Data Engineer (Data Operations), IQVIA Digital (Remote)
Core
Building, maintaining, and optimizing downstream data pipelines and analytics-ready datasets to power business intelligence and reporting for the healthcare marketing landscape.
Role type
Data Engineer (Data Operations)
Builds
Analytics-ready data models, tables, and curated data layers for BI and reporting tools.
Domain
Healthcare / Life Sciences / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Snowflake, SQL, Python, ETL/ELT tools, data modeling, data warehousing, root cause analysis, CI/CD, Git
Preferred skills
R, healthcare/pharmaceutical/life sciences data experience
Technologies
Snowflake, SQL, Python, Airflow, Atomic
Responsibilities
Build and maintain curated data layers and data sources; Develop and optimize SQL- and Python-based transformations in Snowflake; Troubleshoot data quality issues originating from upstream pipelines; Validate incoming datasets for accuracy and completeness; Design and manage analytics-ready data models and tables; Monitor data pipelines for failures and anomalies; Support production operations including incident management and SLA adherence.
Seniority
Mid-level, hands-on IC