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Data Cleansing Jobs in Virginia (NOW HIRING)

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards. * Experience with architecture repositories such as Ins-Pi or YouDesign. * Familiarity with data ...

Support data analytics, data cleansing, analyst workflow efficiencies, and transformation supporting Extract, Transform, and Load (ETL) capabilities * Manage the generation, approval, and population ...

Data Architect

Springfield, VA · On-site

$125K - $145K/yr

Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards. * Experience with architecture repositories such as Ins-Pi or YouDesign. * Familiarity with data ...

Data Quality Analyst

Arlington, VA · On-site

$85 - $184/hr

... cleansing and enrichment procedures, and create reports on data quality status for stakeholders. This person will participate in data governance activities related to quality, provide guidance on ...

New

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Implement basic data quality checks, validation routines, and data cleansing processes. * Support the integration of structured and semi-structured data sources relevant to capability development and ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

ETL Data Engineer

Reston, VA · On-site

$121K - $145K/yr

Developing, maintaining, and executing data extraction pipelines to transport data in and out of multiple environments. * ETL Development and Data Cleansing: Engineering Python-based ETL pipelines to ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Perform complex operations to prepare data for analysis and application development (e.g., data cleansing, data integration, data transformation). * Participate in Agile ceremonies to gather analytic ...

Showing results 41-60

Data Cleansing information

See Virginia salary details

$33.7K

$81.9K

$134.8K

How much do data cleansing jobs pay per year?

As of Sep 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 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 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 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.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

What are the most commonly searched types of Data Cleansing jobs in Virginia?

The most popular types of 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, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $81,931 per year, or $39.4 per hour.

Data Architect

Diaconia LLC

Springfield, VA • On-site

$125K - $145K/yr

Full-time

Re-posted 6 days ago


Job description

Description

Diaconia is seeking an Information/Data Architect to support a client modernization program. This position supports enterprise information and data architecture initiatives by developing and maintaining data models, metadata, taxonomies, data standards, and data exchange documentation that improve data quality, interoperability, and governance across mission systems.

The ideal candidate has experience with data architecture, data management, and integration activities and enjoys collaborating with both technical and business stakeholders to support enterprise modernization efforts.


Key Responsibilities
  • Develop and maintain conceptual and logical data models supporting enterprise information architecture. 
  • Create and maintain data dictionaries, metadata schemas, taxonomies, data asset catalogs, and data mappings. 
  • Develop and maintain Interface Exchange Package Documentation (IEPDs) and other data exchange artifacts. 
  • Document ETL processes, data feeds, API interfaces, XML-based exchanges, and integration requirements. 
  • Analyze data quality issues and recommend improvements to data consistency, accuracy, and usability. 
  • Support enterprise data governance initiatives by maintaining metadata, business definitions, and data standards. 
  • Collaborate with architects, engineers, developers, analysts, and business stakeholders to gather, validate, and document data requirements. 
  • Support repository management and enterprise information architecture documentation. 
  • Assist with data integration, analytics enablement, and enterprise reporting initiatives. 
  • Prepare data management recommendations and support architecture modernization activities. 
  • Ensure all information architecture products align with TSA standards, enterprise architecture guidance, and data governance policies.


 Disclaimer "The responsibilities and duties outlined in this job description are intended to describe the general nature and level of work performed by employees within this role. However, they are not exhaustive and may be subject to change or modification at any time to meet the evolving needs of the organization.  

Requirements

Minimum Qualifications
  • Bachelor's degree in Data Management, Computer Science, Information Systems, Analytics, Engineering, or a related field. 
  • Minimum three (3) years of professional experience in data architecture, data modeling, database administration, data management, data governance, ETL, metadata management, or related data management disciplines. 
  • Experience developing or supporting conceptual and logical data models. 
  • Experience creating or maintaining data dictionaries, metadata schemas, taxonomies, or data mappings. 
  • Experience documenting data exchanges, interfaces, or ETL processes. 
  • Strong understanding of relational databases and enterprise data management principles. 
  • Experience working collaboratively with technical and business stakeholders. 
  • Strong written and verbal communication skills. 
  • Ability to obtain and maintain a DHS Public Trust clearance.


Preferred Qualifications
  • Experience supporting Federal Government, DHS, or TSA information architecture initiatives. 
  • Knowledge of the Federal Data Strategy and enterprise data governance principles. 
  • Experience with metadata management, taxonomy development, and enterprise data catalogs. 
  • Experience using SQL Server, SharePoint, Microsoft Access, Microsoft Power Platform, or similar technologies. 
  • Experience with ETL processes, data cleansing, API integrations, XML, and data exchange standards. 
  • Experience with architecture repositories such as Ins-Pi or YouDesign. 
  • Familiarity with data mesh concepts and enterprise information architecture frameworks.


Preferred Certifications

One or more of the following certifications is preferred:

  • Certified Data Management Professional (CDMP) 
  • DAMA training or certification 
  • Database or SQL certification 
  • Cloud Data certification 
  • CompTIA Security+ 
  • Agile/Scrum certification 
  • Other relevant data governance or data modeling certifications