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Data Cleansing Jobs in Virginia (NOW HIRING)

nLeague

VRS - SQL Data Cleanup Specialist

Richmond, VA · On-site

Utilize tools and techniques to automate and expedite the data cleansing process. * Collaborate with the data team to ensure data integrity and accuracy. * Document the data cleanup process and ...

Cyber Resource

Data Warehouse Architect

Richmond, VA · On-site

Defining and implementing data cleansing / processing routines Skill Required / Desired Amount of Experience Data ArchitectureRequired5YearsData ProcessingRequired5YearsOracle Health (formerly Cerner ...

PeopleNTech

Data Warehouse Architect 2

Richmond, VA · On-site

Defining and implementing data cleansing / processing routines Skill Required / Desired Amount of Experience Data Architecture Required 5 Years Data Processing Required 5 Years Oracle Health ...

CYNET SYSTEMS

Data Warehouse Architect 2

Richmond, VA · On-site

$65 - $70/hr

Defining and implementing data cleansing / processing routines. Founded in 2010 and headquartered in the Washington, DC metro area, Cynet Systems Inc. is a leading staffing and recruiting powerhouse.

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Data Cleansing information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data cleansing jobs pay per year?

As of Aug 9, 2026, the average yearly pay for data cleansing in Virginia is $81,931.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,000.00 and $96,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in data cleansing, and why are they important?

To thrive in Data Cleansing, you need strong analytical skills, attention to detail, and familiarity with data management concepts—ideally supported by a degree in information technology, computer science, or a related field. Proficiency with tools such as Microsoft Excel, SQL, data profiling tools, and, in some cases, data integration platforms or data quality software is highly valuable. Excellent problem-solving abilities, strong communication, and the ability to work both independently and collaboratively are crucial soft skills. These competencies are essential for ensuring the accuracy, consistency, and usability of organizational data, which directly impacts decision-making and operational efficiency.

What is data cleansing?

A Data Cleansing job involves identifying and correcting inaccuracies, inconsistencies, and errors in datasets to ensure data quality and reliability. Professionals in this role clean data by removing duplicates, standardizing formats, handling missing values, and validating information. This process improves the accuracy of business insights, enhances decision-making, and optimizes data-driven operations. Data cleansing is commonly required in industries such as marketing, finance, healthcare, and e-commerce, where accurate data is essential for efficiency and compliance.

What are some common challenges faced in data cleansing?

Data Cleansing professionals often encounter challenges such as handling large volumes of inconsistent or incomplete data, identifying duplicate entries, and ensuring accuracy while meeting tight deadlines. They may also need to work with data from multiple sources and formats, requiring adaptability and strong technical know-how. Collaboration with data analysts, IT teams, and business stakeholders is common to ensure the cleaned data meets organizational needs. Overcoming these challenges helps maintain data integrity and directly supports effective business operations.

What are popular job titles related to Data Cleansing jobs in Virginia? For Data Cleansing jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Data Cleansing jobs in Virginia look for? The top searched job categories for Data Cleansing jobs in Virginia are:
Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

VRS - SQL Data Cleanup Specialist

nLeague

Richmond, VA • On-site

Other

Re-posted 21 days ago

Job description

SQL Data Cleanup Specialist

Interview: Virtual & In-person

Work mode: Hybrid (Tuesday & Wednesday)

Duration: 12+ months

Job Description:

The Virginia Retirement System (VRS) Data Office team is seeking a skilled Structured Query Language (SQL) Data Cleanup Specialist to assist with cleansing and standardizing data across a large-scale SQL Server database.

Essential Duties and Responsibilities:

Assist with data cleanup related to the Data Quality Enhancement initiative and other development efforts as needed. Activities include:

  • Maintain the confidentiality of all business data and adhere to VRS data security policies.
  • Analyze and understand the structure and relationships within the database.
  • Write and execute SQL updates and insert statements to clean and optimize data.
  • Utilize tools and techniques to automate and expedite the data cleansing process.
  • Collaborate with the data team to ensure data integrity and accuracy.
  • Document the data cleanup process and provide regular progress updates.
  • Special projects in the direction of the Chief Operating Officer or Data Officer.

Required Skills and Experience:

  • Minimum 5 years of hands-on experience in SQL Server SQL development, including writing complex queries, data manipulation statements, stored procedures, and tuning.
  • Knowledge of indexing, query optimization, transaction handling for efficient data updates.
  • Ability to analyze large datasets and pinpoint anomalies or inconsistencies.
  • Familiarity with data cleansing tools and techniques.
  • Ability to work independently and manage time effectively.
  • Excellent problem-solving skills and attention to detail.
  • Strong communication skills to collaborate with the data team and other business units.

Desired Skills:

  • Experience in Pensions Benefit Management programs.
  • Experience with data cleansing tools (SQL Server Data Quality Services, Trifacta, Talend, Alteryx, etc.).
  • Knowledge of programming languages such as Python.
  • Familiarity with ETL and automated data transformation techniques.
  • Other relevant certifications in SQL, Data Analysis and database management.

Education and Experience:

  • Bachelor's degree from a four-year college or university preferred and 5+ years' experience with database technology or data organizations required.