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.
Required Experience
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).
Preferred Experience
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 https://jobs.iqvia.com
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. https://jobs.iqvia.com/eoe
IQVIA 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.
The potential base pay range for this role, when annualized, is $103,300.00 - $287,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.
