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Data Cleaning Jobs in Virginia (NOW HIRING)

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Data Eng II

Reston, VA · On-site

$79K - $134K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

Data Eng Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform analysis using AI techniques * Provide data preprocessing, quality checks, data integration ...

... data cleaning and preprocessing • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research ...

... data cleaning and preprocessing • Bachelor's Degree in Computer Science, Data Science, Statistics, Mathematics, Applied Mathematics, Engineering, Economics, Physics, Operations Research ...

Required : • 2+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining • 2+ years of experience with statistical and general-purpose ...

... cleaning and data coding. - Merge multiple datasets using advanced functions of Excel and other statistical applications. - Design, conduct, analyze and report on quantitative and qualitative ...

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Data Cleaning information

See Virginia salary details

$8

$40

$88

How much do data cleaning jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for data cleaning in Virginia is $40.35, according to ZipRecruiter salary data. Most workers in this role earn between $16.36 and $64.52 per hour, depending on experience, location, and employer.

What is a data cleaning?

A Data Cleaning job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure high-quality data for analysis. This process includes removing duplicate records, filling in missing values, standardizing formats, and eliminating irrelevant or erroneous data. Data cleaning helps improve data accuracy, reliability, and usability for business intelligence, machine learning, and decision-making. Professionals in this role typically work with databases, spreadsheets, and data management tools to refine raw data into a structured and meaningful format.

What are the key skills and qualifications needed to thrive in data cleaning, and why are they important?

To thrive in Data Cleaning, you need a strong attention to detail, analytical skills, and a solid understanding of data management practices, often supported by training or coursework in data science, statistics, or information technology. Familiarity with tools like Microsoft Excel, SQL, Python (with libraries such as pandas), or specialized data cleaning software is highly valuable. Excellent problem-solving abilities, persistence, and effective communication are important soft skills for identifying and addressing data inconsistencies while collaborating with other team members. These skills are essential to ensure that datasets are accurate, reliable, and ready for analysis, leading to trustworthy business insights.

Can Chatgpt do data cleaning?

Data cleaning is a task performed by data analysts and data scientists, often using tools like Excel, Python, or specialized software. ChatGPT can assist by providing guidance, code snippets, or suggestions for cleaning data, but it cannot directly perform data cleaning tasks itself. Human oversight and technical skills are required to execute data cleaning processes effectively.

What are the most common challenges faced by professionals in data cleaning roles?

One of the biggest challenges in data cleaning is dealing with incomplete, inconsistent, or duplicate data from multiple sources, which often requires creative problem-solving and close attention to detail. Communicating with team members to clarify data definitions and intended use is also a frequent part of the job, as misinterpretations can lead to errors. Additionally, deadlines and large datasets can make the role fast-paced, so strong organizational skills and efficiency are important. However, overcoming these challenges offers valuable experience and plays a crucial role in ensuring the success of projects that depend on high-quality data.

What are the most commonly searched types of Data Cleaning jobs in Virginia? The most popular types of Data Cleaning jobs in Virginia are:
What cities in Virginia are hiring for Data Cleaning jobs? Cities in Virginia with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Virginia as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $83,935 per year, or $40.4 per hour.

ONSITE DATA ANALYST with Security Clearance

Mindbank Consulting Group

Arlington, VA • On-site

Other

Posted 4 days ago


Job description

Data Analyst IV Degree: Bachelor’s degree in mathematics, statistics, business, law, engineering, social sciences, physical/applied sciences or management discipline such as business administration, accounting, finance, economics or management information technology.
YoE: 3
General Experience: Data Analysis, Program Analysis, Statistical Analysis, and Business Process Improvement.
Certifications: None Task Order Requirements: Experience technical writing, data analysis, report generation and data cleaning in database development, maintenance and use. (e.g., MS Access or similar software tools).