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
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
Operating model
This is a hands-on senior role with a mix of project delivery and production support. You will spend meaningful time building and extending pipelines, while also troubleshooting live integrations, supporting incremental and historical loads, and helping stabilize deployments in on-premise hospital environments. Remote-first collaboration is the norm; occasional access to hospital systems via VPN or on-site setup may be required depending on the project.
Your Profile
You are a hands-on engineer with a strong sense of ownership and curiosity. You enjoy working on complex data problems and navigating imperfect or evolving environments.
You are comfortable balancing delivery, support, and technical improvement, and you can clearly communicate technical concepts to both technical and non-technical stakeholders.
You thrive in collaborative environments and are motivated to improve not only systems, but also the way teams work.
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
Nice to have
Experience with orchestration tools (e.g. Prefect, Airflow, Luigi)
Knowledge of healthcare data standards (FHIR, OMOP)
Experience with monitoring and support models for data pipelines
Familiarity with EHR systems and hospital source data models
Experience with DevOps practices (CI/CD, automation, containerization)
Exposure to data quality frameworks and validation strategies
Experience with schema migrations and versioned database changes
Experience mentoring or leading small technical initiatives
Opportunities
Work on real-world healthcare data, contributing to improved patient outcomes and clinical insights
Gain experience with complex, large-scale data integration challenges across multiple hospitals
Help shape a standardized integration platform used across international hospital deployments
Collaborate with cross-functional teams across engineering, product, analytics, and operations
Drive improvements in ETL architecture, monitoring, and operational processes
Work at the intersection of clinical data standards (FHIR/OMOP) and modern Python ETL engineering
Exposure to international projects and diverse healthcare systems
SKILLS LIST:
Python
SQL
Relational databases — Microsoft SQL Server, PostgreSQL (
ETL / ELT
Data modeling & mapping
Data pipeline lifecycle
DevOps
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.
The potential base pay range for this role, when annualized, is zł177,500.00 - zł329,600.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.Skills Required
- 5 years of experience in data engineering, backend engineering, or closely related field
- Strong experience with Python for data engineering
- Solid experience building and maintaining ETL pipelines end-to-end in production
- Strong SQL skills and experience with relational databases
- Experience integrating or transforming clinical or healthcare datasets
- Experience troubleshooting data pipelines in production environments
- Ability to handle complex data mappings and transformations
- Experience working with on-premise environments
- Experience designing reusable ETL patterns
- Ability to communicate clearly with stakeholders
- Experience working in collaborative teams
- Willingness to take ownership and guide others
IQVIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about IQVIA and has not been reviewed or approved by IQVIA.
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Healthcare Strength — Healthcare coverage is positioned as comprehensive, spanning medical/dental/vision plus programs like telemedicine, EAP resources, and additional insurance options. Feedback suggests the health offering is a meaningful part of the overall rewards package, though details can vary by location and plan design.
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Retirement Support — Retirement benefits include an employer match structure that supports employee contributions through a defined formula. This adds steady long-term value to total rewards beyond base salary.
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Leave & Time Off Breadth — Time off offerings include vacation/paid time off, holidays, and flexibility themes, with some roles described as having discretionary or unlimited time-off models. This can make the package feel more attractive even when cash compensation is viewed as only mid-range.
IQVIA Insights
What We Do
IQVIA (NYSE:IQV) is a leading global provider of advanced analytics, technology solutions, and clinical research services to the life sciences industry. IQVIA creates intelligent connections across all aspects of healthcare through its analytics, transformative technology, big data resources and extensive domain expertise. IQVIA Connected Intelligence™ delivers powerful insights with speed and agility — enabling customers to accelerate the clinical development and commercialization of innovative medical treatments that improve healthcare outcomes for patients. With approximately 70,000 employees, IQVIA conducts operations in more than 100 countries. To learn more, visit www.iqvia.com.
