Staff Software Development Engineer · IT Design & Development
About The Position
The Staff Software Engineer will support the onboarding, transformation, integration, and provisioning of large-scale patient-level healthcare datasets into core data assets powering the IQVIA Scion Platform. The role combines software engineering, data engineering, cloud technologies, and healthcare domain expertise to deliver scalable, high-quality data products for IQVIA’s commercial and analytical offerings. The engineer will work with internal stakeholders and external data suppliers to understand healthcare data assets, business requirements, data models, and source systems. They will use that knowledge to design, develop, and optimize solutions that transform raw healthcare data into production-ready products for IQVIA clients and internal analytical teams. The position also offers an opportunity to help transform data and create applications on a next-generation patient platform. The role includes technical leadership and coordination with cross-functional and offshore teams, including leading development in Scrum and helping teams complete sprint and PI objectives. Snowflake on Azure is the primary enterprise data platform, with support for legacy Hadoop environments. The position also involves collaboration with engineering, architecture, data management, and DevOps teams, and participation in Agile ceremonies and technical reviews.
Requirements
- 5–10 years of experience with large-scale data integration and data movement activities.
- Experience leading architecture and coordinating development with cross-functional and offshore teams.
- Ability to function as a development lead in Scrum and lead a team to complete sprint and PI objectives.
- Cloud architecture and hands-on development experience with Snowflake.
- Programming experience with Spark, Scala, Python, SQL, and Linux shell scripting is identified as a plus alongside Hadoop experience.
- Experience building code with AI tools, especially Cursor.
- Performance tuning experience.
- Experience using Git and collaborating on CI/CD, automated testing, deployment automation, and release management processes.
Nice To Haves
- Experience with Databricks or Redshift.
- Experience with Hadoop and Apache Spark.
- Experience working with healthcare, pharmacy, claims, clinical trial, Electronic Medical Record (EMR), or longitudinal patient data.
- Experience in healthcare analytics environments.
- Experience with claims processing and claims engine platforms, Real-World Data (RWD) platforms, or healthcare research data platforms.
- Experience with healthcare data integration and patient-level data warehousing.
- Experience working with LLMs and building functionality with AI agents.
Responsibilities
- Collaborate 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, reusable data pipelines to ingest, transform, validate, and provision healthcare data from internal and external cloud-based sources.
- Develop large-scale data processing solutions using Snowflake on Azure and support legacy Hadoop environments using Apache Spark and Scala.
- Design and implement ETL/ELT frameworks and data movement solutions for high-volume healthcare datasets.
- Partner with engineering, architecture, data management, and DevOps teams to design solutions and resolve data integration and pipeline challenges.
- Develop automated data quality frameworks, validation procedures, trend analysis reporting, and monitoring solutions.
- Write clean, maintainable, reusable code with attention to scalability, performance, and operational supportability.
- Use Git and collaborate with DevOps teams on CI/CD pipelines, automated testing, deployment automation, and release management.
- Participate in Agile activities, 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.
- Use AI-assisted development tools, including Cursor and similar technologies, to improve development productivity, code quality, quality assurance, and data analysis.
- Lead development activities in Scrum and coordinate cross-functional and offshore teams to complete sprint and PI objectives.
Benefits
- A range of health and welfare benefits may be offered, depending on the position.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
