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Data Cleansing Jobs in Virginia (NOW HIRING)

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 ...

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 ...

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

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 ...

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 6, 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 job categories do people searching Data Cleansing jobs in Virginia look for? The top searched job categories for Data Cleansing jobs in Virginia are:
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.

Data Warehouse Architect

DataSync Inc.

Richmond, VA • On-site

Other

This job post has expired today. Applications are no longer accepted.


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