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Data Cleaner Jobs (NOW HIRING)

Molina Healthcare

Data Scientist

Long Beach, CA · On-site

Job Summary Perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy. Execute data science and statistical analytical experiments methodically to ...

Sarian, Inc.

Sr. Data Scientist

Irving, TX · On-site

SQL, data cleaning, feature engineering * Hyperscale's: AWS, Azure, or GCP experience a plus * On prem and cloud development projects with CI/CD Experience * Design, develop, and implement advanced ...

BAE Systems

Data Scientist Sr

Reston, VA · On-site

$97K - $164K/yr

Produce data cleaning, basic analysis, and preparation for visualization * Develop dashboards and perform routine data quality checks * Perform data preprocessing, data integration, quality checks ...

Glow Networks

Data Engineer

Mountain View, CA · On-site

$135K - $162K/yr

Write clean, efficient, and well-documented code to retrieve, transform, and load large volumes of data. * Leverage advanced tools like Databricks for big data processing, ensuring the data is ...

Megan soft Inc

Data Scientist(W2 Position)

Dearborn, MI · On-site

Experience using SQL for acquiring and transforming real-world data, data cleaning, data collection or other data wrangling challenges Thanks & Regards Praveen Megan Soft, Inc. Direct No: +1(248) 266 ...

Lendistry

Sr. Data Scientist

Dallas, TX · On-site

Clean, transform, and prepare large, complex datasets for modeling and analysis. * Work with diverse data sources including business credit bureau data, bank transaction data, financial statements ...

ConnectiveRx

Data Manager

Whippany, NJ

Program Data Cleaning and Validation : Identifying and resolving program data discrepancies, errors, and inconsistencies to ensure data integrity. * Data Management: Overseeing the flow of data from ...

New

Goldbelt, Inc.

Data Analyst II

$85K - $105K/yr

Sort, clean, and analyze birth defects and Neonatal Abstinence Syndrome (NAS) data collected from DBDID population-based birth defects surveillance systems * Prepare and maintain Human Subjects, IRB ...

New

Goldbelt, Inc.

Data Analyst II

$85K - $105K/yr

Sort, clean, and analyze birth defects and Neonatal Abstinence Syndrome (NAS) data collected from DBDID population-based birth defects surveillance systems * Prepare and maintain Human Subjects, IRB ...

New

ConnectiveRx

Data Manager

Whippany, NJ · On-site +1

$80K - $125K/yr

Program Data Cleaning and Validation : Identifying and resolving program data discrepancies, errors, and inconsistencies to ensure data integrity. * Data Management: Overseeing the flow of data from ...

New

Goldbelt Professional Services

Data Analyst II

$85K - $105K/yr

Sort, clean, and analyze birth defects and Neonatal Abstinence Syndrome (NAS) data collected from DBDID population-based birth defects surveillance systems * Prepare and maintain Human Subjects, IRB ...

New

ConnectiveRx

Data Manager

Whippany, NJ

Program Data Cleaning and Validation : Identifying and resolving program data discrepancies, errors, and inconsistencies to ensure data integrity. * Data Management: Overseeing the flow of data from ...

New

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How much do data cleaner jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for data cleaner in the United States is $24.01, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $25.00 per hour, depending on experience, location, and employer.

What are Data Cleaners?

Data Cleaners are professionals who specialize in identifying and correcting errors, inconsistencies, and inaccuracies in datasets to ensure the information is accurate, complete, and ready for analysis. Their work involves tasks such as removing duplicate records, filling in missing values, standardizing formats, and validating data against predefined rules. Data Cleaners play a crucial role in maintaining data quality, which is essential for reliable data analysis and decision-making in organizations.

What are some typical challenges faced by Data Cleaners when working with large datasets, and how can they be addressed?

Data Cleaners often encounter challenges such as inconsistent data formats, missing values, and duplicate records, especially when handling large datasets from multiple sources. Addressing these issues requires a solid understanding of data validation techniques and the use of specialized tools or programming languages like Python or SQL. Collaboration with data analysts or database administrators is also essential to clarify data requirements and resolve complex discrepancies, ensuring the cleaned data meets the organization's standards for analysis and reporting.

