1

Data Cleansing Jobs (NOW HIRING)

Data Entry Clerk Lv3

Wichita, KS · On-site

$16.75 - $22.50/hr

Job Title Primary activity is data cleansing and data creation in Excel templates. Must have strong attention to detail and comfortable working with moderate to large volumes of data. Validation of ...

Monitor the progress of data cleansing activities, using SAP Information Steward to track dataquality metrics, identify gaps, and ensure cleansing aligns with project timelines. Use SAP HANA for ...

Data Cleansing: Develop and implement effective data cleansing strategies and procedures to improve data accuracy and integrity. * Process Optimization: Collaborate with customers to optimize their ...

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 ...

... 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 ...

AWS Data Architect

Torrance, CA · Hybrid

$65.50 - $84.25/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 ...

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 ...

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 ...

Data Conversion Analyst

Chicago, IL · On-site +1

$111K - $185K/yr

Implement data cleansing processes to prepare data for migration, ensuring accuracy and consistency. * Execute data migration processes, monitoring for errors or discrepancies and addressing issues ...

next page

Showing results 1-20

Data Cleansing information

See salary details

$34K

$82.6K

$136K

How much do data cleansing jobs pay per year?

As of Jun 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 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 identifying and correcting or removing inaccurate, incomplete, or inconsistent data within datasets. This process improves data quality and reliability, often using tools like Excel, SQL, or specialized data cleaning software, and requires attention to detail and understanding of data standards.

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 analysis, attention to detail, and familiarity with tools like Excel or specialized data cleaning software. The goal is to improve data quality for better decision-making and analysis.
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:
Infographic showing various Data Cleansing job openings in the United States as of June 2026, with employment types broken down into 57% As Needed, 14% Full Time, and 29% Temporary. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Data Steward, Customer Domain

The Rockridge Group

New York, NY • Remote

Full-time

Posted 23 days ago


Job description

TITLE: Title: Data Steward, Customer Domain
POSITION SUMMARY:
The Client X Data Steward, Customer Domain will support the establishment of Client X’s Data Governance policies, data procedures, and data definitions for the Customer data domain. With a main goal of improving Client X’s Customer data quality, the Data Steward will:
  • Contribute to the establishment of data definitions for the Customer domain;
  • Develop and document Customer data processes, business rules, and workflows;
  • Participate in the Customer data cleansing process;
  • Ensure adherence to Customer data processes, business rules and workflows; and,
  • Build guidelines for the Customer data lifecycle, from initiation to activation.
ESSENTIAL FUNCTIONS:
  • Working closely with the Sales Strategy, Analytics, and Operations team, serve as a subject matter expert in the establishment of Client X’s Customer data policies, procedures, and data definitions.
  • Drive process improvement for all data quality core processes, enabling execution with simplicity, speed, quality and efficiency.
  • Maintain business dictionary and data quality at the application/database level.
  • Ensure compliance to data governance policies, using analytics and tools to identify areas of data non-compliance.
  • Serve as a liaison between business and functional Customer domains to ensure that data related business requirements are clearly defined, communicated, understood, and followed.
  • Provide guidance on data management best practices and where appropriate, escalate to the Data Owner.
  • Use strong data and analytic skills to identify gaps between Client X’s current Customer data and the future data structure.
  • Develop a detailed data cleansing framework and plan for migrating historic data into the future data structure.
  • Oversee a team of resources to facilitate the cleansing of Client X’s historic Customer data into the new data structure.
  • Collaborate with customer domain stakeholders to rationalize data needs and define authoritative sources of data.
  • Recommend changes to data governance policies and procedures when and where necessary to improve data governance quality.
  • Influence decisions with technical partners, internal teams, senior management, and external partners.
  • Develop high-performing team members and enhance department effectiveness through coaching and mentoring, in addition to building partner relationships internally and externally.
  • Develop an understanding and knowledge of key business functions related to specific data subject areas.
  • Understand the flow of customer data between systems.
  • Work with the larger analytics team to ensure data is accurate and consumable for end users.
REPORTING:
This position reports to Client X’s Customer Data Owner, a Director in Sales Strategy, Analytics & Operations.
MINIMUM QUALIFICATIONS:
  • Bachelor’s degree required
  • Experience with Tibco EBX Application (or similar) a plus
  • 5-7 years of experience in establishing and maintaining data governance policies, procedures, and definitions
  • Proven ability to work independently to lead cross-functional projects to successful completion
  • Demonstrated ability to work remotely from direct manager and drive exceptional results
  • Ability to multitask, prioritize and meet deadlines
  • Strong business acumen, and excellent communication skills