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Data Cleaning Jobs in Virginia (NOW HIRING)

BAE Systems

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 ...

BAE Systems

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 ...

BAE Systems

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 ...

Cymertek Corporation

Data Scientist

Reston, VA · On-site

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

Cymertek Corporation

Data Scientist

Chantilly, VA · On-site

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

RPMGlobal

Data Programmer/Data Analyst

Springfield, VA · On-site

$90 - $120/hr

Administer quality control and process improvement activities, including data entry, data cleaning and data coding * Merge multiple datasets using advanced functions of Excel and other statistical ...

Insilico Logix

Data Analyst

Herndon, VA

$60K - $70K/yr

... 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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All JobsData Cleaning JobsData Cleaning Jobs in Virginia

Data Cleaning information

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$8

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$88

How much do data cleaning jobs pay per hour?

As of Aug 23, 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.

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 skills are needed for data cleaning?

Data cleaning requires skills in data analysis, attention to detail, and proficiency with tools like Excel, SQL, or data cleaning software. Knowledge of data formats, basic programming (e.g., Python or R), and understanding of data quality principles are also important for effective data cleaning tasks.

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 are popular job titles related to Data Cleaning jobs in Virginia?

For Data Cleaning jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Cleaning jobs in Virginia look for?

The top searched job categories for 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:

Data Cleaning jobs near you
Infographic showing various Data Cleaning job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote 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 20 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).

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