Data QA Engineer III

Piper Companies is seeking a Data QA Engineer III to join an enterprise technology organization supporting a modern, cloud-based data platform. The Data QA Engineer III will lead the development and execution of a comprehensive data quality and validation strategy, ensuring accuracy and reliability across ETL/ELT pipelines, transformations, and reporting outputs. This is a fully remote position. Candidates must reside in the EST or CST time zone. Must be authorized to work in the United States.

Responsibilities for the Data QA Engineer III:

• Develop and execute data quality strategies across pipelines, models, and reporting layers
• Design and maintain automated tests for ETL/ELT workflows, transformations, and analytics outputs
• Write and optimize SQL queries for validation including reconciliation and data integrity checks
• Build regression test suites to ensure consistency across releases and backfills
• Implement data observability, monitoring, and alerting for anomalies and pipeline performance
• Troubleshoot data issues and perform root cause analysis across end-to-end data flows
• Integrate automated testing into CI/CD pipelines and deployment processes
• Collaborate with data engineering and BI teams to validate data models and reporting logic
• Document QA processes, testing frameworks, and validation standards
• Mentor team members and lead high-impact QA initiatives

Requirements for the Data QA Engineer III:

• 5+ years of experience in data engineering, data QA, or related role
• Hands-on experience testing data systems including ETL/ELT pipelines, transformations, and models
• Strong expertise in SQL and Python
• Experience with Azure and Fabric; Databricks or Snowflake experience is acceptable
• Experience with QA automation tools such as Cypress or Great Expectations
• Experience integrating testing within CI/CD pipelines and using version control systems such as Git
• Strong analytical and problem-solving skills with high attention to detail
• Background working in smaller environments with leadership experience
• experience supporting data validation for BI tools such as Power BI or Tableau
• Must be authorized to work in the United States

Compensation for the Data QA Engineer III:

• Salary range: $100,000 to $130,000, depending on experience
• Full benefits including medical, dental, vision, 401k, and PTO, sick leave as required by law

This job opens for applications on May 19th, 2026. Applications for this job will be accepted for at least 30 days from the posting date.

Keywords

Data QA Engineer, Data Quality Engineer, ETL Testing, Data Validation, Azure Data, Microsoft Fabric, SQL, Python, Data Pipelines, Data Observability, CI/CD, Databricks, Snowflake

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