QA Lead Data Testing (Snowflake, Databricks, Azure)
Our client is seeking a QA Lead to help drive quality across a large-scale data engineering and analytics initiative. This is a highly hands-on role for someone who is equally comfortable writing complex SQL, validating data transformations and ETL/ELT pipelines, and leading a small QA team. You ll join a new workstream from the ground up and play an important role in establishing testing practices, validating data across modern cloud platforms, and helping evolve the team from manual testing toward greater automation.
As part of our process after applying, you may receive an invitation from our AI Recruiter Avery for a short conversation that lets you share more about your background beyond your resume. For questions, contact .
Location: Remote (Must be able to work Eastern Time hours)
Compensation: This job is expected to pay about $55-60 per hour W2
No Visa Sponsorship Available for this role
What You ll Do:
- Lead hands-on QA efforts for data engineering and analytics solutions, with a primary focus on back-end data testing, ETL/ELT pipelines, data transformations, data quality, and business-rule validation.
- Write and execute SQL-based test cases to validate complex datasets and perform source-to-target reconciliation between new and legacy systems using mapping documentation.
- Validate data across Snowflake, Databricks, Azure Data Factory, Azure Data Lake, and medallion architecture layers, identifying data quality issues and supporting root-cause analysis.
- Help establish a new QA workstream from the ground up, contribute to testing strategy and architecture discussions, and support the transition from manual testing toward reusable data-testing automation and cross-system reconciliation.
- Lead and mentor junior QA resources, review test cases and Jira tickets for completeness and edge-case coverage, and represent QA during Agile ceremonies, business discussions, and go-live activities.
What Gets You the Job:
- 7+ years of QA experience with a strong background in data warehouse, ETL/ELT, data quality, or back-end data testing, including prior experience leading or mentoring QA team members.
- Advanced hands-on SQL skills with the ability to independently write queries and create test cases for complex data validation, transformation, reconciliation, and business-rule testing.
- Strong hands-on Snowflake experience along with experience testing modern data platforms using technologies such as Databricks, Azure Data Factory, and Azure Data Lake.
- Strong experience with source-to-target mapping, data reconciliation, data transformation validation, data quality testing, and modern data architectures such as bronze, silver, and gold layers.
- Experience with test automation and the ability to help move a manual-heavy QA environment toward greater automation; exposure to Streamlit, Python/PyTest, CI/CD, or other automation technologies is highly valued.
This is a great opportunity to take ownership of QA within a new data workstream while remaining deeply hands-on with modern cloud data technologies. Apply today to learn more.
Irvine Technology Corporation (ITC) connects top talent with exceptional opportunities in IT, Security, Engineering, and Design. From startups to Fortune 500s, we partner with leading companies nationwide. Our AI recruiter, Avery helps streamline the first step of your journey so we can focus on what matters most: helping you grow. Join us. Let us ELEVATE your career!
Irvine Technology Corporation provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics. In addition to federal law requirements, Irvine Technology Corporation complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
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