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Data Cleansing Jobs (NOW HIRING)

AWS Data Engineer

Atlanta, GA · On-site

$112K - $134K/yr

Perform data cleansing, data validation etc 3. Hands on ETL developer who is good at python, SQL. AWS services like glue, glue crawlers, lambda, red shift, athena, s3, EC2, IAM, Monitoring and ...

... cleansing, ETL toolsets (SSIS, Matillion etc) 2. Familiarity/experience with Data Governance principles. 3. Experience in efficient data model design. 4. Expert in SQL database management, SSIS ...

Data Conversion Analyst

Phoenix, AZ · On-site

$45 - $58/hr

This role is focused on understanding, analyzing, cleansing, mapping, validating, and reconciling data as it moves from legacy systems into modern platforms. The ideal candidate has hands-on ...

Snowflake) 7 Experience in data cleansing, ETL toolsets (SSIS, Matillion etc) 8 Expert in SQL database management, SSIS Package and SQL query development Additional Details - b. Follows project ...

Data Lead - Project Aurora

Saint Louis, MO · On-site

$50.25 - $68/hr

This position entails ownership of all cleansing tasks for relevant data objects, as well as responsibility for associated migration activities. Additionally, the Lead will manage a data team ...

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Data Cleansing information

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$34K

$82.6K

$136K

How much do data cleansing jobs pay per year?

As of Jul 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 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:
Infographic showing various Data Cleansing job openings in the United States as of July 2026, with employment types broken down into 6% Locum Tenens, 1% As Needed, 80% Full Time, 6% Part Time, 4% Contract, and 3% Summer. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

(Office/Administration - Data Entry Clerk Lv3)

Omni Inclusive

Wichita, KS • On-site

$24.20/hr

Other

Posted 7 days ago


Job description

Job Title

Job Description: MAX Bill Rate: $24.20/hr. Schedule: Monday through Friday 8:00 - 5:00 PM CST Must be able to work onsite 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 data between legacy system and new system. Will consist of comparing data in both systems and logging results. Run test case scripts in new system and log results in tracking application. Other duties as assigned. 2+ years experience in data entry and administration skills In person interviews will be conducted