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Data Masking Jobs in Florida (NOW HIRING)

Raymondjames

Sr. Data Privacy Engineer

Saint Petersburg, FL · Hybrid

$100K - $136K/yr

This role focuses heavily on building scalable data discovery and masking solutions utilizing OneTrust Enterprise Data Discovery (EDD), Informatica Data Privacy Management (DPM), and Informatica Test ...

Lennar

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

... data masking. Company : For more than 70 years, Lennar has been in the business of making homeownership more attainable for more people. Founded in 1954, the company is headquartered in Miami, USA ...

Tampa Electric

Data Analytics Architect

Tampa, FL · On-site

... masking, anonymization, and tokenization. • The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis, advising ETL ...

TECO

Data Analytics Architect

Tampa, FL · On-site

... data masking, anonymization, and tokenization. 15% 3. The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis ...

Lennar

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

Understanding of data security practices, including encryption, access controls, and data masking. Physical & Office/Site Presence Requirements: Regular, in-person attendance at the Lennar office ...

TECO

Data Analytics Architect

Tampa, FL · On-site

... data masking, anonymization, and tokenization. 15% 3. The Data Architect translates user requirements into data models and supporting applications by guiding data analysts in source analysis ...

Lennar

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

... data masking. Physical & Office/Site Presence Requirements: Regular, in-person attendance at the Lennar office during regular work hours is an essential function of this job. This is primarily a ...

Lennar Homes

Data Engineer II

Miami, FL · On-site

$109K - $131K/yr

... data masking. Physical & Office/Site Presence Requirements: Regular, in-person attendance at the Lennar office during regular work hours is an essential function of this job. This is primarily a ...

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All JobsData Masking JobsData Masking Jobs in Florida

Data Masking information

Do data entry jobs really pay?

Data masking jobs typically involve handling sensitive information and may be part of data security or data management roles. Compensation varies based on experience, location, and employer, with many positions offering hourly wages or salaries aligned with industry standards for data-related work.

What is the difference between Data Masking vs Data Analyst?

AspectData MaskingData Analyst
Required CredentialsTypically no formal certifications, but knowledge of data security and privacy standardsBachelor's degree in data science, statistics, or related field; certifications like CAP or Microsoft Certified Data Analyst are common
Work EnvironmentIT/security teams, often within data security or compliance departmentsBusiness intelligence, analytics teams, or data departments across various industries
Employer & Industry UsageUsed in industries handling sensitive data like finance, healthcare, and retailUsed across industries for data-driven decision making, reporting, and insights

Data Masking focuses on protecting sensitive information by obfuscating data to ensure privacy and security. Data Analysts interpret and analyze data to generate insights. While Data Masking is a technical security process, Data Analysts work with the data post-masking to support business decisions.

What does data masking do?

Data masking is a technique used by data masking professionals to protect sensitive information by replacing it with fictitious or obfuscated data. It ensures that confidential data remains secure during testing, development, or sharing, reducing the risk of data breaches while maintaining data usability. Skills in data masking tools and understanding of data privacy regulations are important for this role.

What are the key skills and qualifications needed to thrive as a Data Masking Specialist, and why are they important?

To thrive as a Data Masking Specialist, you need a solid understanding of data security principles, database management, and regulatory compliance, typically supported by a degree in computer science or information security. Familiarity with data masking tools such as Informatica, IBM Optim, or Microsoft SQL Server Data Masking, as well as relevant certifications like CISSP or CISM, is often required. Strong analytical thinking, attention to detail, and effective communication are standout soft skills in this role. These competencies are crucial to ensure sensitive data is properly protected, minimizing security risks and meeting compliance requirements.

What is data masking?

Data masking is a process used to protect sensitive information by replacing original data with fictional but realistic data. The goal is to ensure that confidential data, such as personal identification numbers or financial information, cannot be accessed by unauthorized users, especially in non-production environments like testing or development. Data masking maintains the format and structure of the original data so that applications can function correctly while ensuring privacy and compliance with regulations. This technique is commonly used in industries that handle large amounts of sensitive information, such as healthcare, finance, and government.

What are some common challenges faced by professionals working in data masking roles?

Professionals in data masking roles often encounter challenges such as ensuring that masked data remains useful for development or testing while maintaining strict compliance with privacy regulations. Balancing security with data utility can be complex, especially when working with legacy systems or large-scale databases. Collaboration with database administrators, developers, and compliance teams is essential to design effective masking strategies and troubleshoot issues as they arise. Staying updated on evolving data privacy laws and best practices is also crucial for long-term success in this field.

