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Data Masking Jobs in Connecticut (NOW HIRING)

The ideal candidate will be a self-starter with strong technical expertise in data analysis, data quality management, data modeling, and data masking, capable of working with minimal supervision ...

New

Masker

South Windsor, CT ยท On-site

$20/hr

Apply Masking Materials: Select and apply appropriate masking materials (tape, plugs, caps, etc ... Proficient in recording process data, using work orders, and maintaining accurate production logs.

Senior Snowflake Platform Engineer

Groton, CT ยท On-site

$103K - $142K/yr

Strong knowledge of the Snowflake Data Cloud including features such as Dynamic Tables, Snowpipe ... masking) for access/security troubleshooting. PREFERRED QUALIFICATIONS * Deep hands-on expertise ...

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Data Masking information

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 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 job categories do people searching Data Masking jobs in Connecticut look for? The top searched job categories for Data Masking jobs in Connecticut are:
Infographic showing various Data Masking job openings in Connecticut as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Data Specialist

Cyma Systems Inc

East Hartford, CT โ€ข On-site

Other

Posted 2 days ago

New


Job description

Data Specialist 

 Location: Hartford Preferred and hybrid 1-2 days at office

Need to be on our w2
 

We are seeking an experienced and independent Data Specialist to join our team and support ongoing data operations alongside our existing US-based resource. The ideal candidate will be a self-starter with strong technical expertise in data analysis, data quality management, data modeling, and data masking, capable of working with minimal supervision while effectively coordinating with multiple stakeholder teams. Experience working on a mainframe and SQL will be helpful.

 

Key Responsibilities

1. Data Analysis

  • Analyze large and complex datasets to identify trends, patterns, anomalies, and actionable insights.
  • Support business and technical teams with data-driven recommendations.
  • Prepare clear, accurate reports and summaries of findings for stakeholders.

2. Data Quality

  • Perform data quality assessments to identify gaps, inconsistencies, and errors.
  • Define and implement data quality rules, checks, and monitoring processes.
  • Collaborate with source teams to remediate data quality issues at the root cause.

3. Data Modeling (Validation, Standardization, and Control)

  • Validate data models against business and technical requirements.
  • Standardize data structures, formats, and definitions across systems.
  • Establish and enforce data controls to ensure consistency, accuracy, and compliance.

4. Data Masking

  • Apply data masking and anonymization techniques to protect sensitive and confidential information.
  • Ensure masking approaches comply with data privacy, security, and regulatory requirements.
  • Work with technical teams to implement masking within data pipelines and environments.

5. Cross-Team Coordination

  • Serve as a liaison between App Dev, Data Conversion, and Client teams.
  • Facilitate clear communication, alignment, and issue resolution across teams.
  • Track dependencies, action items, and deliverables to ensure timely execution.

Required Skills & Experience

  • Proven, hands-on experience in data analysis, data quality management, data modeling, and data masking.
  • Strong understanding of data validation, standardization, and governance/control practices.
  • Demonstrated ability to work independently with minimal guidance or hand-holding.
  • Strong communication and coordination skills, with experience working across distributed/cross-functional teams (onshore/offshore).
  • Proficiency with relevant data tools and platforms (e.g., SQL, data quality/profiling tools, masking tools โ€” specify per tech stack).
  • Prior experience supporting data conversion or migration projects is a plus.