Staff Data Platform Engineer - Healthcare Data & AI

IQVIA Inc; Wayne (PA); Presencial; USD 103.000 - 288.000; Jornada completa

Descripción de la vacante

IQVIA is hiring a Staff Software Engineer in Wayne, PA to onboard, transform, and provision large-scale patient data into the Scion Platform. You will craft scalable data pipelines using Snowflake on Azure, collaborate with data suppliers, and deliver production-ready data products for IQVIA clients and internal teams.

The role blends software and data engineering with healthcare domain expertise, cloud technologies, and AI-assisted development to improve data quality, automation, and system

Formación

• 5-10 years of experience with large scale data integration and data movement.
• Lead architecture and coordinate cross-functional/offshore teams.
• Proficient in Snowflake, Spark, Scala, Python, and Linux shell scripting.
• Experience with AI tools and LLM integration a plus.

Responsabilidades

• Collaborate with data suppliers and stakeholders to understand data models.
• Design, develop, and maintain scalable data pipelines ingesting healthcare data.
• Build and optimize ETL/ELT processes for high-volume data workflows.
• Develop automated data quality, validation and monitoring frameworks.
• Participate in Agile ceremonies and code reviews.
• Contribute to CI/CD, testing, and deployment automation.

Conocimientos

Large-scale data integration

Scrum leadership

Snowflake on Azure

Spark/Scala/Python

AI tools (Cursor)

Git / CI/CD

Data quality & testing

Herramientas

Cursor

Azure

Git

Apache Spark

Descripción del empleo

IQVIA is hiring a Staff Software Engineer in Wayne, PA to onboard, transform, and provision large-scale patient data into the Scion Platform. You will craft scalable data pipelines using Snowflake on Azure, collaborate with data suppliers, and deliver production-ready data products for IQVIA clients and internal teams.

The role blends software and data engineering with healthcare domain expertise, cloud technologies, and AI-assisted development to improve data quality, automation, and system