Data Engineer - Link Key People

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.

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

Own monitoring, logging, and performance metrics from day one

A proactive interest in using AI tools to streamline development and solve complex data problems

Experience with Python and Apache Spark/PySpark to handle massive datasets

Expertise in building cloud-native software within AWS or GCP

Background in designing and maintaining modern architectures, specifically Data Lakes, Lakehouses and Warehouses (DeltaLake, Redshift)

Experience operating LLM systems in production, including third-party model providers, human/data feedback loops, and multi-model traffic orchestration

Driving technical execution within Agile environments, utilizing strong English communication skills to align with global stakeholders

Comprehensive benefits package

Fitness reimbursement

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