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Python Data Cleaning Jobs (NOW HIRING)

Nalley Consulting

Data Scientist - Sr

Washington, DC · On-site

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Nalley Consulting

Data Scientist - Sr

Arlington, VA · On-site

Python and Tableau experience. * 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 7+ years of experience with analyzing structured and ...

Mindrift

Senior Web Scraping Specialist (Python)

$45/hr

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem ... Solid background in data cleaning, normalization, and validation, delivering structured datasets ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data ...

Syntelligent Analytic Solutions

Required Qualifications: * 3+ years of experience with data exploration, data cleaning, data ... Experience with Python data science and visualization packages * Experience with Excel MBA * An ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Python and Tableau experience. * Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data ...

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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.

Senior Python Data Scraping Engineer (Freelance)

Mindrift

New York, NY • Remote

$45/hr

Part-time

Posted 18 days ago

Job description

Mindrift is looking for highly skilled Senior Python Data Scraping Engineers to join the Tendem project and drive specialized data scraping workflows within our hybrid AI + human system.

In this role, as an AI Pilot - that's how we refer to this role at Mindrift - you'll collaborate with Tendem Agents that handle repetitive tasks, while you provide critical thinking, domain expertise, and quality control to deliver accurate and actionable results.

This part-time remote opportunity is ideal for technical professionals with hands-on experience in web scraping, data extraction and processing.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe.

This is a freelance role for a Tendem project. As a Senior Python Data Scraping Engineer, you'll handle data scraping tasks requiring technical precision for web extraction and processing, utilizing various tools such as our provided Apify and OpenRouter alongside your own resourceful approaches.

Key Responsibilities:

  • Own end-to-end data extraction workflows across complex websites, ensuring complete coverage, accuracy, and reliable delivery of structured datasets.
  • Leverage internal tools (Apify, OpenRouter) alongside custom workflows to accelerate data collection, validation, and task execution while meeting defined requirements.
  • Ensure reliable extraction from dynamic and interactive web sources, adapting approaches as needed to handle JavaScript-rendered content and changing site behavior.
  • Enforce data quality standards through validation checks, cross-source consistency controls, adherence to formatting specifications, and systematic verification prior to delivery.
  • Scale scraping operations for large datasets using efficient batching or parallelization, monitor failures, and maintain stability against minor site structure changes.

Requirements:

  • At least 5+ years of relevant experience in data engineering, web scraping, automation, or software development (required).
  • Bachelor's or Master's Degree in Engineering, Applied Mathematics, Computer Science, or related technical fields is a plus.
  • Candidates should have a strong technical foundation and practical experience with scripting, automation, and AI-assisted workflows. We are looking for specialists who can solve non-trivial problems, work confidently with LLMs, and systematically collect, structure, and validate data from diverse sources. A methodical, detail-oriented approach and the ability to work independently are essential.
  • Strong experience in Python web scraping (BeautifulSoup, Selenium or similar), including dynamic content (JS, AJAX, infinite scroll) and APIs via proxies
  • Proven ability to extract data from complex structures (hierarchies, archived pages, inconsistent HTML)
  • Solid background in data cleaning, normalization, and validation, delivering structured datasets (CSV, JSON, Google Sheets)
  • Demonstrated experience handling anti-bot mechanisms and dynamic site structures at scale
  • Experience with cloud infrastructure (AWS or equivalent) and containerization (Docker) as part of real workflows
  • Hands-on experience with LLM frameworks (LangChain, OpenRouter, or similar) applied to automation tasks
  • Strong attention to detail and commitment to data accuracy
  • Self-directed work ethic with ability to troubleshoot independently
  • A link to GitHub is a plus
  • English proficiency: Upper-intermediate (B2) or above (required)

Project time expectations

For this project, tasks are estimated to require around 10-20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $45 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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