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Python Data Cleaning Jobs (NOW HIRING)

Data Engineer

Juno Beach, FL

$111K - $134K/yr

Clean, preprocess, and transform structured and unstructured data using Python * Data Engineer will perform exploratory data analysis (EDA) to uncover insights and trends * Build reusable data ...

$25 - $42/hr

Python Developer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $25 - $42 ... Data cleaning & transformation Cloud & DevOps * AWS (EC2, S3, Lambda) * Microsoft Azure * Google ...

$25 - $42/hr

Python Developer Intern United States Internship | Full-Time (40 hours/week) Pay Range: $25 - $42 ... Data cleaning & transformation Cloud & DevOps * AWS (EC2, S3, Lambda) * Microsoft Azure * Google ...

Python Developer

Charlotte, NC · Hybrid

$49 - $67.75/hr

... 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 ...

Python Developer with Teradata

Charlotte, NC · Hybrid

$49 - $67.75/hr

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 ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Familiarity with languages like Python or R. * Data Cleaning and Preparation: Skills in data cleaning, transformation, and quality assurance. * Data Modeling: Ability to design and implement data ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining ... Experience with Python data science and visualization packages Clearance : Applicants selected will ...

Company Description First IT Solutions Experience in R, Python, creating data models using advanced ... Experience in R/SAS for data cleaning & manipulation Experience in Claims data processing.

Data Scientist

Mclean, VA · On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data ... Experience with Python data science and visualization packages Clearance: Applicants selected will ...

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Python Data Cleaning information

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How much do python data cleaning jobs pay per hour?

As of Jun 13, 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 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 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 are the key skills and qualifications needed to thrive as a Python Data Cleaning specialist, and why are they important?

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 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.
Infographic showing various Python Data Cleaning job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 86% Full Time, and 13% Part Time. Highlights an 100% Physical job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Data Scientist - Sr with Security Clearance

Nalley Consulting

Reston, VA

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 24 days ago


Job description

Position: Data Scientist LCAT: Senior
Location: Reston, Virginia This position is contingent upon award. Required clearance: TS/SCI with willingness to take CI poly. Candidates with current CI poly taken within the past seven years will be prioritized. Required experience: At least 8 years
Required education: Bachelor's degree in Computer Science, Mathematics, or relevant field and 5+ years relevant experience Description Nalley Consulting has an opportunity for an experienced Data Scientist to support on-going research and development efforts for functional characterization of WMD facilities and their associated design. The successful candidate will: Provide data science, machine learning, and artificial intelligence support. Conduct data engineering tasks to integrate multiple APIs, and support process automation, data visualization, and application integration. Develop tools to automate data analysis of large data sets. Requirements: 4+ years of experience using programming languages, including Python, R, or Java, to manipulate and analyze data Bachelor's degree in Computer Science, Mathematics, or relevant field Demonstrated ability to work effectively within or lead a team of peers, as well as excellent interpersonal and communications skills Ability to communicate highly technical analyses at a level comprehensible to laymen and senior-level government representatives Ability to clearly express in writing technical analysis results Combining multiple date sources into GUI (graphic user interface) and visual and geographical displays. Python and Tableau experience. Experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with analyzing structured and unstructured data sources Experience with statistical and general-purpose programming languages for data analysis Experience with developing predictive data models, quantitative analyses, and visualization of target data sources Experience with leading the development of solutions to complex problems Experience with natural language processing, text mining, or machine learning techniques Experience implementing automation in processing, presenting, or manipulating data Other desired skills: Demonstrated ability writing ICD 203 and ICD 206-compliant finished intelligence production 15 years of experience in solving DoD data science problems Experience in the development of algorithms leveraging Python and SQL Experience with developing solutions incorporating Large Language Models Experience with Python data science and visualization packages Experience with Excel MBA Experience with AC2SP, R, GitHub, and Palantir An active CI polygraph ABOUT NALLEY CONSULTING Nalley Consulting is a Service Disabled Veteran Owned Small Business working with prime partners to staff Department of Defense and Intelligence Community positions. Created by a U.S. Navy intelligence veteran, Nalley Consulting has grown to include multiple IDIQ vehicles in several states. Nalley Consulting fringe benefits include: Excellent medical, dental, and vision benefits PTO 11 paid federal holidays Tuition assistance Paid military-reserve leave Paid parental leave for birth or adoption 401k matching up to 5 percent of the base salary Flex time Company-paid short-term disability, long-term disability, and life insurance.