Job Description Insight Global is seeking a Data Quality Engineer for a large enterprise client operating within a modern Azure-based cloud data ecosystem. This individual will play a critical role in ensuring the quality, integrity, performance, and security of Snowflake data warehouse solutions. The engineer will partner closely with data engineers, BI teams, and product owners to validate complex ETL/ELT pipelines, automate data quality checks, and support CI/CD deployments. This role is ideal for a detail-oriented QA professional with strong SQL, Snowflake, and Azure experience who thrives in enterprise-scale, data-driven environments. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce : Skills and Requirements \- 4-7 years of experience in a Data Quality, Data QA or Data Tester role. \- Experience performing SQLbased data validation in Snowflake using complex joins, aggregations, and window functions. \- Experience with sourcetotarget testing across ELT pipelines, validating transformations and business rules. \- Experience performing regression testing to protect downstream reports and analytics \- Experience logging defects and collaborate with Data Engineers and Analytics teams to resolve data issues. \- Experience working in an Azure cloud environment, with a solid understanding of Azure data and integration services. \- Experience using Python and/or PowerShell for data validation or scripting. \- Experience validating data used in Power BI reports or dashboards. \- Must be able to work Pacific Standard Time hours.

The role requires 4-7 years of experience in a Data Quality, Data QA, or Data Tester position. Candidates must have experience performing SQL-based data validation in Snowflake, utilizing complex joins, aggregations, and window functions. Experience with source-to-target testing across ELT pipelines, validating transformations and business rules, is necessary. The position also requires experience performing regression testing to protect downstream reports and analytics, logging defects, and collaborating with Data Engineers and Analytics teams to resolve data issues. Experience working in an Azure cloud environment with a solid understanding of Azure data and integration services is needed. Additionally, experience using Python and/or PowerShell for data validation or scripting, and validating data used in Power BI reports or dashboards, is required. Candidates must be able to work Pacific Standard Time hours.