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Data Masking Jobs in Chicago, IL (NOW HIRING)

Experience of data masking Knowledge/Skills/Abilities * Should have worked any of technologies any TDM tool (IBM InfoSphere Optim, LISA, Delphix, Informatica BizDataX) * Should have Strong TDM & TEM ...

Experience of data masking Knowledge/Skills/Abilities * Should have worked any of technologies any TDM tool (IBM InfoSphere Optim, LISA, Delphix, Informatica BizDataX) * Should have Strong TDM & TEM ...

GCP Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

Data quality management * Design secure architectures using IAM, encryption, data masking, and access control policies. * Ensure compliance with regulatory and organizational standards. Scalable Data ...

Data encryption and data masking * SAP Cloud ALM Personal Attributes * Strong analytical and problem-solving skills. * Excellent stakeholder engagement and communication skills. * Able to work in a ...

Data encryption and data masking * SAP Cloud ALM Personal Attributes * Strong analytical and problemsolving skills. * Excellent stakeholder engagement and communication skills. * Able to work in a ...

Data Architect

Chicago, IL · On-site

$65.75 - $84.50/hr

As a Data Architect, you will design the technical backbone of clients' data ecosystems, enabling ... masking, tokenization, retention policies, and metadata-driven governance frameworks. • Implement ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations for analytics and AI, transforming ... PII masking and tokenization. • Apply software development best practices--including version ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

The Data Engineer role involves designing and building data foundations that power analytics and AI ... PII masking and tokenization. • Apply software development best practices--including version ...

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

As a Data Engineer, you will design and build data foundations that power analytics and AI ... PII masking and tokenization. • Apply software development best practices--including version ...

Strong understanding of data governance, sensitive data handling, and PII masking or exclusion. * Excellent communication and teamwork skills. PREFERRED SKILLS: * Experience with insurance claims ...

Strong understanding of data governance, sensitive data handling, and PII masking or exclusion. * Excellent communication and teamwork skills. PREFERRED SKILLS: * Experience with insurance claims ...

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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.
Infographic showing various Data Masking job openings in Chicago, IL as of August 2026, with employment types broken down into 54% Full Time, and 46% Contract. Highlights an 90% In-person, and 10% Remote job distribution.

Data Warehouse Specialist

Tata Consultancy Service Limited

Naperville, IL • On-site

$115K - $125K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 days ago


Job description

Must Have Technical/Functional Skills
Job description: We are seeking a highly skilled Senior Data Engineer to architect, build, and optimize enterprise grade data pipelines across cloud, on prem, and hybrid environments. This role requires deep expertise in Qlik Replicate, Snowflake, DBT Cloud, Astronomer Airflow, and Python based ingestion frameworks, with strong engineering discipline around schema governance, DevOps CI/CD, monitoring, and performance optimization. The ideal candidate thrives in complex data ecosystems and brings a strong mindset around automation, metadata driven design, and secure, governed ingestion.
Responsibilities:
• Data Pipeline Architecture & Development
• Design and implement scalable, resilient data pipelines using Snowflake features including Snowpipe, Tasks, Streams, Dynamic Tables, and advanced SQL.
• Build and maintain DBT models with strong testing, documentation, and lineage.
• Develop Python ingestion frameworks for files and APIs, including schema validation, retries, and metadata capture.
• Engineer ingestion for CSV, fixed width multi record layouts, JSON, XML, Excel, and semi structured formats.
• Design Mainframe VSAM data ingestion pattern for complex EBCDIC data formats.
• Schema Drift & Schema Evolution
• Detect, analyze, and manage schema drift across file, API, and replicated database sources.
• Implement metadata driven schema evolution strategies to ensure downstream stability.
• Coordinate schema changes through controlled CI/CD workflows.
• Database Replication & CDC
• Configure and manage Qlik Replicate tasks for CDC and full load replication from Oracle, SQL Server, and DB2.
• Ensure idempotent, auditable, and recoverable replication pipelines with strong monitoring and reconciliation.
• Data Governance, Security & Tokenization
• Implement and maintain Snowflake Data Masking policies, including dynamic masking, conditional masking, and role based masking rules.
• Apply Protegrity tokenization for sensitive data fields across ingestion and transformation
layers.
• Enforce RBAC, data access controls, and governance standards across Snowflake and supporting systems.
Orchestration & Automation
• Build and schedule workflows using Astronomer Airflow, ensuring dependency management, retries, SLAs, and observability.
• Integrate pipelines with enterprise DevOps processes using GitLab and Azure DevOps for CI/CD automation. Version Control & Code Quality
• Manage code repositories using GitLab, including branching strategies, merge requests, code reviews, and approvals.
• Monitoring, Alerting & Performance Optimization
• Implement monitoring and alerting for ingestion pipelines, schema drift, replication, and
transformation workloads.
• Optimize Snowflake compute, storage, and query performance; scale ingestion pipelines to meet evolving data volume and latency requirements.
Required Skills & Experience:
• Deep expertise with Snowflake, including data masking policies, RBAC, performance tuning,
and advanced SQL.
• Strong experience with Qlik Replicate for CDC and database replication.
• Excellent proficiency in Python and Pyspark for ingestion frameworks and automation.
• Hands on experience with DBT Cloud and Astronomer Airflow.
• Experience with schema drift detection and schema evolution patterns.
• Experience with GitLab and CI/CD pipelines.
• Familiarity with Protegrity or similar data protection platforms.•
TCS Employee Benefits Summary
• Discretionary Annual Incentive.
• Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
• Family Support: Maternal & Parental Leaves.
• Insurance Options: Auto & Home Insurance, Identity Theft Protection.
• Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.
• Time Off: Vacation, Time Off, Sick Leave & Holidays.
• Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.
Salary Range: $115,000-$125,000 a year