IQVIA
Healthcare
SeniorDataEngineer
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“Senior Data Engineer at IQVIA. Skills: Data Integration, ETL Pipelines, Healthcare Data. Design ETL pipelines. Build ETL pipelines”
Industry & Context.
Troubleshooting; Data problems
Occasional access to hospital systems via VPN, On-site setup may be required
What They're Looking For.
Must Have
5 years of experience in data engineering, 5 years of experience in backend engineering, Significant hands-on ETL exposure, Python for data engineering, Building and maintaining ETL pipelines end-to-end in production, SQL skills (DDL/DML), Experience with relational databases, Experience integrating clinical datasets, Experience transforming clinical datasets, Experience troubleshooting data pipelines, Experience working in production environments, Ability to handle complex data mappings, Ability to handle complex data transformations, Experience working with on-premise environments, Experience with infrastructure constraints, Understanding of data pipeline lifecycle, Experience designing reusable ETL patterns, Ability to communicate clearly with technical stakeholders, Ability to communicate clearly with non-technical stakeholders, Experience working in collaborative teams, Contributing to technical discussions, Senior-level experience, Willingness to take ownership, Willingness to guide others
Nice to Have
Experience with orchestration tools, Knowledge of healthcare data standards, Experience with monitoring data pipelines, Experience with support models for data pipelines, Familiarity with EHR systems, Familiarity with hospital source data models, Experience with DevOps practices, Exposure to data quality frameworks, Exposure to validation strategies, Experience with schema migrations, Experience with versioned database changes, Experience mentoring technical initiatives, Experience leading technical initiatives
What You'll Do.
Maintain ETL pipelines
Integrate hospital data
Work with healthcare data sources
Map data to target models
Extend ETL frameworks
Maintain ETL frameworks
Extend mapping configurations
Maintain mapping configurations
Extend reusable patterns
Execute historical data loads
Execute incremental data loads
Monitor historical data loads
Monitor incremental data loads
Implement data validation checks
Implement quality checks
Troubleshoot ETL failures
Troubleshoot performance issues
Troubleshoot data inconsistencies
Collaborate with cross-functional teams
Align on requirements
Align on delivery timelines
Contribute to standardizing ETL patterns
Reduce operational overhead
Support environment setup
Provide technical guidance
Participate in planning
Participate in prioritization
Participate in continuous improvement
How You'll Work.
Team & Collaboration
Cross-functional teams; Data Management team; Product teams; AI/ML teams; Support teams; Collaborative environments
Communication Scope
Communicate technical concepts
Process & Methodology
Prioritization, Continuous improvement
Full Job Description
**Data Integration Team – Senior Data Engineer** **About the Data Integration Team (DIT)** The Data Integration Team (DIT) is responsible for onboarding and integrating healthcare data from hospitals into the IQVIA ecosystem. We design, build, and operate robust ETL pipelines that transform complex clinical data into structured, high-quality datasets used by downstream applications such as data warehouses, analytics platforms, and machine learning solutions. Our work primarily focuses on on-premise hospital environments, interacting with a wide variety of Electronic Health Record (EHR) systems and heterogeneous data sources. We collaborate closely with the Data Management team, Product, AI/ML, and Support teams to ensure reliable data delivery and continuous improvement of our integration processes. DIT operates at the intersection of engineering, healthcare, and operations, combining delivery, troubleshooting, and continuous optimization of ETL pipelines across multiple international projects. You will work within a standardized ETL framework used across hospital integrations—extending reusable patterns while adapting to site-specific source systems, data models, and deployment constraints. **What we are looking for** We are looking for a Senior Data Engineer who combines strong technical expertise with ownership and a proactive mindset. You will play a key role in designing and developing data integration pipelines, while also supporting ongoing operations and contributing to improvements in scalability, reliability, and maintainability. In addition to hands-on development, we are looking for someone who can: * Guide technical decisions * Support and mentor other engineers * Contribute to structuring and improving team processes **Your Responsibilities** * Design, build, and maintain ETL pipelines to integrate hospital data into the IQVIA ecosystem * Work with complex healthcare data sources (EHR systems, flat files, APIs) and map them to target data models * Exte
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