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Python Data Cleaning Jobs (NOW HIRING)

Python Lead

Charlotte, NC · On-site

$136K - $168K/yr

... Data Cleaning and Data transformation using Python • Experience working with Pandas, Numpy and Regular Expressions in Python • Identify Pattern and trends • Strong understanding in building ...

Perform data cleaning, transformation, validation, and exploratory data analysis (EDA). * Use Python libraries such as Pandas, NumPy, Matplotlib, and Seaborn for data analysis and visualization.

$125 - $150/hr

Senior Python Data Engineer / Applied AI Engineer**---**About The Role*** Join a cybersecurity ... Strong software engineering fundamentals: clean code, testing, debugging, version control, and ...

Palm Beach , FL (Day One Onsite to Client Location) Experence : 8 + Years Hhands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working ...

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Writing clean, efficient, and maintainable code that meets industry standards. * Developing and ...

Python Developer/Data Engineer

New York, NY · On-site

$55 - $75.75/hr

As an intermediate-level Python developer in data engineering, you'll design, build, and maintain ... Writing clean, efficient, and maintainable code that meets industry standards. * Developing and ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

We are seeking a Data Scientist with 6 or more years of hands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working with large, messy ...

Data Scientist 3

Annapolis, MD · On-site

$161K - $211K/yr

Python), statistical analysis (e.g. variability, sampling error, inference, hypothesis testing, EDA, application of linear models), data management (e.g. data cleaning and transformation), data ...

Responsibilities : • Leverages appropriate analytic and visualization tools (SQL, R, Python, Tableau, others) to develop complex data cleaning, integration, and analysis projects. • Applies ...

Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools * Effective skill with analytical techniques ...

Skill in data manipulation and scripting languages such as SQL, Python, or R, as well as advanced data cleaning and preprocessing techniques and tools * Effective skill with analytical techniques ...

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Python Data Cleaning information

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$13

$58

$86

How much do python data cleaning jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for python data cleaning in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is Python data cleaning?

Python data cleaning is the process of using Python programming language and its libraries to identify, correct, or remove inaccurate, incomplete, or irrelevant data from datasets. This step is crucial in data analysis and machine learning, as clean data leads to more reliable and meaningful results. Tasks involved may include handling missing values, correcting data types, removing duplicates, and standardizing formats. Popular Python libraries for data cleaning include pandas and NumPy. Effective data cleaning ensures that analyses and models are built on high-quality, trustworthy data.

What are the key skills and qualifications needed to thrive as a Python data cleaning specialist?

To excel in Python Data Cleaning, you need strong analytical skills, proficiency with Python programming, and a solid understanding of data manipulation concepts, often supported by a degree in computer science, statistics, or a related field. Familiarity with libraries such as pandas, NumPy, and data visualization tools, along with knowledge of SQL databases, is typically required. Attention to detail, problem-solving abilities, and effective communication help you identify and resolve data quality issues efficiently. These skills are essential to ensure accurate, reliable datasets that drive meaningful analysis and business decisions.

What are some common challenges faced in a Python data cleaning role, and how can they be addressed?

Professionals in Python data cleaning roles often encounter challenges such as dealing with inconsistent data formats, missing or duplicate values, and integrating data from multiple sources. These issues require strong attention to detail and proficiency with Python libraries like pandas and NumPy. Effective communication with data engineers and domain experts is also important to clarify data definitions and ensure accuracy. Regularly documenting cleaning processes and using version control helps maintain data quality and reproducibility, making teamwork more efficient.

What is the difference between Python Data Cleaning vs Data Analyst?

AspectPython Data CleaningData Analyst
Required SkillsPython, data cleaning libraries (pandas, NumPy)Excel, SQL, data visualization
Work EnvironmentData processing, scripting, automationData interpretation, reporting, presentations
Industry UsageData preparation for analysis or modelingBusiness insights, decision-making
CertificationsPython certifications, data analysis coursesBusiness analysis, Excel certifications

Python Data Cleaning focuses on preparing raw data using programming skills, primarily for further analysis or modeling. Data Analysts interpret cleaned data to generate insights and reports. While both roles require understanding data, Python Data Cleaning emphasizes scripting and automation, whereas Data Analysts focus on analysis and communication.

What other helpful pages are available for Python Data Cleaning?

Other pages related to Python Data Cleaning:

Infographic showing various Python Data Cleaning job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Python Lead

Charlotte, NC • On-site

InterSources Inc
Recruiting and Staffing Services • 51 - 200 employees

$136K - $168K/yr

Full-time

Re-posted 20 days ago


Job description

Job Summary:
InterSources Inc is a Certified Diverse Supplier offering innovative solutions for Digital Transformations across various domains. They are seeking a Python Lead to leverage expertise in Python programming and web frameworks to build scalable applications and REST APIs, while driving growth through technology-driven client experiences.
Responsibilities:
• Expertise Python programming / web framework knowledge (like Django)
• Working knowledge and experience using threading limitation of Python and multi-process architecture.
• Familiarity with event driven programming in Python.
• Experience in scheduling jobs or trigger events programmatically.
• Hands on experience with JIRA, Agile methodology, source code management - GIT, SVN etc.
• Experience in Data Cleaning and Data transformation using Python
• Experience working with Pandas, Numpy and Regular Expressions in Python
• Identify Pattern and trends
• Strong understanding in building REST APIs/ Micro services architecture
• Good Development experience on Webservices(Flask), Web Apps
• Strong understanding of object-oriented programming
• Understanding of fundamental design principles for building a scalable application
• Proficient in implementing automated unit tests
• Working knowledge on Java, Spring integration, MVC , Hibernate, Understanding of Spring boot Micro services
Qualifications:
Required:
• Expertise Python programming / web framework knowledge (like Django)
• Working knowledge and experience using threading limitation of Python and multi-process architecture
• Familiarity with event driven programming in Python
• Experience in scheduling jobs or trigger events programmatically
• Hands on experience with JIRA, Agile methodology, source code management - GIT, SVN etc.
• Experience in Data Cleaning and Data transformation using Python
• Experience working with Pandas, Numpy and Regular Expressions in Python
• Identify Pattern and trends
• Strong understanding in building REST APIs/ Micro services architecture
• Good Development experience on Webservices(Flask), Web Apps
• Strong understanding of object-oriented programming
• Understanding of fundamental design principles for building a scalable application
• Proficient in implementing automated unit tests
• Working knowledge on Java, Spring integration, MVC , Hibernate, Understanding of Spring boot Micro services
Company:
InterSources Inc. solves operational problems where protection, performance, compliance, AI, and workforce capability must work together. Founded in 2007, the company is headquartered in Fremont, USA, with a team of 501-1000 employees. The company is currently Late Stage.

InterSources logo

About InterSources

Sourced by ZipRecruiter

In 2007, Our journey began as pioneers in the realm of technology and security. Since then, InterSources Inc. has evolved into a trusted partner, leading the way in Cloud Security, Cybersecurity, PLG Consulting, Digital Transformation, and Professional Services. With a rich history of excellence and a forward-thinking approach, we continue to secure your digital future and drive innovation. Explore our legacy of success and discover the possibilities that lie ahead.

Industry

Recruiting and staffing services

Company size

51 - 200 Employees

Headquarters location

Fremont, CA, US

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