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Data Cleaning Jobs in Virginia (NOW HIRING)

Booz Allen Hamilton

Data Scientist

Mclean, VA · On-site

$99 - $225/hr

Explore, clean, analyze, visualize, and model structured and unstructured data. * Develop and deploy predictive models and quantitative analyses. * Turn disparate data points into objective answers ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

Examine complex mission and operational problem sets Create insights from large, complex datasets • Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

Support data analytics, data cleaning, analyst workflow efficiencies, and ETL transformation capabilities * Apply statistical and analytic methods to support: * Answer intelligence questions and ...

Varsity Tutors

Data Science Tutor

Charlottesville, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Virginia Beach, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Leesburg, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Richmond, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Norfolk, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Salem, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Alexandria, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Fairfax, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Varsity Tutors

Data Science Tutor

Blacksburg, VA · Remote

$18 - $40/hr

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Mindlance

Events Data Associate

Reston, VA · On-site

$19 - $21.75/hr

Will be responsible for cleaning data, regularly, to avoid name misspelling and other errors. Rate: others in this role have been paid ***-***/hour and budget commensurate with this Process:

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How much do data cleaning jobs pay per hour?

As of Aug 11, 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 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 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution, with an average salary of $83,935 per year, or $40.4 per hour.

Data Scientist

Booz Allen Hamilton

Mclean, VA • On-site

$99 - $225/hr

Other

Medical, Life, Retirement, PTO

This job post has expired today. Applications are no longer accepted.

Booz Allen Hamilton rating

8.9

Company rating: 8.9 out of 10

Based on 49 frontline employees who took The Breakroom Quiz

9th of 72 rated business consultants

Job description

Data Scientist

As a data scientist, you will unlock insights from complex data sets across the private and public sectors—ranging from fraud detection to cancer research to national intelligence—by applying IoT, machine learning, and artificial intelligence. You’ll collaborate closely with clients to understand their questions and needs, dig into data‑rich environments, and convey actionable insights. Your leadership and data science expertise will drive real‑world impact and help clients make informed decisions.

Responsibilities
  • Lead the development of algorithms and systems to address complex problems.
  • Guide teammates and mentor junior staff in data‑science initiatives.
  • Work with clients to uncover and define business questions and translate them into analytical solutions.
  • Explore, clean, analyze, visualize, and model structured and unstructured data.
  • Develop and deploy predictive models and quantitative analyses.
  • Turn disparate data points into objective answers and actionable recommendations.
Qualifications
  • 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining.
  • 5+ years of experience analyzing structured and unstructured data.
  • 3+ years of experience with statistical and general‑purpose programming languages for data analysis.
  • Proficient in wrangling data from disparate databases and APIs.
  • Experience developing predictive data models, quantitative analyses, and visualization of targeted data sources.
  • Experience leading the development of solutions to complex problems.
  • Experience with natural language processing, text mining, or machine‑learning techniques.
  • TS/SCI clearance with a polygraph required.
  • Bachelor’s degree.
Nice to Haves
  • Experience developing algorithms leveraging Python and SQL.
  • Experience engineering AI solutions, including accessing, fine‑tuning, or self‑hosting large language model (LLM) APIs.
  • Experience building production‑quality machine‑learning models or pipelines.
  • Experience with distributed data or computing frameworks such as Apache Spark, Hadoop MapReduce, or HPCC ECL.
  • Proficiency with Python data‑science and visualization packages.
Compensation & Benefits

The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). Benefits include health, life, disability, financial, and retirement plans, paid leave, professional development, tuition assistance, work‑life programs, and dependent care. Full‑time and part‑time employees working at least 20 hours a week are eligible for most benefit programs. For more information, see our Employee Benefits page.

Security Clearance
  • Applicants selected will be subject to a security investigation and must meet eligibility requirements for access to classified information.
  • TS/SCI clearance with polygraph is required.
EEO Statement

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other status protected by applicable federal, state, local, or international law.

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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914

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