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Data Cleaner Jobs in Florida (NOW HIRING)

Palm Beach , FL (Day One Onsite to Client Location) Experence : 8 + Years Hhands-on experience in data cleaning, transformation, and analysis using Python. The ideal candidate is comfortable working ...

... cleaning, and governance procedures, maintaining comprehensive documentation to ensure transparency, repeatability, and compliance with data governance standards โ€ข Clean and organize raw data and ...

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

Collect, clean, transform, and analyze structured and unstructured datasets. * Develop statistical and machine learning models to solve business problems. * Perform exploratory data analysis and ...

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

Collects, cleans, and organizes clinical data from multiple sources, including clinical trials, patient records, and healthcare databases. * Maintains data collection systems and ensures compliance ...

Data Analyst

Tampa, FL ยท On-site

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

Experience with data collection, data cleaning, statistical analysis, data visualization and reporting. * Experience working across a large team to drive a data agenda. * Experience working with ...

Guides students through data cleaning with Pandas, exploratory analysis with visualization libraries, building predictive models, conducting statistical tests, and creating compelling data ...

Data Scientist

Cape Canaveral, FL ยท On-site

$99K - $225K/yr

You Have: * 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining * 5+ years of experience with statistical and general-purpose programming ...

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Data Cleaner information

See Florida salary details

$6

$19

$54

How much do data cleaner jobs pay per hour?

As of Sep 14, 2026, the average hourly pay for data cleaner in Florida is $19.12, according to ZipRecruiter salary data. Most workers in this role earn between $10.34 and $19.91 per hour, depending on experience, location, and employer.

What is a data cleaner?

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 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 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 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.

What cities in Florida are hiring for Data Cleaner jobs?

Cities in Florida with the most Data Cleaner job openings:

Infographic showing various Data Cleaner job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $39,778 per year, or $19.1 per hour.

Data Scientist

Palm Beach, FL โ€ข On-site

Teksoft Systems Inc
IT Servicesย โ€ขย 11 - 50 employees

Other

Posted 19 days ago


Job description

Job Title: Data Science 

Location : Palm Beach , FL (Day One Onsite to Client Location) 

Experence : 8 + Years 

Hhands-on experience in data cleaning, transformation, and analysis using Python.

The ideal candidate is comfortable working with large, messy datasets, has exposure to modern data technologies, and brings a strong analytical mindset.

Experience with machine learning and LLMs is a strong plus.
Required Skills & Qualifications
8+ years of experience as a Data Scientist / Data Analyst

Strong proficiency in Python for data manipulation and analysis

Pandas, NumPy, SciPy

Solid understanding of data cleaning, transformation, and feature engineering

Experience with SQL (PostgreSQL, MySQL, BigQuery, Snowflake, etc.)

Familiarity with data visualization tools

Matplotlib, Seaborn, Plotly, or Power BI/Tableau

Understanding of statistics and data analysis fundamentals

Experience working with APIs and external data sources

Strong problem-solving and communication skills