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Data Cleansing Jobs (NOW HIRING)

... Cleansing Ability to Write SQL Scripts for Data Warehousing Understanding and knowledge of Ad Hoc Business Analysis Day to day work involves proficiency in using advanced computerized models to ...

Practical experience using Regex for advanced text processing, data cleansing, and pattern matching. * Familiarity with specialized libraries and frameworks. * Excellent communication skills. Desired ...

AWS Data Architect

Torrance, CA · On-site

$66.50 - $85.50/hr

Implement data cleansing and normalization techniques to ensure data quality. * Manage data ingestion schedules and error handling mechanisms. * Data Governance and Access Control: * Establish data ...

This person will be responsible for managing data cleansing, de-duplication, and harmonization of data. Must have strong skills writing advanced SQL, functions, and procedures and will have expertise ...

Data Modeler

Tallahassee, FL · On-site

$52 - $67.50/hr

... cleansing of data sets as needed. • Develop and implement data quality control procedures to ensure the accuracy, completeness, and consistency of environmental data. • Define data quality ...

Good experience in working with the client in Data Quality, Profiling and Cleansing, Data harmonization * Good experience in developing reate data migration strategy and approach for S/4 HANA ...

NY · On-site

Coordinate data cleansing and enrichment activities with business data owners. * Support customer and vendor harmonisation into the SAP Business Partner model. * Prepare mapping documents ...

Showing results 41-60

Data Cleansing information

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$34K

$82.6K

$136K

How much do data cleansing jobs pay per year?

As of Sep 11, 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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Infographic showing various Data Cleansing job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 84% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Migration Lead Consultant (SAP S/4HANA | MDG)

Parsippany Troy Hills, NJ • On-site

Other

Posted 6 days ago


Job description

  • Job Title: Data Migration Lead Consultant (SAP S/4HANA | MDG)
    Location: Parsippany, NJ
    Long Term
    Overview
    We are seeking a Data Migration Lead Consultant with strong SAP S/4HANA data migration expertise and good SAP MDG process knowledge. This role will lead end-to-end data migration activities, including assessment, mapping, transformation, loading, reconciliation, and cutover execution, partnering closely with cross-functional teams to ensure high-quality, compliant data outcomes.
    Key Responsibilities
    • Experienced in end-to-end SAP S/4HANA data migration lifecycle (plan, assess, extract, transform, load, validate, and reconcile).
    • Drive data mapping and transformation (ETL) activities, with a focus on SAP BODS.
    • Execute and support data loads using tools such as LSMW, LTMC (and related methods), including technical troubleshooting of load issues.
    • Understanding in data assessment and profiling to evaluate readiness, completeness, and quality.
    • Identify data cleansing and enrichment opportunities in collaboration with business and functional teams.
    • Support defect management and resolution, ensuring timely triage, root-cause analysis, and closure.
    • Work effectively with cross-functional stakeholders (business, functional, technical, security/compliance) to meet project deliverables.
    • Plan and execute cutover activities, including mock loads, checkpoints, and data reconciliation before/after go-live.
    • Provide guidance on and alignment with SAP MDG processes, ensuring governance standards are considered during migration.
    Required Skills & Experience
    • Strong hands-on experience with SAP S/4HANA data migration processes.
    • Proven experience in data mapping and ETL transformation, especially using SAP BODS.
    • Experience with data loading tools/processes such as LSMW, LTMC, including technical issue resolution.
    • Good understanding of SAP programs and tables, with the ability to debug when required.
    • Strong knowledge of data assessment and profiling techniques.
    • Ability to identify and drive data cleansing and enrichment initiatives.
    • Solid understanding of defect resolution processes in project delivery.
    • Experience working with cross-functional teams and supporting compliance requirements.
    • Experience executing cutover plans and performing data reconciliation.
    • Good understanding of SAP MDG processes.