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Data Cleaning Jobs in Reston, VA (NOW HIRING)

Samprasoft

Senior Data Analyst/Modeler

Reston, VA · On-site

$89K - $112K/yr

Data Cleaning - identify erroneous data and determine appropriate resolution * Analyze and assess the quality and integrity of the data * Develop and implement data collection systems and other ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data sources * Experience with statistical ...

Nalley Consulting

Data Scientist - Mid

Reston, VA · On-site

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data sources * Experience with statistical ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data sources * Experience with statistical ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K/yr

Data extraction, Data cleaning, Data Loading, Statistical Data Analysis, Exploratory Data Analysis, Data Wrangling, * Write complex SQL queries and stored procedures to extract, manipulate, and ...

Nalley Consulting

Data Scientist - Sr

Reston, VA · On-site

Experience with data exploration, data cleaning, data analysis, data visualization, or data mining * Experience with analyzing structured and unstructured data sources * Experience with statistical ...

Redhorse Corporation

Data Analyst

Arlington, VA · On-site +1

Data Analysts will serve primarily as the operators of the PANDA platform's Data Cleaning, Analyzer and LRSF Applications. The Analysts will be selected primarily for technical and data acumen and ...

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All JobsData Cleaning JobsData Cleaning Jobs in Reston, VA

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.

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What cities near Reston, VA are hiring for Data Cleaning jobs? Cities near Reston, VA with the most Data Cleaning job openings:
Data Cleaning jobs near you
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.
Senior Data Analyst/Modeler

Senior Data Analyst/Modeler

Samprasoft

Reston, VA • On-site

$89K - $112K/yr

Other

Posted 17 days ago

Job description

Senior Data Analyst/Modeler

Hiring Manager Notes:

  • Needs to be able to perform the source to target mapping, ad-hoc analysis, troubleshoot product defects, profiling
  • Need to sit on client calls so they can understand the requirements
  • Very good skills
  • Good understanding of big data tech stack, healthcare knowledge would really be beneficial
  • Needs to be heavy on the Data side. Can perform complex SQL queries

8-11 Years Experience

  • Data Analysis is the art of collecting and analyzing data so that Client 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 and determine appropriate resolution
  • 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.
  • Perform gap analysis of data requirements versus current data sources.
  • Work closely with business analysts and source data experts to develop data requirements.
  • Assess current data and assist in the resolution of data anomalies.
  • Interpret data, analyze results using statistical techniques and provide ongoing reports and feedback
  • Data profiling experience(Preferably using Abinitio DQE)

Required Qualifications

  • 5+ years demonstrated experience as Data Analyst
  • Strong Structured Query Language (SQL) skills
  • Demonstrated ability to perform complex queries, assess data quality and develop data mappings.
  • Working knowledge of U.S.

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