What is a masking job?

A data masking job involves modifying sensitive information within databases or data sets to protect privacy while maintaining data usability. Professionals in this role use tools and techniques to anonymize or obfuscate data, often working with security standards and compliance requirements.

What is the highest paying job in data?

In data-related fields, roles such as Data Engineering Manager, Data Architect, and Chief Data Officer tend to be the highest paying, often earning six-figure salaries. These positions require advanced skills in data architecture, cloud platforms, and leadership, and typically involve overseeing data strategy and infrastructure.
What are popular job titles related to Data Masking jobs in Florida? For Data Masking jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Data Masking jobs in Florida look for? The top searched job categories for Data Masking jobs in Florida are:
What cities in Florida are hiring for Data Masking jobs? Cities in Florida with the most Data Masking job openings:
Data Masking jobs near you
Infographic showing various Data Masking job openings in Florida as of July 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 84% In-person, and 16% Remote job distribution.
Sr. Database Analyst

Sr. Database Analyst

Sanrose Information Services Inc.

Tallahassee, FL • On-site

Other

Posted 3 days ago

Job description

This is 100% onsite work position based in Tallahassee,FL. Apply only if you are willing to relocate.

Education: Bachelor’s or Master’s Degree in Computer Science, Information Systems, or other related field. Work experience can substitute on a year for year basis for the degree.

Certifications in the field

Required Experience:

1.       15+ years of experience as a Database Administrator with Oracle,  PL/SQL.

2.       5+ years of experience with Oracle 19c Multi-Tenant Architecture and database infrastructure design on RAC Databases.

3.       Experience working with CDB/PDB environments.

4.       Experience in Red Hat Linux & Oracle Linux Operating Systems.

5.       Experience in following processes and procedures to standardize Database installations and configuration.

6.       Experience automating, scripting, and streamlining processes for efficiency and accuracy utilizing Unix shell scripting or other scripting tools.

7.       Broad experience in the art of performance tuning, utilizing OEM or third-party tools to finely tune objects and queries in Oracle 19c.

8.       Comprehensive understanding of Oracle backup methodologies.

9.       Monitor alert logs, OEM and system alerts, and acting on the Results.

10.   Willingness to participate in after-hours Production support.

11.   Proficiency in Linux, Unix, Java, and DBA.

12.   Understanding of production environments, technical support, and troubleshooting.

13.   Knowledge of Automatic Storage Management (ASM).

14.   Experience with Oracle Exadata.

15.   Experience working in UNIX operating system.

16.   Ability to write simple to complex Linux/Unix shell scripts and Perl scripts.

17.   Strong knowledge in Unix/Linux System administration.

18.   Ability to work independently and to resolve complex Oracle Issues.

19.   Experience with data pump and working knowledge to use expdp and impdp

20.   Ability to effectively diagnose, isolate, and resolve complex problems pertaining to data infrastructure.

21.   Ability to write, SQL, PL/SQL, Oracle Stored Procedures functions, Packages and Database Triggers.

22.   Ability to Tune Oracle SQL and PL/SQL performance.

23.   Experience in logical database design and data models.

24.   Understanding of the software development lifecycle process.

25.  Practical experience in monitoring and turning a database to provide a high availability service.

26.  Experience with Oracle Enterprise Manager (OEM).

27.  Knowledge of data privacy and protection initiatives.

28.  Strong communication and collaborative skills.

29.  Excellent verbal and written communication skills.

30.  Knowledge of data masking using Test Data Management Tool to Develop and maintain enterprise-wide data masking standards for Oracle databases

31.  Knowledge of data masking using Test Data Management Tool Define masking rules, algorithms, and transformation logic aligned with business and compliance requirements

32.  Knowledge of data masking using Test Data Management Tool Ensure masked data remains referentially intact across schemas and applications

33.  Knowledge of data masking using Test Data Management Tool Configure and execute masking workflows using the organization’s Test Data Management tool

34.  Knowledge of data masking using Test Data Management Tool Build reusable masking templates, rule sets, and automation pipelines

Preferred Experience:

1.    Excellent working skills with Oracle Exadata and

2.    Experience with SQL performance tuning and database architecture.

3.    Experience in converting traditional databases to Container Model - Oracle Multitenant architecture.

4.    Experience working with Test Data Management Tool

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