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Data Masking Jobs in Fort Mill, SC (NOW HIRING)

Coordinate delivery across Data Security Posture Management (DSPM), Cryptographic Services, and Data Masking teams. * Monitor operational metrics, service performance, utilization, capacity planning ...

New

Senior DevOps Engineer

Charlotte, NC · On-site

$120 - $165/hr

Enforce data masking and PII anonymization for non-production environments * Validate data integrity and consistency post-refresh Observability, Reliability & Operations * Define and enforce ...

Scrum Master

Charlotte, NC · On-site

$50.25 - $67.25/hr

... • Data masking and Data encryption practices. • Certifications are must Company : eCom Solutions Inc., headquartered in Charlotte, NC, is a certified Minority Business Enterprise (MBE ...

Senior DevOps Engineer

Charlotte, NC · Hybrid

$127K - $163K/yr

Enforce data masking and PII anonymization for nonproduction environments * Validate data integrity and consistency postrefresh Observability, Reliability & Operations * Define and enforce ...

Test Manager

Charlotte, NC · On-site

$100K - $125K/yr

... data, masking of sensitive payment details, and ensuring compliance with data privacy standards. • Analyze Large Data Sets using SQL and other tools to verify transformations, identify anomalies ...

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

... masking to ensure compliant and auditable data access at scale. Cloud Migration Support Play an integral role in planning, designing, and implementing data migration strategies from legacy on ...

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

... masking to ensure compliant and auditable data access at scale. Cloud Migration Support Play an integral role in planning, designing, and implementing data migration strategies from legacy on ...

Senior Data Engineer

Charlotte, NC · On-site

$103K - $140K/yr

... masking to ensure compliant and auditable data access at scale. Cloud Migration Support Play an integral role in planning, designing, and implementing data migration strategies from legacy on ...

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Data Masking information

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 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 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 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 are popular job titles related to Data Masking jobs in Fort Mill, SC?

For Data Masking jobs in Fort Mill, SC, the most frequently searched job titles are:

What job categories do people searching Data Masking jobs in Fort Mill, SC look for?

The top searched job categories for Data Masking jobs in Fort Mill, SC are:

What cities near Fort Mill, SC are hiring for Data Masking jobs?

Cities near Fort Mill, SC with the most Data Masking job openings:

Infographic showing various Data Masking job openings in Fort Mill, SC as of August 2026, with employment types broken down into 52% Full Time, 38% Contract, and 10% Nights. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.

Contractor

Re-posted 8 days ago


Job description

Role - Data Engineer: Job Description - Creation of data products for all consumers - business users analysts and modelers. Explore and understand data sets. - Visualize the data set determine whether the data set has enough information to answer the question that the business is asking. - Work with IT support to create ETL / ELT interfaces to the data lake and create and visualize the data and data products on the data lake - Implement required data transformation in the data lake - Configure required security and data masking to a data set - Support testing of data acquisition data set correlation and / or model development. Investigate and resolve interface issues - Work with IT to harden and productionize the model model interfaces and business procedures. Requirements: - Master's/ Bachelor's Degree in one of the following: Engineering Statistical Analytics Data Science or Actuarial Science. o At least 3-5 years of relevant work experience in implementing data and analytics projects. - The resources must have domain technical experience in delivering data engineering solutions using data lake technology - Experience with the following: Hadoop (CDH) relational databases and SQL ETL development spark data validation and testing (Data Warehousing ETL/ELT to the Data Lake Using the Data Lake for data analysis (Hadoop tools - Hive Impala Pig Sqoop Hue Kafka etc. Python R java Docker Dakota). - Knowledge of Cloud platform implementation (Azure or Amazon). Knowledge of data visualization tools is a plus (Tableau on multiple platforms along with Python visualization in the Data Lake using Pandas and bokeh packages) - Excellent written verbal and interpersonal skills a must as there will be significant collaboration with the business and IT - Experience with collaborative development workflows (e.g. Microsoft VSTS TFS Bamboo Github)
Hours : 8:00am to 5:00pm
Education :
Additional Job Details :