are looking for Google Cloud Platform Python Data Engineer for our client in Charlotte, NC

Job Title: Google Cloud Platform Python Data Engineer

Job Location: Charlotte, NC

Job Type: Contract

Job Overview:

Requirement/Must Have:

  • 1+ years of experience in Python programming.
  • Exposure to Google Cloud Platform services such as IAM, KMS, GCS, BigQuery, BigLake, Bigtable, Cloud Composer, GKE, Cloud SQL, Cloud Functions, Data Catalog, Dataplex, Dataproc, and Dataflow.
  • Familiarity with Git for version control.
  • Clear understanding of CICD concepts.
  • Strong problem solving and debugging skills.

Responsibilities:

  • Troubleshoot provisioning issues related to IAM permissions, API enablement, quotas, state management, dependencies, or resource conflicts.
  • Optimize logging and monitoring configurations to balance observability, cost efficiency, and operational performance.
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About Cynet Systems

Sourced by ZipRecruiter

Cynet Systems Inc is a staffing and recruiting corporation nestled in Ashburn, VA, USA. Established in 2010, the company operates within the Information Technology and Services sector, specializing in providing effective workforce solutions to different business needs, including IT consulting, direct hire, and contract staffing services. Through the years, Cynet Systems has built an impressive portfolio, going beyond borders and expanding its operations internationally in Canada and India. Rooted in its core values of teamwork, leadership, and commitment, Cynet Systems helps businesses unlock their full potential by providing versatile and competent professionals that perfectly align with their needs. Fueled by their unwavering mission to deliver top-tier talent to businesses worldwide, Cynet Systems garnered various recognitions including SIA's fastest-growing staffing firms and Best Place to Work in Virginia for 2019.

Industry

It services

Company size

501 - 1,000 Employees

Headquarters location

Sterling, VA, US

Year founded

2010

Social media

Twitter

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