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Posted 8 mo agoFirst seen 13 d ago
QA Automation Engineer - CDH
Posted by Veeva Systems on 18 February 2026, 246 days ago. Still on their Lever board when we checked 5 min ago. Half of Veeva Systems's roles come down within 329 days.
What the posting is about
Join Veeva Systems to ensure the quality of our data infrastructure. Work with Java and Spark to connect and analyze vast, privacy-protected datasets in the cloud. Help life sciences companies make strategic decisions and improve patient outcomes.
Read out of the posting
LevelNot stated
Experience askedNot stated
EmploymentNot stated
LocationIsrael - Kiryat Ono
RemoteNot stated
Visa sponsorshipNot stated
SalaryNot published, and most postings do not
Posted2026-02-18
Found vialever, direct from their system
We saw it 8 months after it went up.
The posting, as the company wrote it
Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $3B in revenue in our last fiscal year with extensive growth potential ahead.
At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors.
Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.
The Role
The Crossix Data Platform is a framework that connects vast patient healthcare data from multiple sources daily, utilizing privacy-safe methodologies to maintain a current view of the US healthcare market. Positioned at the intersection of Big Data and innovative technology, it provides life sciences companies with the insights needed to make strategic business decisions and drive improved patient outcomes.
As a QA automation engineer, you will take a leading part in assuring the quality of our infrastructure for connecting and analyzing huge, privacy protected datasets in the cloud using Java, Spark, and other technologies.
Copied from Veeva Systems’s own board, not rewritten. Original ↗
Also open at Veeva Systems
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