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Data Cleansing Jobs in Virginia (NOW HIRING)

DataSync Inc.

Data Warehouse Architect

Richmond, VA · On-site

This role will focus on building a unified clinical data domain by designing data architectures, integrating data from multiple source systems, implementing data processing and cleansing routines ...

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 ...

Caresoft

Data Warehouse Architect

Richmond, VA · On-site

Defining and implementing data cleansing / processing routines Skills Required: Data Architecture. Data Processing. Oracle Health (formerly Cerner). Nice to have: Google BigQuery. Python. Google ...

West 4th Strategy

Database Manager

Hampton, VA · On-site

Provides weekly data cleansing reports on the accuracy of data * Converts legacy data contained in systems other than ELMS and migrates it into ELMS using commercially acceptable means (e.g ...

Cyber Resource

Data Warehouse Architect

Richmond, VA

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

West 4th Strategy

Database Manager

Hampton, VA · On-site

$92K - $97K/yr

Provides weekly data cleansing reports on the accuracy of data * Converts legacy data contained in systems other than ELMS and migrates it into ELMS using commercially acceptable means (e.g ...

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 ...

NimbusAITech LLC

Data Analyst

Richmond, VA · On-site

Perform data cleansing and quality assurance. * Support business reporting and operational analytics. * Identify trends, patterns, and actionable insights. * Collaborate with business and technical ...

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All JobsData Cleansing JobsData Cleansing Jobs in Virginia

Data Cleansing information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data cleansing jobs pay per year?

As of Jul 26, 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 the Data Cleansing position, 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 a Data Cleansing job?

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.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can be complex depending on data size and quality. It requires attention to detail, familiarity with tools like Excel or specialized software, and sometimes knowledge of programming languages such as Python or SQL. The difficulty varies based on the data's complexity and the specific requirements of the project.

What skills are needed for data cleansing?

Data cleansing requires strong attention to detail, proficiency in spreadsheet tools like Excel, and knowledge of data management software such as SQL or data cleaning tools. Analytical skills and the ability to identify and correct errors are essential for ensuring data accuracy and consistency.

What are some common challenges faced in a Data Cleansing role?

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 does a data cleanser do?

A data cleanser is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This process involves identifying and fixing errors, removing duplicates, and standardizing formats, often using tools like Excel or specialized data cleaning software. Data cleansing helps improve data quality for analysis and decision-making.

What is a data cleansing job?

A data cleansing job involves reviewing and correcting data to ensure accuracy, consistency, and completeness. It often requires skills in data management tools and attention to detail to identify and fix errors, duplicates, or inconsistencies in datasets.
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 July 2026, with employment types broken down into 6% Locum Tenens, 79% Full Time, 8% Part Time, 1% Temporary, 4% Contract, and 2% Summer. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.
Data Warehouse Architect

Data Warehouse Architect

DataSync Inc.

Richmond, VA • On-site

Other

Posted 10 days ago

Job description

Role Overview

We are seeking a Data Architect/Data Engineer to support the design, integration, and management of enterprise clinical data. This role will focus on building a unified clinical data domain by designing data architectures, integrating data from multiple source systems, implementing data processing and cleansing routines, and supporting enterprise healthcare analytics initiatives.

This opportunity is based in Richmond, VA, and is open to candidates within a 100-mile radius of Richmond, VA. The client is only considering candidates who can work without requiring present or future employment sponsorship.

Key Responsibilities

• Design conceptual and logical data models for enterprise clinical data domains
• Develop data architecture to support integration of multiple clinical data sources
• Identify common data elements across disparate healthcare systems
• Design and implement longitudinal data models for unified clinical reporting
• Coordinate data extraction and ingestion from source systems
• Develop and maintain data cleansing, transformation, and processing routines
• Ensure data quality, integrity, and consistency across integrated datasets
• Collaborate with business, clinical, and technical teams to support data initiatives
• Document data models, workflows, and processing standards
• Support ongoing data management, reporting, and analytics initiatives

Required Skills (with Years)

• Data Architecture – 5+ years
• Data Processing, Transformation, and Integration – 5+ years
• Oracle Health (Cerner) – 3+ years
• Clinical Data Management and Data Modeling
• Data Cleansing and Data Quality Management
• ETL/Data Integration Processes
• Data Mapping and Data Governance

Preferred Skills

• Python – 5+ years
• Google BigQuery – 2+ years
• Google Cloud Platform (Google Cloud Platform) Infrastructure – 2+ years
• Healthcare Data Integration
• Enterprise Data Warehousing
• SQL and Database Management

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