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Data Cleaning Jobs in Reston, VA (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 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 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 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 ...

... 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 ...

Required : • Experience with data exploration, data cleaning, data analysis, data visualization, or data mining • Experience with statistical and general-purpose programming languages for data ...

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 ...

Candidate will support the implementation of a Data Integration/Data Warehouse for the Informatics Teams Data Cleaning - identify erroneous data Analyze and assess the quality and integrity of the ...

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

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Data Cleaning information

What is a Data Cleaning job?

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 the Data Cleaning position, 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 are the most commonly searched types of Data Cleaning jobs in Reston, VA? The most popular types of Data Cleaning jobs in Reston, VA are:
What are popular job titles related to Data Cleaning jobs in Reston, VA? For Data Cleaning jobs in Reston, VA, the most frequently searched job titles are:
What cities near Reston, VA are hiring for Data Cleaning jobs? Cities near Reston, VA with the most Data Cleaning job openings:
Infographic showing various Data Cleaning job openings in Reston, VA as of July 2026, with employment types broken down into 69% Full Time, 28% Part Time, 1% Temporary, and 2% Contract. Highlights an 98% Physical, 1% Hybrid, and 1% Remote job distribution.
Data Analyst

Full-time

Posted 26 days ago


Job description

Cervello Global Corporation is looking for a Data Analyst to provide support to the Marine Corps Integration Division (MCID) for Integration Support, Information Management, and Knowledge Management services.

The Candidate shall provide services to include research and analysis, collection, and organization of Capabilities Planning, Requirements Development, Solution Development, and Resourcing data; Capabilities Planning database management; and visualization of Capabilities Planning information using standard government software applications.

Place of Performance is at the Marine Corps Base in Quantico Virginia.

JOB DUTIES / EXPERTISE:

The Data Analyst will provide critical data collection, research, and analysis services to identify and record PoA data points from various sources. This position requires maintaining briefing materials, conducting coordination and collaboration with stakeholders, and extracting and structuring data from source information.

  • Collect, research, and analyze datat to support PoA development.
  • Coordinate with Capability Portfolio Managers (CPMs), Capability Integration Officerts (CIOs), and other stakeholders.
  • Extract and structure data from reports, brienfs, spreadsheet, and databases.
  • Support data cleaning and transformation efforts using tools such as Microsoft Excel, SharePoint lists, and RDBMS.