QA Automation Engineer – Enterprise Data & AI

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Automation Engineer – Enterprise Data & AI based in the United States.

This role sits at the intersection of quality engineering, data validation, and modern cloud data platforms, ensuring the reliability and accuracy of enterprise-scale data pipelines. You will work within a Databricks-powered ecosystem to validate complex data transformations, ingestion flows, and business rules across large datasets.
The position plays a critical role in strengthening data quality frameworks that support analytics, reporting, and downstream business decision-making.
You will collaborate closely with data engineers and quality teams to identify issues, improve test coverage, and enhance automated validation processes.
A strong focus is placed on building scalable, reusable automation within CI/CD pipelines and ensuring consistent data integrity across environments.
This is a hands-on engineering role in a fast-paced, data-driven environment where precision and automation directly impact enterprise data trust.
You will contribute to the evolution of modern data quality practices across a cloud-based data platform.

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a QA Automation Engineer – Enterprise Data & AI based in the United States.

This role sits at the intersection of quality engineering, data validation, and modern cloud data platforms, ensuring the reliability and accuracy of enterprise-scale data pipelines. You will work within a Databricks-powered ecosystem to validate complex data transformations, ingestion flows, and business rules across large datasets.
The position plays a critical role in strengthening data quality frameworks that support analytics, reporting, and downstream business decision-making.
You will collaborate closely with data engineers and quality teams to identify issues, improve test coverage, and enhance automated validation processes.
A strong focus is placed on building scalable, reusable automation within CI/CD pipelines and ensuring consistent data integrity across environments.
This is a hands-on engineering role in a fast-paced, data-driven environment where precision and automation directly impact enterprise data trust.
You will contribute to the evolution of modern data quality practices across a cloud-based data platform.

We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.

We appreciate your interest and wish you the best!

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