IQVIA Digital powers exceptional brand experiences, delivering innovative solutions based on a customer-first, insights-driven, and integrated omnichannel vision. We provide authenticated, privacy-enhanced data and analytics, innovative fit-for-purpose healthcare technology, and the expertise to enable an effective and adaptable marketing model that drives better quality of care and patient outcomes. IQVIA is the leading global provider of data, advanced analytics, technology solutions and clinical research services for the life sciences industry. Learn more at www.iqviadigital.com
Join a newly formed team focused on modernizing legacy applications into scalable, cloud-native platforms that support digital marketing campaigns and healthcare provider engagement. You’ll collaborate with colleagues across the globe, working in a dynamic and innovative environment.
The core technology stack for this role centers on Snowflake as the primary data platform, with SQL used for query development and optimization, and Python for data pipeline development and integration. You’ll also work with AWS cloud infrastructure, Terraform, Airflow, API integrations, and other modern data tools. This is a hands-on engineering position responsible for building, optimizing, and maintaining data solutions that directly support business needs ideal for someone who enjoys direct technical problem-solving and hands-on development in a fast-paced environment.
Essential Functions:
- Design and develop scalable ETL/ELT solutions and data architectures (data lakes, data warehouses).
- Write and optimize Snowflake queries and procedures.
- Develop and maintain SQL code for data processing and analytics.
- Build and maintain Python-based data pipelines and integrations.
- Integrate with email service providers and healthcare data sources via APIs.
- Participate in development efforts and coordinate with offshore teams.
- Conduct code reviews and ensure adherence to coding standards.
- Support CI/CD processes using tools like Terraform and Airflow.
- Maintain high standards of data quality and integrity across healthcare datasets.
- Provide support for production data load, including monitoring the pipelines as needed.
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- 2+ years of experience in data engineering or similar role.
- Strong proficiency in Snowflake and query optimization.
- Advanced SQL skills.
- 2+ years of experience in Python (PySpark a plus).
- Experience with data pipeline tools (e.g., Apache Airflow, dbt, Kafka, Spark).
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 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.