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Informatica Data Quality Jobs in Florida (NOW HIRING)

Director, Master Data Management (MDM)

Plantation, FL ยท On-site

$140 - $180/hr

  • Medical

  • Life

  • Retirement

Serve as the executive sponsor and primary point of accountability for master data quality across ... Bachelor's degree in Information Systems, Business Management or related field a plus (Master ...

Data Analysis Manager

Boca Raton, FL ยท On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Drive enterprise data quality initiatives by identifying improvement opportunities and implementing ...

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Drive enterprise data quality initiatives by identifying improvement opportunities and implementing ...

Data Analysis Manager

Boca Raton, FL ยท On-site

  • Medical

  • Dental

  • Vision

  • PTO

TransUnion's Job Applicant Privacy Notice Personal Information We Collect Your Privacy Choices Team ... Drive enterprise data quality initiatives by identifying improvement opportunities and implementing ...

Data Reporting Analyst (HealthTech)

Orlando, FL

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field (Master's preferred). * 3+ years of experience in a data analyst, data quality, or business ...

Data Reporting Analyst (HealthTech)

Orlando, FL ยท On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Bachelor's degree in Data Analytics, Information Systems, Computer Science, Business, or related field (Master's preferred). * 3+ years of experience in a data analyst, data quality, or business ...

Showing results 41-60

Informatica Data Quality information

See Florida salary details

$7

$44

$58

How much do informatica data quality jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for informatica data quality in Florida is $44.60, according to ZipRecruiter salary data. Most workers in this role earn between $38.27 and $50.29 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Informatica Data Quality specialist?

To thrive as an Informatica Data Quality specialist, you need expertise in data analysis, data profiling, ETL processes, and a strong understanding of data governance principles, usually supported by a degree in computer science or a related field. Familiarity with Informatica Data Quality tools, SQL, and often Informatica certifications are commonly required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills in this role. These abilities are crucial to ensuring data accuracy, consistency, and reliability, which directly impact business decision-making and regulatory compliance.

What is Informatica Data Quality?

Informatica Data Quality is a suite of tools designed to help organizations ensure the accuracy, consistency, and reliability of their data. It provides capabilities for profiling, cleansing, standardizing, and monitoring data across various sources. With Informatica Data Quality, businesses can identify and correct data issues, enforce data quality rules, and maintain high-quality data for analytics, reporting, and operational use. The platform integrates with other Informatica products and supports both cloud and on-premises environments.

What are some common challenges faced in an Informatica Data Quality role and how can they be addressed?

Professionals in Informatica Data Quality roles often encounter challenges such as handling inconsistent data sources, managing large volumes of data, and ensuring data accuracy across complex systems. Addressing these challenges typically involves close collaboration with data stewards, business analysts, and IT teams to define and enforce data quality rules. Utilizing Informatica's profiling, cleansing, and monitoring features can help proactively detect and resolve data issues. Regular communication and feedback loops with stakeholders are also essential for maintaining high data standards and adapting to evolving business needs.

What is the difference between Informatica Data Quality vs Data Analyst?

AspectInformatica Data QualityData Analyst
Primary FocusData cleansing, profiling, and quality management using Informatica toolsData interpretation, reporting, and analysis to support business decisions
Required SkillsData quality tools, SQL, data profiling, ETL processesData analysis, visualization, SQL, Excel, business acumen
Work EnvironmentData management teams, IT departments, data warehousesBusiness units, analytics teams, reporting departments
CertificationsInformatica certifications, SQL knowledgeNone specific, often data analysis or business intelligence certifications

Informatica Data Quality specialists focus on ensuring data accuracy and consistency using specific tools, while Data Analysts interpret and analyze data to generate insights. Both roles require SQL skills, but their core responsibilities and work environments differ significantly.

What are popular job titles related to Informatica Data Quality jobs in Florida?

For Informatica Data Quality jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Informatica Data Quality jobs in Florida look for?

The top searched job categories for Informatica Data Quality jobs in Florida are:

Infographic showing various Informatica Data Quality job openings in Florida as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, 3% Contract, and 2% Nights. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $92,774 per year, or $44.6 per hour.

Data Science Internship (Data Platforms)

Mitsubishi Heavy Industries Group

Lake Mary, FL โ€ข On-site

Internship

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Data Science Associate

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Company Overview

At Mitsubishi Power, we're not just building better clean energy technologies; we're architecting a better future. Our team is boldly redefining power generation to accelerate the world's energy transition. We operate as one team, pushing toward our vision of the future. We value problem solvers, prioritize collaboration, and support each other in an inclusive culture built on accountability and authenticity by demonstrating our values: Safety, Family, Innovative, Inclusive, Accountable & Courageous. Together, we're building the future we all aspire to - making net zero a reality.

Role Overview

The Data Scientist Intern supports Mitsubishi Power's IT Data Platforms team by contributing to data quality, data cataloging, and automation efforts within enterprise data environments. This hands-on internship provides practical experience working with cloud-based data platforms, centralized data repositories, and Microsoft Power Platform tools. The role collaborates with Data Platforms leadership, Enterprise Applications, and IT stakeholders to support scalable, high-quality data solutions used across the business.ย 

Key Responsibilities

  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.

ย 

ย 

Requirements

  • Assist with data quality assessments across enterprise data sources, identifying gaps, inconsistencies, and improvement opportunities.
  • Support data catalog activities including documentation of datasets, metadata, data definitions, and lineage.
  • Validate, organize, and prepare ingested data within centralized platforms such as data lakes and structured repositories.
  • Contribute to automation efforts to surface data into Microsoft Power Apps and Power Automate workflows.
  • Perform data validation and reconciliation to ensure accuracy and completeness between source and ingested data.
  • Assist with development of basic dashboards, reports, and visualizations to support data visibility and usage.
  • Support testing and user acceptance activities to validate data processes and automation solutions.
  • Maintain tracking artifacts such as data quality logs, catalog trackers, and automation inventories.
  • Document data processes, standards, and learnings to support long-term platform sustainability.


Learning Outcomes

  • Gain hands-on experience with enterprise data platforms, including data lakes and cloud-based environments, understanding how data supports business operations.
  • Develop core data skills in data quality, validation, cataloging, and metadata management using real-world datasets.
  • Apply analytics and automation tools such as Excel, SQL, and Microsoft Power Platform to support business processes and workflows.
  • Strengthen problem-solving and communication skills by working cross-functionally and translating data insights into clear, actionable outcomes.

ย 

Mitsubishi Power is an Equal Employment Opportunity (EEO) employer actively seeking to diversify the workforce and is committed to a policy of equal employment opportunity. Therefore, all qualified applicants regardless of race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally recognized protected basis under applicable law, are strongly encouraged to apply.