Data QA Tester – Azure Data Platform

Cognizant; Salt Lake City (UT); Hybrid; USD 80,000 - 115,000; Full time

Benefits offered by this job

Medical/Dental/Vision/Life

401(k) plan

Paid holidays + PTO

Disability Insurance

Parental Leave

Employee Stock Purchase Plan

Job summary

Cognizant is hiring a Data QA Tester — Azure Data Platform in a hybrid role in Salt Lake City, UT. You will validate data pipelines, ensure data quality across cloud-based platforms, and collaborate with data engineers and analysts to deliver reliable insights.

Required are 5+ years in data testing with strong skills in Azure Databricks (Delta Lake, Delta Live Tables, Unity Catalog), Azure Data Factory, Python, PySpark, and SQL. Experience with Power BI validation and data governance is a plus.

Qualifications

• 5 years of experience in data testing, quality assurance, data validation, or quality engineering.
• Strong expertise in Azure Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog.
• Hands‑on experience with Azure Data Factory, including pipeline validation, monitoring, and testing activities.
• Proficiency in Python, PySpark, and SQL for data validation, test automation, and reconciliation.
• Experience testing enterprise data pipelines, ETL/ELT processes, data warehouses, and cloud‑based data platforms.

Responsibilities

• Execute data validation and testing activities across enterprise data platforms, data warehouses, and cloud‑based analytics solutions.
• Validate data ingestion, transformation, and integration processes to ensure data accuracy and completeness.
• Develop and execute manual and automated test cases using SQL, Python, and PySpark.
• Perform data reconciliation, data quality checks, and reporting validation for business and operational data.
• Collaborate with business and technical teams to troubleshoot issues and support project delivery.

Skills

SQL

Python

PySpark

Azure Databricks

Delta Lake

Delta Live Tables

Unity Catalog

Azure Data Factory

Test automation

Data validation

Tools

Azure DevOps

CI/CD

Power BI

Collibra

Job description

Data QA Tester — Azure Data Platform

About the role

As a Data QA Tester , you will make an impact by ensuring the accuracy, quality, and reliability of enterprise data platforms and business‑critical data assets. You will be a valued member of the Data & Analytics team and work collaboratively with data engineers, business analysts, architects, and stakeholders to validate data pipelines, integrations, and reporting solutions across cloud-based environments.

In this role, you will:

• Execute data validation and testing activities across enterprise data platforms, data warehouses, and cloud-based analytics solutions.
• Validate data ingestion, transformation, and integration processes to ensure data accuracy, completeness, and consistency.
• Develop and execute manual and automated test cases using SQL, Python, and PySpark.
• Perform data reconciliation, data quality checks, and reporting validation for business and operational data.
• Collaborate with business and technical teams to troubleshoot issues, validate requirements, and support successful project delivery.

Work model

We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring time in a Cognizant or client office as determined by project and business needs. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our various wellbeing programs.

The working arrangements for this role are accurate as of the date of posting. This may change based on the project you’re engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.

What you need to have to be considered

• 5 years of experience in data testing, quality assurance, data validation, or quality engineering.
• Strong expertise in Azure Databricks, including Delta Lake, Delta Live Tables, and Unity Catalog.
• Hands‑on experience with Azure Data Factory, including pipeline validation, monitoring, and testing activities.
• Proficiency in Python, PySpark, and SQL for data validation, test automation, and reconciliation.
• Experience testing enterprise data pipelines, ETL/ELT processes, data warehouses, and cloud‑based data platforms.
• Familiarity with Power BI reporting validation and analytics testing.
• Knowledge of data governance, data quality frameworks, metadata management, and PII compliance requirements.
• Experience with Azure DevOps, CI/CD practices, and testing within cloud‑based delivery environments.
• Strong analytical, troubleshooting, communication, and problem‑solving skills.

These will help you stand out

• Experience testing ERP, CRM, and HRIS applications such as Workday and PeopleSoft.
• Experience with Collibra or similar data governance and cataloging platforms.
• Familiarity with cloud data modernization and enterprise data migration initiatives.
• Knowledge of data lineage, metadata management, and data quality monitoring processes.
• Experience supporting reporting, analytics, and business intelligence validation efforts.
• Exposure to Agile delivery methodologies, including Scrum and Kanban.

Salary and Other Compensation

Applications will be accepted until August 21,2026

The annual salary for this position is between $80,000- $115,000 depending on experience and other qualifications of the successful candidate.

This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.

Benefits

• Medical/Dental/Vision/Life Insurance
• Paid holidays plus Paid Time Off
• 401(k) plan and contributions
• Long‑term/Short‑term Disability
• Paid Parental Leave
• Employee Stock Purchase Plan

Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.

Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.