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Senior Data QA Tester (Snowflake & AWS)

San Francisco, CA-MissionSt, California, United States

Pay
$110,000–115,000/year — pay source
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.
Read the full posting
Work setting
Hybrid — work setting source
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.
Work setup in the employer’s posting: hybrid remote
From the employer’s posting
Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
Apply at Cognizant

What you’ll work on

Full posting

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.

Lead test strategy, planning, execution, and quality governance for large-scale data platforms and pipeline initiatives built on Snowflake and AWS.

Tools in this posting

  • SQL
  • AWS
  • Redshift
  • S3
  • Snowflake
  • Spark
  • PySpark
Source — Tool mentions in context
- 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.
- 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.
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.
- 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 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. Don’t hesitate to apply, even if you only meet the minimum requirements listed. 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.

Posting record

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Status in our records
Live
First seen by us
Oct 15, 2026 · 14 days ago
Recorded sightings
49
Last seen by us
Oct 29, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

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Job description

View original posting ↗

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. Don’t hesitate to apply, even if you only meet the minimum requirements listed. 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.

Source details

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Source notes

Source excerpts

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Pay
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.
Location & working pattern

San Francisco, CA-MissionSt, California, United States

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:
More source context
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.
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