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Remote Data Cleansing Jobs (NOW HIRING)

Role: Qlik Developer Exp: 9+ Years Location: Remote ( NYC, NY) C2C Accepting Accepting H1B ... hands-on Data Cleansing and using wide variety of data sources structured and unstructured ...

Medical Assistant - Remote

$18.25 - $23.25/hr

A strong proficiency in computer software navigation; data entry and data cleansing * A fundamental knowledge of Google Docs, Sheets, Slides or similar * A demonstrated ability to work effectively as ...

Sansar Tec, LLC Contract Details: Full time, permanent position This is a Remote-position for the ... Four (4) years experience in data migration, cleansing and conversion projects; * Three (3) years ...

Develop and implement data migration plans, including data cleansing, validation, and ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Lead data cleansing and harmonization initiatives, especially during ERP rollouts, system upgrades ...

Director Master Data Management

Irvine, CA · On-site +1

$143K - $228K/yr

Remote Position Summary: The Director - MDM COE is responsible for establishing and leading the ... Lead data cleansing and harmonization initiatives, especially during ERP rollouts, system upgrades ...

Python Developer (AWS cloud)

Atlanta, GA · On-site +1

$48.25 - $66.50/hr

... remote. This is basically an Application Development Profile with real time data processing ... data cleansing/categorization. Analyze issues and generate recommendations for application ...

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Remote Data Cleansing information

See salary details

$55K

$99.2K

$135.5K

How much do remote data cleansing jobs pay per year?

As of Jul 11, 2026, the average yearly pay for remote data cleansing in the United States is $99,231.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,000.00 and $108,500.00 per year, depending on experience, location, and employer.

What is remote data cleansing?

Remote data cleansing is the process of identifying and correcting errors or inconsistencies in data sets while working from a location outside of a traditional office environment. This task involves removing duplicate records, fixing formatting issues, and ensuring data accuracy so that businesses can make reliable decisions based on their information. Remote data cleansing professionals use specialized tools and software to access, review, and modify large volumes of data securely. The remote aspect allows for greater flexibility and access to global talent, making it a popular choice for companies with large or complex data needs.

What are some common challenges faced by remote data cleansing professionals, and how can they be addressed?

Remote data cleansing professionals often encounter challenges such as inconsistent data formats, incomplete information, and communication barriers with team members due to working remotely. To address these issues, it's important to establish clear data quality standards and use specialized cleansing tools to automate repetitive tasks. Regular check-ins with the team and detailed documentation help ensure consistency and facilitate collaboration. Staying organized and maintaining open communication channels can also significantly improve workflow and data accuracy.

What are the key skills and qualifications needed to thrive as a Remote Data Cleansing Specialist, and why are they important?

To thrive as a Remote Data Cleansing Specialist, you need strong analytical skills, attention to detail, and familiarity with data management principles, typically supported by a background in information technology or data science. Proficiency with data cleansing tools like OpenRefine, Microsoft Excel, SQL databases, and sometimes CRM or ERP systems is commonly required. Excellent organizational skills, problem-solving abilities, and effective communication are critical soft skills for this role. These competencies ensure accurate, consistent, and reliable data, which is essential for effective business decision-making and operational efficiency.

What is the difference between Remote Data Cleansing vs Remote Data Entry?

AspectRemote Data CleansingRemote Data Entry
Primary FocusCleaning, validating, and improving data qualityInputting and updating data into systems
Skills RequiredData analysis, attention to detail, familiarity with data toolsTyping speed, accuracy, basic computer skills
Work EnvironmentData management platforms, spreadsheetsDatabases, spreadsheets, data entry software
Common EmployersData services companies, corporationsAdministrative, retail, healthcare sectors

Remote Data Cleansing involves refining and validating data to ensure accuracy, while Remote Data Entry focuses on inputting and updating data into systems. Both roles require attention to detail but differ in skills and tasks, with data cleansing emphasizing data quality and data entry emphasizing data input.

More about Remote Data Cleansing jobs
What cities are hiring for Remote Data Cleansing jobs? Cities with the most Remote 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 Remote Data Cleansing jobs? States with the most job openings for Remote Data Cleansing jobs include:
Infographic showing various Remote Data Cleansing job openings in the United States as of July 2026, with employment types broken down into 25% Internship, and 75% Contract. Highlights an 100% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Full-time

Re-posted 28 days ago


Job description

PLM Teamcenter Project Manager
PLM-Teamcenter Application
100% Remote ( should work from USA only )
10+ Yrs
To provide professional services to facilitate the reorganisation of data from Teamcenter instances hosted in the US .
The Teamcenter instances consist of both non-Production and Production environments and completion of the project will require reorganisation of data at all instances.
Technical resources working directly with the data will need to be ITAR / UKML cleared and have the required skillset, but not limited to, in supporting all activities related to the Siemens site consolidation toolset.
Activities will encompass:
• Data identification.
• Data cleansing.
• Data model assessment.
• Teamcenter volume management.
• Perform ETL cycles and environment rollback.
• Generate reports, queries to validate data reorganisation.