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Data Cleaning Jobs in Virginia (NOW HIRING)

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA · On-site

$131K - $158K/yr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data ...

Hatch IT

Junior Data Engineer (DEA)

Arlington, VA

$131K - $158K/yr

Support data cleaning, standardization, classification, and tagging activities. * Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data ...

Aitopics

Data Scientist

Mclean, VA · On-site

$140 - $209/hr

Dashboards | Data Visualization | Data cleaning | Experimental Design | Google Docs * AWS | Agile | Airflow | Amazon Redshift | Apache Spark * API | Backtesting | Data Analysis | Data Visualization ...

BAE Systems

Sr. Data Engineer

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 ...

Dovel Technologies, Inc

Data Scientist

Norfolk, VA · On-site

$70 - $90/hr

The Data Scientist will focus on performing ETL / data cleaning, developing interactive visualizations, building predictive models, and support implementing Artificial Intelligence solutions tied to ...

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

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

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

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

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

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

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

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 ...

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Showing results 21-40

All JobsData Cleaning JobsData Cleaning Jobs in Virginia

Data Cleaning information

See Virginia salary details

$8

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$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.

Junior Data Engineer (DEA)

Hatch IT

Arlington, VA • On-site

$131K - $158K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Job description

hatch I.T. is partnering with Expression to find a Junior Data Engineer (DEA). See details below:
About The Role:
Expression is seeking a Junior Data Engineer to support the Drug Enforcement Administration (DEA) Investigative Case and Data Ecosystem (ICDE) modernization effort. The program is focused on replacing fragmented legacy investigative and case management capabilities with a centralized, secure, scalable, and integrated ecosystem.
Working alongside experienced data engineers and other technical team members, the Data Engineer 2 will support data ingestion, transformation, validation, migration, and integration activities. This is an early-career opportunity for an individual with foundational data engineering knowledge who is interested in developing hands-on experience supporting a large-scale Federal technology modernization program.
Clearance: Secret level required and willingness to pursuit TS/SCI.
Location: Arlington, VA. The program is primarily onsite at DEA Headquarters.
About the Company:
Founded in 1997 and headquartered in Washington DC, Expression provides data fusion, data analytics, software engineering, information technology, and electromagnetic spectrum management solutions to the U.S. Department of Defense, Department of State, and national security community. Expression's "Perpetual Innovation" culture focuses on creating immediate and sustainable value for their clients via agile delivery of tailored solutions built through constant engagement with their clients. Expression was ranked #1 on the Washington Technology 2018's Fast 50 list of fastest growing small business Government contractors and a Top 20 Big Data Solutions Provider by CIO Review.
Responsibilities:
  • Assist in designing, developing, and maintaining ETL pipelines for ingesting, transforming, and loading datasets under the guidance of more experienced engineers.
  • Support migration of legacy data into the modernized DEA investigative and case management ecosystem.
  • Assist with analyzing data structures, source-to-target mappings, and data-quality checks to identify issues or gaps.
  • Help ensure data accuracy, consistency, and integrity by executing validation queries, profiling datasets, and supporting data-cleaning efforts.
  • Contribute to data migration activities, including mapping source data to target systems and executing migration scripts.
  • Support data cleaning, standardization, classification, and tagging activities.
  • Collaborate with analysts, data scientists, engineers, and business stakeholders to translate requirements into data transformations and pipeline updates.
  • Monitor pipeline performance and assist with troubleshooting operational issues, escalating complex issues as appropriate.
  • Participate in validation activities and help document migration results and identified data-quality issues.
  • Participate in Agile ceremonies and support data engineering activities throughout development sprints.
  • Help document data flows, transformation logic, mappings, and operational processes to support maintainability and knowledge sharing.

Qualifications:
  • Bachelor's degree in STEM fields and 0-1 years of professional experience.
  • Foundational exposure to data analysis, ETL concepts, or data migration through coursework, internships, personal projects, or early professional experience.
  • Working knowledge of SQL, including basic queries, joins, and aggregations.
  • Familiarity with Python for data manipulation or automation tasks; introductory-level experience is acceptable.
  • Introductory experience with ETL or workflow tools such as Apache Airflow, Talend, or similar technologies.
  • Understanding of basic data warehousing concepts, including staging, fact/dimension models, or schema structures.
  • Exposure to cloud-based data storage or compute platforms such as AWS S3/Redshift, Google BigQuery, Azure Storage, or similar environments.
  • Foundational understanding of data profiling, validation, and data quality.
  • Strong communication and documentation skills.
  • Ability and willingness to learn in a fast-paced, evolving technical environment.

Preferred Qualifications:
  • Hands-on or coursework experience with AWS, Azure, or Google Cloud Platform.
  • Exposure to Hadoop, Spark, or other distributed-processing technologies.
  • Familiarity with Power BI, Tableau, Looker, or similar visualization tools.
  • Familiarity with Git or similar version-control systems.
  • Experience building or supporting automated data workflows using orchestration tools or scheduled scripting.
  • Exposure to Agile development methodologies.
  • Coursework, internship, project, or professional exposure to data migration or system-modernization activities.

Benefits:
Expression offers competitive salaries and benefits, such as:
  • 401k matching
  • PPO and HDHP medical/dental/vision insurance
  • Education reimbursement
  • Complimentary life insurance
  • Generous PTO and holiday leave
  • Onsite office gym access
  • Commuter Benefits Plan

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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