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Data Cleansing Jobs (NOW HIRING)

Jobtailor

Data Manager - Insurance

California, MO · On-site

$110 - $170/hr

Source-to-target mapping, data cleansing, enrichment, and transformation are core to your experience. * Hands-on experience with modern data platforms (ideally Snowflake) and CPM systems (ideally ...

New

TEKFORTUNE INC

Data Engineer Lead

Lisle, IL · On-site

$112K - $135K/yr

Perform data cleansing to ensure the accuracy and quality of data. Participate in governance for preventive measures due to duplication at source. • Create and maintain data mapping documents to ...

RIT Solutions, Inc.

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

The role involves developing ETL pipelines, implementing data cleansing processes, and collaborating with senior engineers to ensure data model alignment. Responsibilities : • Develop ETL pipelines ...

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 ...

USM

Urgent Need Database Analyst

Tallahassee, FL

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 ...

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$136K

How much do data cleansing jobs pay per year?

As of Aug 20, 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 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.
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Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% 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 • On-site

Full-time

Posted 22 days ago

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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