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Data Cleansing Jobs in Florida (NOW HIRING)

LumenData

MDM Tech Lead

Miami, FL · On-site

Data Integration: Integrate data from various source systems into Informatica's SAS MDM platform through IDMC, performing data profiling, cleansing, and transformation to ensure data quality and ...

CEDENT

Qlik Sense Consultant

Tallahassee, FL · On-site

Monitor data quality to identify data issues and propose data cleansing or enhancement solutions. * Stay updated with industry trends and best practices in data analysis, visualization, and reporting.

LumenData

MDM Tech Lead

Miami, FL · On-site

$120 - $150/hr

Data Integration: Integrate data from various source systems into Informatica's SAS MDM platform through IDMC, performing data profiling, cleansing, and transformation to ensure data quality and ...

New

Suncoast Credit Union

Senior Data Engineer

Tampa, FL · Remote

$86K - $115K/yr

Leverages existing data infrastructure to fulfill all data-related requests, perform necessary data housekeeping, data cleansing, normalization, hashing, and implementation of required data model ...

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All JobsData Cleansing JobsData Cleansing Jobs in Florida

Data Cleansing information

See Florida salary details

$25.4K

$61.8K

$101.6K

How much do data cleansing jobs pay per year?

As of Sep 2, 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 is data cleansing?

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.

What are the key skills and qualifications needed to thrive in data cleansing, 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 are some common challenges faced in data cleansing?

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.

Is data cleansing hard?

Data cleansing as a job involves identifying and correcting errors, inconsistencies, and inaccuracies in datasets, which can require attention to detail and familiarity with tools like Excel or specialized software. The difficulty depends on the complexity and size of the data, but it generally requires patience and analytical skills.

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 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 $61,756 per year, or $29.7 per hour.

Lead Data Engineer - Solutioning

1976 Walt Disney Attractions Technology LLC

Orlando, FL • On-site

$148.30 - $198.80/hr

Other

Posted 21 days ago

Job description

Job Posting Title: Lead Data Engineer - Solutioning Req ID: 10155496 Job Description: “We Power the Magic!” That’s our motto at Disney Experiences Technology (DXT).

Our team creates world-class immersive digital experiences for the Company’s premier vacation brands including Disney’s Parks & Resorts worldwide, Disney Cruise Line, Aulani, A Disney Resort & Spa, and Disney Vacation Club. The DXT team is responsible for the end-to-end digital and physical Guest experience for all technology & digital-led initiatives across the Attractions & Entertainment, Food & Beverage, Resorts & Transportation, and Merchandise lines of business as well as other initiatives including the MyDisneyExperience app and Hey, Disney! This role sits in the Data Products & Platform organization within Disney Experiences Technology (DXT). It works closely with Product Management, Data Architecture, and Data Engineering delivery teams from across the organization. The Lead Data Engineer - Solutioning will report to the Manager of Data Engineering Solutions.

What You’ll Do:
  • Serve as the primary technical counterpart to Product Managers, engaging early in the intake process to assess feasibility, clarify scope, and identify data dependencies
  • Translate business requirements and product requests into well-defined data solution briefs, including data sourcing strategy, transformation logic, and consumption patterns
  • Partner with Data Architects to translate solution requirements into architectural patterns and data model designs that align with enterprise standards
  • Engage in estimation and planning activities, providing sizing guidance and technical risk assessment for product intake requests
  • Lead the design, construction, and management of technology architecture, solutions, and software aimed at gathering, managing, and using both structured and unstructured data from various sources
  • Develop robust processes and structures to optimize data flow, routing, and storage, meticulously considering business and technical requirements, and deploying cloud and local storage solutions as necessary
  • Use advanced technical tools and programming expertise to implement data cleansing, organization, transformation, and maintenance tasks, integrating automation and innovative methodologies like big data, artificial intelligence, and machine learning
  • Define design standards and quality assurance procedures for software and systems development, ensuring seamless data compatibility, operability, and integrity across all data connections, transmissions, and storage systems
  • Analyze internal and external business and product needs regarding data operations, suggesting adjustments and improvements to systems and storage to keep up with ongoing demands
  • Help engage around the estimation and planning of highly sophisticated scalable projects and their budget allocations You will be expected to stay up to date with emerging technologies so you can make informed recommendations May be required to provide support escalation, coordinate the ongoing operations, and support the enhancement of existing tools as needed
Required Qualifications:

Minimum 7 years of related work experience

Advanced development skills in cross-platform coding languages such as SQL, Python, Java, and Scala. SQL and scripting expertise for data extraction, transformation, and building performant datasets, with a focus on automation Extensive experience with relational databases and NoSQL databases (e.g., Snowflake, Databricks, Oracle, MongoDB, DynamoDB, Redis) Proficient in cloud technologies including AWS (e.g., Lambda, Kinesis, DMS, Managed Flink) and Google Cloud Platform (GCP) for data storage, processing, and analysis Comfortable working in an agile environment, collaborating with cross-functional teams, and adapting to changing requirements A visionary who motivates teams to excel and fosters creativity, consistently driving excellence in all endeavors Familiar with SQL, Python, cloud data platforms (AWS, Azure, or GCP), and modern data stack tools such as Snowflake, Databricks, Spark, Airflow, or dbt, with a desire to further develop technical expertise in data engineering tools, methodologies, and emerging technologies

An advocate for a diverse and inclusive culture that encourages innovation and ensures every team member feels a sense of belonging

Preferred Qualifications:

Proven ability to lead technical solutioning sessions with cross-functional stakeholders, including Product Managers, Architects, and Engineering leads A collaborative, solutions-oriented mindset with a track record of driving clarity and momentum in ambiguous or complex delivery environments Strong understanding of data modeling concepts including dimensional modeling, data vault, and medallion/lake house architectures Demonstrated ability to bridge business and technical domains — translating product and stakeholder requirements into executable data engineering solutions Experience in a formal solutions engineering, technical product management, or data product owner capacity Familiarity with data governance, data quality frameworks, and metadata management platforms (e.g., Alation, Unity Catalog, Apache Atlas) Experience with data contract design and producer/consumer interface standards

Required Education:

Bachelor’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

Preferred Education:

Master’s degree in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience

#DISNEYTECH #LI-AF2

The hiring range for this position in FL is $148,300.00-$198,800.00 per year. The base pay actually offered will take into account internal equity and also may vary depending on the candidate’s geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job Posting Segment: DX Technology

Job Posting Primary Business: Emerging Tech & Data

Job Posting Primary Job Posting Category: Data Engineering

Employment Type: Full time

Primary City, State, Region, Postal Code: Orlando, FL, USA

Alternate City, State, Region, Postal Code:

Date Posted: 2026-07-28

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