Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Automation Engineer - Data in the United States.
This role sits at the intersection of quality engineering, data reliability, and automation excellence within a fast-scaling analytics environment. You will be responsible for ensuring the accuracy, consistency, and trustworthiness of large-scale data pipelines powering mission-critical SaaS products. Working closely with data engineering, analytics, and product teams, you will design and implement robust automated testing frameworks across complex ETL/ELT workflows. The role involves deep validation of data flows across cloud-based platforms and modern data stacks, with a strong focus on scalability and reusability. You will help strengthen data quality practices across the organization while enabling faster, safer delivery of analytics and AI-driven capabilities. This is a high-impact position where your work directly influences the reliability of enterprise data systems.
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a QA Automation Engineer - Data in the United States.
This role sits at the intersection of quality engineering, data reliability, and automation excellence within a fast-scaling analytics environment. You will be responsible for ensuring the accuracy, consistency, and trustworthiness of large-scale data pipelines powering mission-critical SaaS products. Working closely with data engineering, analytics, and product teams, you will design and implement robust automated testing frameworks across complex ETL/ELT workflows. The role involves deep validation of data flows across cloud-based platforms and modern data stacks, with a strong focus on scalability and reusability. You will help strengthen data quality practices across the organization while enabling faster, safer delivery of analytics and AI-driven capabilities. This is a high-impact position where your work directly influences the reliability of enterprise data systems.
