ZipRecruiter

Log In

1

Data Cleaning Jobs in Virginia (NOW HIRING)

Planet

Data Analyst

Arlington, VA · Hybrid

Expertise in SQL and python for data cleaning, aggregation and analytics * Experience with git or other version control * Familiarity with enterprise cloud platforms * Reliability and accuracy in ...

GRVTY

Data Analyst - Mid

Falls Church, VA · On-site

$110K - $150K/yr

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

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · On-site

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis. * Prepare data for dashboards, reports, and visualizations. * Document data sources, requirements, and ...

Vertical Avi

Data, BI & AI Analyst

Alexandria, VA · Hybrid

DAVE Data Program Support * Assist with data collection, research, cleaning, and analysis. * Prepare data for dashboards, reports, and visualizations. * Document data sources, requirements, and ...

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 ...

FRACSYS INC

Data Engineer AWS - US Citizens

Leesburg, VA · On-site

$120K - $145K/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 ...

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 ...

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 ...

Calibre Systems

Data Scientist

Alexandria, VA · On-site

... data cleaning, model testing, results presentation and documentation Experience with data visualization tools such as Tableau, QLIK or Quicksight Experience with AI tools or interest in learning ...

New

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

... cleaning, data integration, data reduction/manipulation, data transformation, data visualization, and data analysis of small to large data sets. * Demonstrated proficiency in data analysis in a ...

CALIBRE

Data Scientist

Alexandria, VA · On-site

Experience with data cleaning, model testing, results presentation and documentation * Experience with data visualization tools such as Tableau, QLIK or Quicksight * Experience with AI tools or ...

CALIBRE Systems

Data Scientist

Alexandria, VA · On-site

Experience with data cleaning, model testing, results presentation and documentation * Experience with data visualization tools such as Tableau, QLIK or Quicksight * Experience with AI tools or ...

New

SimIS Inc.

Data Engineer (T&E)

Norfolk, VA · On-site

$110K - $133K/yr

... cleaning, data integration, data reduction/manipulation, data transformation, data visualization, and data analysis of small to large data sets. * Demonstrated proficiency in data analysis in a ...

previous page

Showing results 41-60

All JobsData Cleaning JobsData Cleaning Jobs in Virginia

Data Cleaning information

See Virginia salary details

$8

$40

$88

How much do data cleaning jobs pay per hour?

As of Sep 2, 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 83% Full Time, 8% Part Time, and 9% Contract. Highlights an 79% In-person, 5% Hybrid, and 16% Remote job distribution, with an average salary of $83,935 per year, or $40.4 per hour.

Data Analyst

Planet

Arlington, VA • Hybrid

Full-time, Part-time

Medical, Dental, Vision, PTO

Posted 6 days ago

Job description

About the Role:

We are seeking a Data Analyst to join our Data Team. The ideal candidate is curious, passionate, data-driven, and believes in Planet's mission and values. You will gain first-hand experience in geospatial and enterprise data modeling and analysis. You'll build data products and solutions such as dashboards, self-service tooling, and data pipelines for consumers across Planet, leveraging tools including git, dbt, python, SQL and Omni. What you deliver will be used to improve satellite collection performance, user experience research, business strategy, and overall customer satisfaction.

This is a full-time, hybrid role which will require you to work from our San Francisco, CA or Arlington, VA office 3 days per week.

Impact You'll Own:

  • Analyze and visualize data to drive insights and inform product, business or operational problems
  • Work with key stakeholders across the business to define metrics to measure product and business performance
  • Develop and own robust, accurate data models as well as maintain, troubleshoot, and improve existing ones
  • Build datasets into self-service data tools leveraging modern data tooling 
  • Contribute to a team of Data Scientists, Analysts and Engineers through discussions and code reviews

What You Bring:

  • 4+ years of relevant experience
  • Bachelors' degree, technical certification, or equivalent
  • Expertise in SQL and python for data cleaning, aggregation and analytics 
  • Experience with git or other version control
  • Familiarity with enterprise cloud platforms
  • Reliability and accuracy in analytics work
  • Experience working in a dynamic environment serving multiple stakeholder groups with different needs and technical ability
  • Familiarity with geospatial data use cases

What Makes You Stand Out:

  • Experience with the modern data stack: Fivetran, dbt, Looker/Omni/Sigma, or similar
  • Experience enabling go to market teams with customer and financial data
  • Familiarity with enterprise cloud platforms (GCP preferred)

Application Deadline:

November 17, 2026 at 11:59p PT

Benefits While Working at Planet:

These offerings are dependent on employment type and geographical location, based upon applicable law or company policy.

  • Comprehensive Medical, Dental, and Vision plans
  • Health Savings Account (HSA) with a company contribution
  • Generous Paid Time Off in addition to holidays and company-wide days off 
  • 16 Weeks of Paid Parental Leave
  • Wellness Program and Employee Assistance Program (EAP)
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Commuter Benefits (if local to an office)
  • Volunteering Paid Time Off

Compensation:

The US base salary range for this full-time position at the commencement of employment is listed below. Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location. The range displays our typical hiring range for new hire salaries in US locations only. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Apply