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Data Cleansing Jobs in Florida (NOW HIRING)

USM

Urgent Need Database Analyst

Tallahassee, FL

Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis, Data Quality and Data Cleansing ...

USM

Database Analyst

Tallahassee, FL

Tallahassee FL Duration: Long Term Maintains the implemented Informatica Data Quality and Data Cleansing software and infrastructure Administers project team access to the Informatica Data Analysis ...

Genius Business Solutions

SAP Data Lead

Orlando, FL · On-site

Job Summary We are seeking an experienced SAP Data Lead to manage and oversee data preparation, cleansing, validation, and migration activities for SAP implementation and transformation programs. The ...

Royal Caribbean Group

Data Analytics Engineer

Miami, FL · On-site

$109K - $131K/yr

... data cleansing and transformations. • Experience working with databases, including Oracle, Databricks, or SQL Server. • Strong quantitative, analytical, and problem-solving skills. • ...

Disys

Bigdata Engineer

Tampa, FL

$52.75 - $69.75/hr

Fundamental understanding of AWS cloud components. 2+ years of experience in data ingesting, cleansing/processing, storing and querying large datasets 2+ years of experience in engineering large ...

Diocese of Orlando

Advancement Data Manager

Orlando, FL · On-site

Perform regular database audits, data cleansing, and duplicate record management. * Establish and maintain data entry standards and procedures. Reporting and Analytics * Generate fundraising reports ...

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All JobsData Cleansing JobsData Cleansing Jobs in Florida

Data Cleansing information

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$25.4K

$61.8K

$101.6K

How much do data cleansing jobs pay per year?

As of Jul 31, 2026, the average yearly pay for data cleansing in Florida is $61,756.00, according to ZipRecruiter salary data. Most workers in this role earn between $46,700.00 and $72,500.00 per year, depending on experience, location, and employer.

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 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.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can be complex depending on data size and quality. It requires attention to detail, familiarity with tools like Excel or specialized software, and sometimes knowledge of programming languages such as Python or SQL. The difficulty varies based on the data's complexity and the specific requirements of the project.

What skills are needed for data cleansing?

Data cleansing requires strong attention to detail, proficiency in spreadsheet tools like Excel, and knowledge of data management software such as SQL or data cleaning tools. Analytical skills and the ability to identify and correct errors are essential for ensuring data accuracy and consistency.

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 does a data cleanser do?

A data cleanser is responsible for reviewing and correcting data to ensure accuracy, consistency, and completeness. This process involves identifying and fixing errors, removing duplicates, and standardizing formats, often using tools like Excel or specialized data cleaning software. Data cleansing helps improve data quality for analysis and decision-making.

What is a data cleansing job?

A data cleansing job involves reviewing and correcting data to ensure accuracy, consistency, and completeness. It often requires skills in data management tools and attention to detail to identify and fix errors, duplicates, or inconsistencies in datasets.
What are the most commonly searched types of Data Cleansing jobs in Florida? The most popular types of Data Cleansing jobs in Florida are:
What are popular job titles related to Data Cleansing jobs in Florida? For Data Cleansing jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Cleansing jobs in Florida look for? The top searched job categories for Data Cleansing jobs in Florida are:
What cities in Florida are hiring for Data Cleansing jobs? Cities in Florida with the most Data Cleansing job openings:
Data Cleansing jobs near you
Infographic showing various Data Cleansing job openings in Florida as of July 2026, with employment types broken down into 6% Locum Tenens, 78% Full Time, 9% Part Time, 1% Temporary, 4% Contract, and 2% Summer. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $61,756 per year, or $29.7 per hour.

Lead, Project Engineering (Data Cleansing Lead)

L3HHCM20

Palm Bay, FL

Other

Posted 3 days ago

New

Job description

Job Title: Lead, Project Engineering (Data Cleansing Lead)

Job Code: 40078

Job Location: Palm Bay, FL

Job Schedule: 9/80

 

Job Description:  

The Data Cleansing Lead acts as the critical gatekeeper of data integrity for the enterprise PLM implementation, ensuring that legacy engineering data is systematically audited, scrubbed, and standardized prior to migration. Recognizing that system automation and user trust depend entirely on data quality, this role establishes the overarching cleansing strategy, data-profiling rules, and governance metrics required to remediate millions of complex records, including CAD files, Bills of Materials (BOMs), part taxonomies and documents. By mobilizing and coordinating cross-functional teams of engineers, data analysts, and business analysts, the Lead drives the collaborative effort to eliminate duplicates, enrich incomplete metadata, and purge obsolete files. Ultimately, this position converts historical "dirty data" into a pristine digital thread, mitigating the risk of post-Go-Live system failures and ensuring a stable, high-performing PLM environment from day one

Essential Functions: 

  • Establish the overall data cleansing strategy, scope, and compliance standards for legacy data migration into the new PLM environment.
  • Define and enforce data profiling rules, quality standards, naming conventions, part attribution criteria, and engineering classification structures to improve consistency and readiness.
  • Lead data profiling and cleansing activities to identify and remediate structural anomalies, missing metadata, orphaned files, duplicate part numbers, obsolete records, and incomplete documentation.
  • Partner with Engineering, R&D, Procurement, Quality, PLM Solution Architects, Data Migration Engineers, and policy stakeholders to align cleansing rules with target system design and governance requirements.
  • Coordinate cross-functional remediation efforts, assign ownership for data issues, and manage analyst and support resources to ensure cleansing work is executed effectively and on schedule.
  • Oversee mock data migrations and provide dashboards, health reports, metrics, and KPI tracking to measure readiness, monitor progress, and support project leadership decision-making.
  • Assist with mapping of data model including object types, attributes and folder hierarchy to the target system

Qualifications:

  • Bachelor's Degree (preferably in Data Science, Computer Science, Information Technology, Engineering, or a highly analytical/quantitative field) and minimum 9 years of prior relevant experience. Graduate Degree and a minimum of 7 years of prior related experience. In lieu of a degree, minimum of 13 years of prior related experience.
  • Minimum of 5 years of data management, data quality, or data governance experience
  • Experience leading data cleansing/migration workstreams for large-scale enterprise system rollouts (PLM, ERP, or MDM required). 
  • Experience developing, improving, or governing technical processes within a regulated engineering environment.

Preferred Additional Skills:

  • Familiarity with engineering and manufacturing data structures, including CAD files, Product Structure trees, Bills of Materials (e.g., EBOM, MBOM), and Engineering Change Notices (ECNs).
  • Experience developing training content, guidance material, or playbooks that support organizational capability growth
  • Experience with data analysis, data profiling, and ETL tools (e.g., SQL, Excel advanced macros, Alteryx, Informatica, or vendor-specific data migration utilities)



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