Staff Software Developer

The Staff Software Engineer will play a critical role in the onboarding transformation integration and provisioning of large-scale patient-level healthcare datasets into core data assets that power the IQVIA Scion Platform.

This role requires a strong combination of software engineering data engineering cloud technologies and healthcare domain expertise to deliver scalable high-quality data products that support IQVIAs commercial and analytical offerings.

The ideal candidate will work closely with internal stakeholders and external data suppliers to gain a deep understanding of healthcare data assets business requirements and data models. Leveraging this knowledge the candidate will design develop and optimize data-driven solutions that transform raw healthcare data into production-ready products that can be utilized by IQVIA clients and internal analytical teams.

This position will have growth opportunity to help transform data and create applications on our next generation patient platform.

• Collaborate directly with external data suppliers and internal stakeholders to understand data content business rules data models and source system characteristics.
• Analyze and integrate complex healthcare datasets including claims pharmacy EMR and longitudinal patient-level data into enterprise data assets.
• Design develop and maintain scalable and reusable data pipelines that ingest transform validate and provision healthcare data from internal and external cloud-based sources.
• Develop large-scale data processing solutions utilizing Snowflake on Azure as the primary enterprise data platform while supporting legacy Hadoop environments leveraging Apache Spark and Scala.
• Design and implement robust ETL/ELT frameworks and data movement solutions capable of processing high-volume healthcare datasets efficiently and reliably.
• Partner with cross-functional engineering architecture data management and DevOps teams to design solutions and resolve complex data integration and pipeline challenges.
• Develop automated data quality frameworks validation procedures trend analysis reporting and monitoring solutions to ensure data accuracy completeness consistency and reliability.
• Build clean maintainable and reusable code using software engineering best practices emphasizing scalability performance and operational supportability.
• Utilize Git source control and collaborate with DevOps teams to implement CI/CD pipelines automated testing deployment automation and release management processes.
• Participate actively in Agile development processes including sprint planning daily stand-ups backlog refinement retrospectives and other Scrum ceremonies.
• Contribute to technical design reviews architecture discussions peer code reviews and engineering best practice initiatives.
• Leverage AI-assisted development tools including Cursor and similar technologies to improve software development productivity code quality quality assurance processes and data analysis activities.

• 5-10 years of experience with large scale data integration and data movement activities.
• Experience Lead architecture and coordination with cross functional and offshore teams to lead development. The candidate be able to function as development lead in scrum and lead the team to finish sprint/PI objectives.
• Cloud architecture and hands-on development: Snowflake (needed) Databricks/Redshift (a plus)
• A big plus also is also Hadoop with programming experience in: Spark Scala Python SQL Linux shell scripting
• Building code with AI tools especially Cursor.
• Review Performance tuning experience.
• Experience working with LLM and building functionality with AI agents (Preferred).

• Experience working with healthcare pharmacy claims clinical trial Electronic Medical Record (EMR) or longitudinal patient data.
• Experience in healthcare analytics environments preferred.
• Experience in claims processing and claims engine platforms or Real-World Data (RWD) platforms or healthcare research data platforms.
• Experience with healthcare data integration and Patient-Level Data warehousing.

IQVIA is a leading global provider of clinical research services commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin disability status as a protected veteran or any other status protected by applicable law. is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements misrepresentations or material omissions during the recruitment process will result in immediate disqualification of your application or termination of employment if discovered later in accordance with applicable law. We appreciate your honesty and professionalism.