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Data Cleansing Jobs in Florida (NOW HIRING)

This position is responsible for day-to-day acquisition, enrichment, validation, and cleansing of CRM data. The work will begin with manual execution of key processes and evolve to include ownership ...

Application Developer Intern

Melbourne, FL · On-site

$17.75 - $23.50/hr

This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data ...

New

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 ...

Lead, Data Engineer

Tallahassee, FL · Remote

$127K - $236K/yr

This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data ...

Lead, Data Engineer

Melbourne, FL · Remote

$127K - $236K/yr

This role includes overseeing data ETL/ELT pipelines, ensuring adherence to data standards, maintaining data frameworks, conducting data cleansing, orchestrating data pipelines, and ensuring data ...

Bigdata Engineer

Tampa, FL · On-site

$52.75 - $69.75/hr

... data ingesting, cleansing/processing, storing and querying large datasets • 2+ years of experience in engineering large-scale data solutions with Java/Tomcat/ SQL/Linux • Experience working in a ...

Data Eng Sr

Fort Walton Beach, FL · Remote

$94K - $112K/yr

Ensure data quality, integrity, and security by implementing data validation, data cleansing, and data governance policies * Optimize data systems for performance, scalability, and reliability

Showing results 21-40

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 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:

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.

Data Operations Specialist

Vector Solutions

Tampa, FL • On-site

Other

Re-posted 26 days ago


Job description

Apply
Job Type
Full-time
Description

Vector Solutions is a leading, AI-enabled, performance platform powering safe, compliant, and efficient operations for the public, educational, and commercial sectors. We bring training, safety, and workforce operations together to boost readiness, reduce risk, and drive high-performance results for the everyday heroes who count on us.


The Data Operations team builds and maintains the data foundation that fuels revenue acceleration and customer experience. We ensure data is accurate, structured, enriched, and actionable, enabling downstream teams to engage prospects, support customers, and operate efficiently.


The Data Operations Specialist plays a hands-on role in executing the tactical components of data operations. This position is responsible for day-to-day acquisition, enrichment, validation, and cleansing of CRM data. The work will begin with manual execution of key processes and evolve to include ownership of emerging automation tools that streamline and scale these activities.


This role is ideal for someone who is detail-oriented, process-driven, and eager to support both foundational and evolving data operations capabilities.


What You'll Do:

  • Execute daily and weekly workflows that bring new leads, contacts, and accounts into Salesforce from internal and external sources
  • Verify incoming data for completeness and readiness, ensuring new records meet minimum viable data requirements before passing to downstream teams.
  • Support manual import processes while contributing to future-state automation design.
  • Append missing or incomplete fields using third-party tools and internal sources (e.g., job title, phone number, industry, employee count, department identifiers).
  • Validate email addresses and phone numbers using tools such as NeverBounce or similar platforms to improve deliverability and outreach effectiveness.
  • Conduct ongoing updates to maintain current and accurate contact and account information.
  • Perform deduplication of leads, contacts, and accounts using defined logic and supported tools.
  • Flag and quarantine records that do not meet required quality levels for additional review or enrichment.
  • Support account hierarchy management to maintain clean parent-subsidiary relationships in the CRM.
  • Monitor and prevent contact decay by identifying outdated or invalid information.
  • Execute routine and ad hoc data cleansing, record updates, and quality checks to support strategic initiatives.
  • Build and maintain reports and dashboards that provide visibility into data quality, pipeline health, enrichment progress, and operational performance.
  • Participate in testing and rollout of automation initiatives that reduce manual work and increase data reliability.
  • Other duties as assigned.
Requirements

What We're Looking For:

  • 1-3 years of experience in data operations, sales operations, marketing operations, or related field (SaaS environment preferred).
  • Demonstrated experience performing tactical data tasks such as cleansing, enrichment, imports, audits, or reporting.
  • Bachelor's degree in Business Administration, Data Management, Information Systems, Marketing, or related field.
  • Exposure to data governance frameworks and quality management practices.
  • Experience with tools supporting data enrichment, validation, deduplication, or account hierarchy management.
  • Strong attention to detail with a methodical approach to execution.
  • Technical proficiency with CRM systems (Salesforce preferred) and data management tools.
  • Comfort working with enrichment, validation, and deduplication tools.
  • Ability to prioritize and manage multiple requests in a fast-moving environment.
  • Strong analytical and problem-solving skills.
  • Clear verbal and written communication skills; able to collaborate effectively across teams.
  • Adaptability and willingness to refine processes as tools and requirements evolve.
  • Ability to work between 5:00 pm to 2:00 am Philippine Standard time and other hours as needed.


What We Value:

  • Teamwork - Above all, we're a team. We give and value feedback. We support each other, respect each other and work together to accomplish our common goals and serve our customers. Once we make decisions, we align behind them as a team.
  • Customers First - Our customers' success is our success. They are why we are here. We work to earn the trust of our customers and always deliver on our commitments.
  • Make a Difference - It's not a job, it's a calling. We have passion for our mission, for our customers, for our work, and for sharing a fulfilling experience with our fellow team members.
  • Inclusiveness - Uniqueness is powerful. We support an environment of respect, belonging, and community that promotes a variety of perspectives and crucial conversations, leading to better outcomes.
  • Act Now - We act with urgency. The best time to get something important done is now. We don't wait and let perfection be the enemy of good.
  • Curiosity - We love a good challenge. We're scrappy, we stretch ourselves to be the best, ask questions, learn from our mistakes, and are dedicated to continually improving and growing.
  • Ownership - We own the outcome and don't pass the buck. The score matters. We hold ourselves and each other accountable. We treat company resources like they are our own.

Who We Are:

Vector Solutions is a leading, AI-enabled, performance platform powering safe, compliant, and efficient operations across education, commercial, and public safety sectors. Our AI-driven software brings training, safety, and workforce operations together, embedded into daily workflows to boost readiness, reduce risk, and drive high-performance results.


We help keep the people who protect and serve others safe on the job. From firefighters and EMS crews, to educators and commercial workforces, we use AI-powered training, workforce scheduling, and performance management to build sharper skills and stronger readiness.


We have approximately 700 team members globally, headquartered in Tampa, FL, with additional offices in Cincinnati, OH, Bloomington, IN, New York, NY, San Diego, CA, and Manila, Philippines. Our mission: empower everyday heroes to make safer, smarter, better decisions.