Sr. Data QA Tester (Snowflake & AWS)

Cognizant; San Francisco (CA); Híbrido; USD 110.000 - 115.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

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

Descripción de la vacante

Cognizant Technology Solutions Corporation is seeking a Senior Data QA Tester to ensure the quality and reliability of enterprise-scale data platforms and pipelines across cloud and hybrid environments. You will lead test strategy, develop automated validation frameworks, and collaborate with data engineers and stakeholders to deliver trusted data solutions.

The role requires 10+ years in software testing and strong Snowflake and AWS experience, with a hybrid work model in San Francisco.

Formación

• 10+ years in software testing, data QA, or related field.
• Hands-on Snowflake testing including data loads and validation.
• Hands-on PySpark, Spark SQL, and advanced SQL scripting.
• Experience testing ETL/ELT, big data, and cloud data pipelines.
• Expertise in test automation, data validation, reconciliation, and defect management.
• Experience with AWS data services (S3, Glue, EMR, Redshift, Lambda).
• Strong communication and stakeholder management across teams.
• Experience in Energy & Utilities industry.

Responsabilidades

• Lead test strategy, planning, execution, and quality governance for large-scale data platforms and pipeline initiatives.
• Develop and maintain automated validation frameworks for data ingestion, transformation, reconciliation, schema validation, and data quality testing.
• Execute and oversee functional, integration, regression, performance, and cloud-based testing activities.
• Collaborate with cross-functional teams to define acceptance criteria, identify defects, and drive resolution throughout the development lifecycle.
• Monitor quality metrics, automation effectiveness, and defect trends while promoting testing best practices and continuous improvement.

Conocimientos

Snowflake testing

PySpark

Spark SQL

SQL scripting

AWS data services

Data quality testing

Test automation

Data validation

Reconciliation

Defect management

QA methodologies

Stakeholder communication

Energy & Utilities industry

Herramientas

Snowflake

Palantir Foundry

AWS

Descripción del empleo

About the role

As a Senior Data QA Tester, you will make an impact by ensuring the quality, reliability, and accuracy of enterprise-scale data platforms and data pipelines across cloud and hybrid environments. You will be a valued member of the Data Engineering and Quality Assurance team, working closely with architects, data engineers, product owners, and business stakeholders to deliver trusted data solutions that support critical business decisions.

In this role, you will:

• Lead test strategy, planning, execution, and quality governance for large-scale data platforms and pipeline initiatives built on Snowflake and AWS.
• Develop and maintain automated validation frameworks for data ingestion, transformation, reconciliation, schema validation, and data quality testing.
• Execute and oversee functional, integration, regression, performance, and cloud-based testing activities.
• Collaborate with cross-functional teams to define acceptance criteria, identify defects, and drive resolution throughout the development lifecycle.
• Monitor quality metrics, automation effectiveness, and defect trends while promoting testing best practices and continuous improvement.

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 attendance in a client or Cognizant office in San Francisco, California. 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:

• 10+ years of experience in software testing, data quality assurance, data engineering, or a related field.
• Strong hands-on experience with Snowflake, including testing data loads, transformations, and validation using Snowflake SQL.
• Strong hands-on experience with PySpark, Spark SQL, and advanced SQL scripting.
• Experience testing ETL/ELT processes, big data environments, cloud platforms, and enterprise data pipelines.
• Proven expertise in test automation, data validation, reconciliation, defect management, and quality assurance methodologies.
• Experience working with AWS-based data services (e.g., S3, Glue, EMR, Redshift, Lambda) and distributed data processing platforms.
• Strong communication and stakeholder management skills with the ability to collaborate across technical and business teams.
• Experience within the Energy & Utilities industry.

These will help you stand out:

• Experience with Palantir Foundry for data integration, transformation, and validation.
• Background leading QA initiatives for enterprise-scale data modernization programs.
• Knowledge of data profiling, anomaly detection, and performance testing practices.
• Experience mentoring QA teams and establishing testing standards and governance frameworks.
• Relevant certifications in Snowflake (e.g., SnowPro), AWS, Palantir Foundry, big data, or software testing.

We’re excited to meet people who share our mission and can make an impact in a variety of ways.

Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.

Salary and Other Compensation

Applications will be accepted until November 08, 2026

The annual salary for this position is between $ 110,000 - $ 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: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:

• 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.