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Python Data Jobs in North Carolina (NOW HIRING)

Euclid Innovations

Python Data Engineer

Charlotte, NC · On-site

Euclid Innovations is seeking a skilled Python Data Engineer to join their dynamic team. The role involves designing and implementing data pipelines, processing large datasets, and ensuring data ...

Infosys

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

... Python. • Experience in Data Warehouse Design - Dimensional modeling, star/snowflake schemas, reporting database optimization, and performance tuning. • Experience in Amazon Redshift & S3 ...

Infosys Limited

AWS Python Data Engineer

Raleigh, NC · On-site

We specialize in leveraging advanced technologies such as AI, cloud, and data-led innovation to ... Experience in Python libraries and scripting * Experience with CI/CD (GitLab, Git), Docker ...

Infosys Limited

AWS Python Data Architect

Raleigh, NC · On-site

$62 - $79.75/hr

Experience in AWS Glue & ETL Engineering - Designing scalable ETL/ELT pipelines using AWS Glue, PySpark, and Python. * Experience in Data Warehouse Design - Dimensional modeling, star/snowflake ...

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All JobsPython Data JobsPython Data Jobs in North Carolina

Python Data information

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$12

$53

$78

How much do python data jobs pay per hour?

As of Sep 10, 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 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.

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 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 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.

Are Python coders in demand?

Python developers are in high demand across various industries due to the language's versatility in data analysis, web development, and automation. Employers seek skills in frameworks like Django and data tools such as Pandas, making Python a valuable programming language for job seekers. The demand is expected to grow as data-driven decision-making and automation increase in the workplace.

How much do Python data scientists make?

Python data scientists typically earn a median salary ranging from $90,000 to $130,000 annually, depending on experience, location, and industry. Advanced skills in machine learning, data analysis, and proficiency with tools like Pandas and TensorFlow can lead to higher compensation.

Is Python Data still in demand in 2026?

Python data roles remain in high demand in 2026 due to the language's widespread use in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and frameworks such as TensorFlow enhance job prospects, and proficiency in data management tools is often required.

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 September 2026, with employment types broken down into 33% Full Time, and 67% Contract. Highlights an 100% In-person job distribution, with an average salary of $110,812 per year, or $53.3 per hour.

Python Data Engineer

Charlotte, NC • On-site

Euclid Innovations
IT Services • 501 - 1,000 employees
Learn more about Euclid Innovationsexternal

Full-time

Re-posted 25 days ago

Job description

Job Summary:
Euclid Innovations is seeking a skilled Python Data Engineer to join their dynamic team. The role involves designing and implementing data pipelines, processing large datasets, and ensuring data quality while collaborating with data science and analytics teams.
Responsibilities:
• Design, develop, and maintain scalable data pipelines and infrastructure using Python and related technologies.
• Implement ETL processes to collect, cleanse, and transform data from different sources into formats suitable for analysis.
• Work closely with data scientists and analysts to understand data requirements and deliver solutions that meet business needs.
• Optimize and troubleshoot data-related issues, ensuring data quality and reliability.
• Collaborate with cross-functional teams to integrate data from various sources and systems.
• Utilize cloud platforms (such as AWS, Azure, or GCP) for deploying and managing data pipelines and infrastructure.
• Implement best practices for data security, privacy, and compliance.
• Stay updated with industry trends and emerging technologies in data engineering and analytics.
Qualifications:
Required:
• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience).
• Proven experience as a Data Engineer or similar role, with a focus on Python-based development.
• Strong proficiency in Python programming language, with expertise in Pandas, NumPy, and other relevant libraries.
• Experience with ETL tools and processes, including data extraction, transformation, and loading.
• Familiarity with cloud platforms and services (AWS, Azure, GCP), particularly in deploying data solutions.
• Solid understanding of relational and NoSQL databases, data modeling, and schema design.
• Ability to work effectively in a fast-paced environment and manage multiple priorities.
• Excellent problem-solving skills and attention to detail.
• Strong communication and collaboration skills.
Company:
Euclid Innovations specializes in product development, application development, risk management, computational solutions, and DevOps. Founded in 2009, the company is headquartered in Charlotte, USA, with a team of 501-1000 employees. The company is currently Late Stage.

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