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Remote Data Cleansing Jobs (NOW HIRING)

Cayuse Holdings, LLC

$28 - $30/hr

Remote Type: Corp to Corp Start Date: ASAP Pay Rate: $28-$30 per hour Contract Length: 12 months ... Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and ...

TriOptus LLC

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 ...

System One

Technical Data Steward - remote

Vienna, VA · Remote

$64 - $80/hr

This is a long term, remote contracting position for candidates who live in the United States. We ... data cleansing and remediation initiatives 5. Security & Risk Management · Partner with ...

Belden

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Data Technical Specialist - Remote Apply now Date: May 23, 2026 Location: Richmond, IN, US, 47374 ... Develop and implement data migration plans, including data cleansing, validation, and ...

Ventura Foods

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 ...

Ventura Foods

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 ...

ITTConnect

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 ...

CVS Health

Supervisor, Data Management (Remote-AZ)

... cleansing routines. • Occasionally be required to perform ad-hoc data analysis/mass updates to ensure all data aligns with established data governance guidelines. • Act as a mentor and will be ...

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All JobsRemote Data Cleansing Jobs

Remote Data Cleansing information

See salary details

$55K

$99.2K

$135.5K

How much do remote data cleansing jobs pay per year?

As of Jun 20, 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.

How to make 2000 a week working from home?

Remote data cleansing roles can pay between $15 and $25 per hour, so earning $2000 weekly requires working approximately 80 hours at the higher end of this rate. Increasing income may involve gaining advanced skills, certifications, or taking on multiple projects, but consistently earning that amount from a single role is uncommon without substantial experience or specialized tools. Most remote data cleansing jobs are part-time or project-based, making high weekly earnings challenging without additional income sources.

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.

How to identify fake data entry jobs?

To identify fake data entry jobs, verify the company's legitimacy through official websites and reviews, and be cautious of jobs that require upfront payments or promise unusually high pay for minimal work. Legitimate roles typically do not ask for sensitive personal information early in the application process and provide clear job descriptions and contact details. Using reputable job boards and avoiding offers that seem too good to be true can help prevent scams.

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.

How to make $1000 a week remote?

Remote data cleansing roles typically pay between $10 and $25 per hour, so earning $1000 weekly requires working approximately 40 to 50 hours. Developing strong attention to detail, proficiency with data management tools, and consistent scheduling can help maximize earnings in this field.

Do remote data entry jobs really exist?

Remote data cleansing jobs are real positions that involve reviewing and correcting digital data for accuracy and consistency. These roles often require attention to detail, basic computer skills, and familiarity with data management tools, and they are commonly available through online job platforms. Many companies hire remote data entry professionals for such tasks, making these jobs accessible to a wide range of applicants.
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:
What job categories do people searching Remote Data Cleansing jobs look for? The top searched job categories for Remote Data Cleansing jobs are:
Remote Data Cleansing jobs near you
Infographic showing various Remote Data Cleansing job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 97% Full Time, and 1% Nights. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $99,231 per year, or $47.7 per hour.

Data Scientist/Engineer

Cayuse Holdings, LLC

Remote

$28 - $30/hr

Other

Posted 6 days ago

Job description

Overview
Job Title: Data Scientist/Engineer
Location: Remote
Type: Corp to Corp
Start Date: ASAP
Pay Rate: $28-$30 per hour
Contract Length: 12 months - potential conversion to FTE
**This position is posted for future opportunities. Please submit your application to be considered for similar upcoming roles**
We are seeking a highly skilled and motivated Data Scientist/Engineer to join our dynamic and innovative team. The ideal candidate will have hands-on experience designing, building, and maintaining scalable data processing pipelines, implementing machine learning solutions, and ensuring data quality across the organization. This role requires a strong technical foundation in Azure cloud platforms, data engineering, and applied data science to support critical business decisions and technological advancements.
Responsibilities
Data Engineering
  • Build and Maintain Data Pipelines: Develop and manage scalable data pipelines using Azure Data Factory, Azure Synapse Analytics, or Azure Databricks to process large volumes of data.
  • Data Quality and Transformation: Ensure the transformation, cleansing, and ingestion of data from a wide range of structured and unstructured sources with appropriate error handling.
  • Optimize Data Storage: Utilize and optimize data storage solutions, such as Azure Data Lake and Blob Storage, to ensure cost-effective and efficient data storage practices.
Machine Learning Support
  • Collaboration with ML Engineers and Architects: Work with Machine Learning Engineers and Solution Architects to seamlessly deploy machine learning models into production environments.
  • Automated Retraining Pipelines: Build automated systems to monitor model performance, detect model drift, and trigger retraining processes as needed.
  • Experiment Reproducibility: Ensure reproducibility of ML experiments by maintaining proper version control for models, data, and code.
Data Analysis and Preprocessing
  • Data Ingestion and Exploration: Ingest, explore, and preprocess both structured and unstructured data with tools such as:
    • Azure Data Lake Storage
    • Azure Synapse Analytics
    • Azure Data Factory
  • Exploratory Data Analysis (EDA): Perform exploratory data analysis using notebooks like Azure Machine Learning Notebooks or Azure Databricks to derive actionable insights.
  • Data Quality Assessments: Identify data anomalies, evaluate data quality, and recommend appropriate data cleansing or remediation strategies.
General Responsibilities
    • Pipeline Monitoring and Optimization: Continuously monitor the performance of data pipelines and workloads, identifying opportunities for optimization and improvement.
    • Collaboration and Communication: Communicate findings and technical requirements effectively with cross-functional teams, including data scientists, software engineers, and business stakeholders.
    • Documentation: Document all data workflows, experiments, and model implementations to facilitate knowledge sharing and maintain continuity of operations.

Qualifications
  • Proven experience in building and managing data pipelines using Azure Data Factory, Azure Synapse Analytics, or Databricks.
  • Strong knowledge of Azure storage solutions, including Azure Data Lake and Blob Storage.
  • Familiarity with data transformation, ingestion techniques, and data quality methodologies.
  • Proficiency in programming languages such as Python or Scala for data processing and ML integration.
  • Experience in exploratory data analysis and working with notebooks like Jupyter, Azure Machine Learning Notebooks, or Azure Databricks.
  • Solid understanding of machine learning lifecycle management and model deployment in production environments.
  • Strong problem-solving skills with experience detecting and addressing data anomalies.

Other Duties: Please note this job description is not designed to cover or contain a comprehensive list of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities, and activities may change at any time with or without notice.
Cayuse is an Equal Opportunity Employer. All employment decisions are based on merit, qualifications, skills, and abilities. All qualified applicants will receive consideration for employment in accordance with any applicable federal, state, or local l aw.
Pay Range
USD $28.00 - USD $30.00 /Hr.

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