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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 ...

... 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 ...

AWS Data Engineer

Atlanta, GA · On-site

$112.30K - $134.90K/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 ...

Apply business rules where none previously existed Data Cleansing & Transformation * Experience creating and running data scripts for cleanup * Example: large-scale data cleanup efforts requiring ...

New

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 ...

Bachelor's Degree in Computer Science, Data Analytics, Engineering, or related field, with 1-2+ years of post-graduation experience. * 2+ years of SQL Server experience, including data cleansing ...

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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 May 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 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.

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 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 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 May 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $82,640 per year, or $39.7 per hour.

Entry Level Data Analyst job

GainAm

Hicksville, NY • On-site

$70K/yr

Full-time

Posted 7 days ago


Job description

Required Skills
A high level of mathematical ability Programming languages, such as SQL, Oracle and/or Python The ability to analyze, model and interpret data Problem-solving skills Capable of Deep Work, Problem Solver, Reliable, consistent, Attention to detail
Required Experience
Ability to learn and utlize Exploratory Data Analysis and Data 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 extract the data needed
Removing corrupted data and Performing initial analysis to assess the quality of the data
Performing further analysis to determine the meaning of the data
Performing final analysis to provide additional data screening
Preparing reports based on analysis and presenting to management