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.

As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment.

Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities.### The Role

At Veeva Link, we're building the intelligence layer for life sciences, creating connected data applications that accelerate drug development and significantly improve patient outcomes. Our core belief: combining the highest quality data with state-of-the-art software delivers immense value.

We believe execution matters most. Progress comes from speed, accuracy, and quality in what we build every day. Our engineering approach emphasizes clear product definitions leading to meticulous technical designs. We leverage a modern tech stack to deliver inherently reliable applications and a great user experience.

As a Data Engineer, you will be responsible for the life cycle of the data that defines the healthcare landscape. You will design, build, and maintain the robust data pipelines required to ingest and process global Healthcare Organization (HCO) data. You will be a key architect in managing the complex hierarchical relationships of over 4 million entities, ensuring data integrity, scalability, and seamless delivery to downstream stakeholders.

We are an AI-forward team. We actively promote and integrate AI-driven development practices, leveraging LLMs and automation to accelerate our coding, optimize our pipelines, and stay at the forefront of the rapidly evolving data landscape. We expect you to embrace these technologies to enhance both your productivity and the product's capabilities.

What You'll Do

• You will architect the “Data DNA” used by global biopharmas to power AI driven insights and accelerate medical innovation
• You will be at the forefront of enabling global AI initiatives within high-stakes, high-impact environments
• You will design PySpark pipelines and collaborate on ML models to integrate diverse data into robust Lakehouse architecture
• Identify, implement, and maintain end-to-end HCO data pipelines
• Refine data structures and processing logic to meet the rapidly changing demands of the market
• Deploy solid principles and clean patterns to data engineering tasks
• Advance the long-term architectural roadmap
• Validate high quality and availability of HCO deliveries
• Govern and optimize the underlying infrastructure