Senior Data Engineer

🔥 17 hours ago

🇺🇸 United States – Remote

💵 zł177.5k - zł329.6k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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IQVIA

WebsiteLinkedInAll Job Openings

10,000+ employees

⚕️ Healthcare Insurance

🧬 Biotechnology

🤖 Artificial Intelligence

💰 $1G Post-IPO Debt on 2023-05

Healthcare Insurance • Biotechnology • Artificial Intelligence

IQVIA is a global leader in data analytics and technology solutions, dedicated to improving health outcomes. The company utilizes its Connected Intelligence platform to harness the power of advanced data analytics and artificial intelligence, facilitating innovation in healthcare. IQVIA focuses on various areas, including clinical research, technology, and consulting services to solve complex healthcare challenges and accelerate the delivery of new therapies to patients.

📋 Description

• 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 • Extend and maintain shared ETL frameworks, mapping configurations, and reusable patterns across hospital projects • Execute and monitor historical and incremental data loads, ensuring data quality and reliability • Implement data validation and quality checks as part of pipeline design • Troubleshoot ETL failures, performance issues, and data inconsistencies across environments • Collaborate with cross-functional teams (DM, Product, AI/ML, Support) to align on requirements and delivery timelines • Contribute to standardizing ETL patterns, improving monitoring, and reducing operational overhead • Support deployments and environment setup in on-premise hospital infrastructures • Provide technical guidance and mentoring to other team members where needed • Participate in planning, prioritization, and continuous improvement of team processes

🎯 Requirements

• 5 years of experience in data engineering, backend engineering, or a closely related field, with significant hands-on ETL exposure • Strong experience with Python for data engineering (modular, testable, scalable code) • Solid experience building and maintaining ETL pipelines end-to-end in production • Strong SQL skills (DDL/DML) and experience with relational databases (Microsoft SQL Server and/or PostgreSQL) • Experience integrating or transforming clinical or healthcare datasets • Experience troubleshooting data pipelines and working in production environments • Ability to handle complex data mappings and transformations • Experience working with on-premise environments and infrastructure constraints • Good understanding of data pipeline lifecycle (historical loads, incremental loads, monitoring, error handling) • Experience designing reusable ETL patterns that others can maintain and extend • Ability to communicate clearly with technical and non-technical stakeholders • Experience working in collaborative teams and contributing to technical discussions • Senior-level experience with willingness to take ownership and guide others

🏖️ Benefits

• Incentive plans • Bonuses • Health and welfare benefits