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Data Cleaning Jobs in Reston, VA (NOW HIRING)

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 ...

Data Eng Sr

Reston, VA ยท 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 ...

Dynamite Data Engineer

Arlington, VA ยท On-site

$131K - $158K/yr

Preferred : โ€ข Familiar with database design, server management, connection protocols, database normalization, and principles of information theory โ€ข Experience with data cleaning or data ...

Data Engineer

Mclean, VA

$115K - $139K/yr

Ensure data quality and integrity by implementing appropriate data cleaning and validation procedures. * Collaborate with data scientists and analysts to support their data needs. * Optimize data ...

Data Engineer

Mclean, VA ยท On-site

$115K - $139K/yr

Ensure data quality and integrity by implementing appropriate data cleaning and validation procedures. * Collaborate with data scientists and analysts to support their data needs. * Optimize data ...

Data Engineer, Web Scraping

Washington, DC ยท Remote

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking; * Contribute to the development of internal and external APIs, following best practices;

Data Analyst

Mclean, VA ยท On-site

Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality. * Statistical Analysis: Apply appropriate ...

Data Cleaning & Preparation: Clean, filter, and transform raw data to remove inconsistencies and prepare it for analysis, ensuring high data quality. * Statistical Analysis: Apply appropriate ...

Data Science Tutor

Washington, DC ยท 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 ...

Data Science Tutor

Fairfax, VA ยท 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 ...

Data Science Tutor

Alexandria, VA ยท 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 ...

Data Science Tutor

Leesburg, VA ยท 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 ...

Data Science Tutor

Rockville, MD ยท 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 ...

Data Science Tutor

College Park, MD ยท 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 ...

Data Engineer, Web Scraping

Washington, DC ยท On-site

$105K - $125K/yr

Prepare data for further analysis, including data cleaning, transformation, anonymization, and masking; * Contribute to the development of internal and external APIs, following best practices;

Clean, validate, and transform data to ensure quality and usability across downstream analytical solutions. * Support data ingestion, transformation, and automation workflows across multiple systems ...

New

Clean, validate, and transform data to ensure quality and usability across downstream analytical solutions. * Support data ingestion, transformation, and automation workflows across multiple systems ...

New

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Data Cleaning information

How much is paid for data entry?

Data entry jobs typically pay between $10 and $20 per hour, depending on experience, complexity of tasks, and the employer. Some positions may offer project-based rates or freelance pay rates, which can vary widely. Accurate data entry requires attention to detail and proficiency with tools like spreadsheets or data management software.

What does a data cleaner do?

A data cleaner is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This involves identifying and fixing errors, removing duplicates, and standardizing formats using tools like spreadsheets or data management software. Data cleaning is essential for reliable analysis and decision-making in data-related roles.

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.

How hard is data cleaning?

Data cleaning is a fundamental task for data analysts and data scientists, involving identifying and correcting errors, inconsistencies, and missing values in datasets. The difficulty depends on the complexity and size of the data, as well as the tools used, such as Excel or specialized software like Python or R. Developing skills in data validation and using automation can make the process more efficient.

How to make $2000 a week working from home?

Data cleaning jobs can pay varying rates depending on experience, complexity, and workload, with some freelancers earning $20 to $50 per hour. To reach $2000 weekly, one would need to work approximately 40 to 100 hours at these rates, often requiring strong attention to detail, proficiency with data tools, and consistent effort. Building a client base or working for companies that offer high-volume projects can help achieve higher weekly earnings from home.

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 June 2026, with employment types broken down into 100% Full Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.
Data Analyst

Data Analyst

USM

Washington, DC โ€ข On-site

Contractor

Posted 7 days ago


Job description

Job Description

Job Title: Data Analyst

Location: Washington DC (Locals only)

Duration: 6+ Months

Note: Need Locals for F2F.

Visa: Any visa is fine except OPT.

Data Analysis is the art of collecting and analyzing data so that FEP can use said data to address gaps in operational capabilities and support analytics and reporting projects. The Senior Data Analyst/Modeler is a highly trained professional who will become an expert in our source data and lead the data mapping effort to migrate the data into our new enterprise data platform. The Senior Data Analyst/Modeler will use his/her technical expertise and work closely with source system experts to perform data research, run advanced queries, assess data quality and integrity issues, determine data definitions, and define data mappings.

Tasks:

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 data

Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality

Understand the meaning/business context of data

Acquire data from internal or external data sources and maintain mapping documents of the files, databases/data systems.

Perform data analysis and data modeling to create source to target mappings.

Evaluate risk from statistical information to determine risk to operations or non-compliance.

Create systems models, specifications, diagrams, and charts to provide direction to business and other IT teams.

Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback

Identify, analyze, and interpret trends or patterns in complex data sets.


Preferred Qualifications

Master of Science in Mathematics, Engineering, or Computer Science

Working knowledge of HEDIS, Fraud, Waste & Abuse

Working knowledge of ETL

Working knowledge of ALM

Qualifications

Required Qualifications

ย 8+ years demonstrated experience as Data Analyst

ย Strong Structured Query Language (SQL) skills

ย Demonstrated ability to perform complex queries, assess data quality and develop data mappings.

ย Working knowledge of U.S. Healthcare Industry

ย B.S. in Mathematics, Engineering, or Computer Science

Additional Information

All your information will be kept confidential according to EEO guidelines.