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Data Cleansing Jobs (NOW HIRING)

3B Staffing LLC

SQL Data Cleanup Specialist

Richmond, VA

... 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 at the ...

New

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 ...

MSR Cosmos

AWS Data Architect

Gardena, CA · On-site

$65.25 - $84/hr

Implement data cleansing and normalization techniques to ensure data quality * Manage data ingestion schedules and error handling mechanisms Required Skills and Experience * AWS Expertise Deep ...

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 ...

USM

Urgent Need Database Analyst

Tallahassee, FL · On-site

Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis, Data Quality and Data Cleansing ...

USM

Database Analyst

Tallahassee, FL · On-site

Tallahassee FL Duration: Long Term Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis ...

Vergence

Data Warehouse Architect

Indianapolis, IN · On-site

$83.21/hr

Develop data mappings, data flows and data cleansing procedures. * Provide education and guidance to other data group members in effective data asset development. * In general, act as a lead in ...

Nastech Global

Data Integration Developer

New York, NY · On-site

Design and Development of data integration workflows, macros, data validation, data transformations, macros, data cleansing, using Alteryx Designer. * Alteryx Expert certification (must have or ...

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 ...

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How much do data cleansing jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data cleansing in the United States is $82,640.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,500.00 and $97,000.00 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.
More about Data Cleansing jobs
What cities are hiring for Data Cleansing jobs? Cities with the most Data Cleansing job openings:
What are the most commonly searched types of Data Cleansing jobs? The most popular types of Data Cleansing jobs are:
What states have the most Data Cleansing jobs? States with the most job openings for Data Cleansing jobs include:
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Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in the United States as of July 2026, with employment types broken down into 7% Locum Tenens, 80% Full Time, 6% Part Time, 1% Temporary, 4% Contract, and 2% Summer. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Lead, Project Engineering (Data Cleansing Lead)

L3HHCM20

Palm Bay, FL

Other

Posted 2 days ago

New

Job description

Job Title: Lead, Project Engineering (Data Cleansing Lead)

Job Code: 40078

Job Location: Palm Bay, FL

Job Schedule: 9/80

 

Job Description:  

The Data Cleansing Lead acts as the critical gatekeeper of data integrity for the enterprise PLM implementation, ensuring that legacy engineering data is systematically audited, scrubbed, and standardized prior to migration. Recognizing that system automation and user trust depend entirely on data quality, this role establishes the overarching cleansing strategy, data-profiling rules, and governance metrics required to remediate millions of complex records, including CAD files, Bills of Materials (BOMs), part taxonomies and documents. By mobilizing and coordinating cross-functional teams of engineers, data analysts, and business analysts, the Lead drives the collaborative effort to eliminate duplicates, enrich incomplete metadata, and purge obsolete files. Ultimately, this position converts historical "dirty data" into a pristine digital thread, mitigating the risk of post-Go-Live system failures and ensuring a stable, high-performing PLM environment from day one

Essential Functions: 

  • Establish the overall data cleansing strategy, scope, and compliance standards for legacy data migration into the new PLM environment.
  • Define and enforce data profiling rules, quality standards, naming conventions, part attribution criteria, and engineering classification structures to improve consistency and readiness.
  • Lead data profiling and cleansing activities to identify and remediate structural anomalies, missing metadata, orphaned files, duplicate part numbers, obsolete records, and incomplete documentation.
  • Partner with Engineering, R&D, Procurement, Quality, PLM Solution Architects, Data Migration Engineers, and policy stakeholders to align cleansing rules with target system design and governance requirements.
  • Coordinate cross-functional remediation efforts, assign ownership for data issues, and manage analyst and support resources to ensure cleansing work is executed effectively and on schedule.
  • Oversee mock data migrations and provide dashboards, health reports, metrics, and KPI tracking to measure readiness, monitor progress, and support project leadership decision-making.
  • Assist with mapping of data model including object types, attributes and folder hierarchy to the target system

Qualifications:

  • Bachelor's Degree (preferably in Data Science, Computer Science, Information Technology, Engineering, or a highly analytical/quantitative field) and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
  • Minimum of 5 years of data management, data quality, or data governance experience
  • Experience leading data cleansing/migration workstreams for large-scale enterprise system rollouts (PLM, ERP, or MDM required). 
  • Experience developing, improving, or governing technical processes within a regulated engineering environment.

Preferred Additional Skills:

  • Familiarity with engineering and manufacturing data structures, including CAD files, Product Structure trees, Bills of Materials (e.g., EBOM, MBOM), and Engineering Change Notices (ECNs).
  • Experience developing training content, guidance material, or playbooks that support organizational capability growth
  • Experience with data analysis, data profiling, and ETL tools (e.g., SQL, Excel advanced macros, Alteryx, Informatica, or vendor-specific data migration utilities)



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