Senior Data Engineer
About The Position
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 Imagine shaping the future of healthcare through data. At IQVIA, we harness the power of advanced analytics and cutting-edge technology to improve patient outcomes worldwide. As a Senior Data Engineer, you’ll lead the design of scalable data solutions, mentor talented engineers, and work on projects that truly make an impact. Join a global team that values innovation, collaboration, and your growth—while giving you the flexibility to work remotely and the tools to thrive. As a Senior Data Engineer, you will play a key role in building and optimizing data pipelines that power IQVIA’s forecasting and analytics platforms. You’ll work across a global engineering organization, collaborating with product managers, front-end and back-end developers, and fellow data engineers. This role combines hands-on coding with leadership responsibilities, ensuring adherence to architectural standards and coaching junior team members.
Requirements
- Bachelor’s degree in Computer Science or related field.
- 5+ years of experience in data engineering, including at least 2–3 years in a senior-level role.
- Proficiency in Python and SQL.
- Hands-on experience with cloud platforms: Google Cloud and AWS preferred; Azure acceptable.
- Strong understanding of data warehousing concepts; experience with BigQuery or similar technologies.
- Ability to communicate complex technical concepts clearly to peers and stakeholders.
Nice To Haves
- Experience with JavaScript (legacy code support).
- Familiarity with Snowflake or other modern data platforms.
- Exposure to AI/ML concepts and interest in applying them to data engineering.
- Healthcare industry experience is a plus.
Responsibilities
- Design, develop, and optimize data pipelines and workflows for large-scale analytics and audience forecasting.
- Work across the application stack, focusing primarily on backend data engineering.
- Ensure code quality through reviews, testing, and adherence to best practices.
- Collaborate with global engineering pods to maintain consistent coding standards.
- Mentor and guide junior engineers and contractors, fostering technical growth.
- Partner with product managers and peers to translate business requirements into scalable solutions.
Benefits
- flexibility to work remotely
- tools to thrive
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
5,001-10,000 employees