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

To excel as a Data Cleaner, you need a solid understanding of data management principles, attention to detail, and proficiency in data analysis, often supported by a degree in a quantitative field. Familiarity with data cleaning tools such as Microsoft Excel, Python (Pandas), SQL, and sometimes specialized ETL software is typically required. Strong problem-solving skills, patience, and the ability to communicate data issues clearly set outstanding Data Cleaners apart. These skills ensure that data is accurate, consistent, and reliable, which is crucial for effective analysis and business decision-making.

What is the difference between Data Cleaner vs Data Analyst?

AspectData CleanerData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data science, statistics, or related field
Work EnvironmentData processing centers, offices, remoteOffices, remote, or client sites
Industry UsageData management, IT, business servicesBusiness intelligence, finance, marketing, healthcare
Common Search/ComparisonOften compared for entry-level data rolesMore analytical, interpretative roles

Data Cleaners focus on preparing raw data by removing errors and inconsistencies, ensuring data quality. Data Analysts interpret cleaned data to generate insights and support decision-making. While both roles work with data, Data Cleaners handle data preparation, whereas Data Analysts analyze data to provide strategic recommendations.

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What states have the most Data Cleaner jobs? States with the most job openings for Data Cleaner jobs include:
What job categories do people searching Data Cleaner jobs look for? The top searched job categories for Data Cleaner jobs are:
Data Cleaner jobs near you

Data Quality Analyst

Futran Tech Solutions Pvt. Ltd.

Remote

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Job description

Position: Data Quality Analyst
Location: Remote
This is remote role however we are looking for candidates based in central or mountain zone because that's what the timings they must work in.
Try to look for candidates from healthcare background.
What is in it for you?
Looking for a seasonal Data Quality Analyst who will ensure data accuracy, consistency, and reliability by performing data profiling, cleaning, validation, integration, and continuous monitoring while
collaborating with stakeholders to resolve data quality issues.
Roles and Responsibilities
• Data Profiling: Profiling is the process of looking at the structure, patterns, and content of data to find problems like missing information or mistakes. It helps analysts spot hidden issues that could affect the quality of the data.
• Data Cleaning: Cleaning involves correcting or excluding inaccurate, incomplete, or irrelevant data to maintain an error-free dataset for further analysis.
• Data Validation: is carried out to ensure that the data meets predefined standards and business rules. This process confirms that data is accurate, with all required fields populated, correct data types, and values within acceptable ranges.
• Data Integration: Integration is the merging of data from different sources into a unified view. A data quality analyst makes sure that data is consistent and compatible and resolves discrepancies that arise during the integration process.
• Data Monitoring: involves continuously tracking and data to confirm its accuracy, consistency, and reliability over time. A data quality analyst keeps an eye on the data at regular intervals to ensure its accuracy and consistency so that any new problems can be rapidly identified.
Educational Qualifications:
Engineering Degree - BE/ME/BTech/MTech/BSc/MSc.
Technical certification in multiple technologies is desirable.
Mandatory skills
• Requirement gathering, Requirement writing, good communication skills, SQL (Structured Query Language), ETL (extract, transform, and load) tool knowledge for data migration.
• Create and update requirements artifacts such as Solution Requirements Specifications, use cases, and other artifacts as needed for incorporating in google platform. Responsible for ensuring each artifact complies with quality standards set out by the Requirements Team leadership, and for conducting and facilitating requirements review sessions to ensure understanding across business and IT groups.
• Recommend Data quality rules, create data profiles, perform data cleaning and validation, data integration.
• Responsible for maintaining those requirements through the life of the project and raising awareness with mitigating strategies when issues arise that may impact budget or timelines.
• Validate and get all the requirements reviewed by client teams
• Act as a liaison between the delivery teams that are engaged in implementing the solution and the business partners that will be using the solution, as well as interact daily with development engineers and QA analysts.
• Desired Skills: Healthcare domain, Python, R
• Candidate should be fine to work in Central or Mountain times.

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