Senior Data Engineer
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Data Integration Team - Senior Data EngineerAbout 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 forWe 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 decisionsSupport and mentor other engineersContribute to structuring and improving team processesYour ResponsibilitiesDesign, build, and maintain ETL pipelines to integrate hospital data into the IQVIA ecosystemWork with complex healthcare data sources (EHR systems, flat files, APIs) and map them to target data modelsExtend and maintain shared ETL frameworks, mapping configurations, and reusable patterns across hospital projectsExecute and monitor historical and incremental data loads, ensuring data quality and reliabilityImplement data validation and quality checks as part of pipeline designTroubleshoot ETL failures, performance issues, and data inconsistencies across environmentsCollaborate with cross?functional teams (DM, Product, AI/ML, Support) to align on requirements and delivery timelinesContribute to standardizing ETL patterns, improving monitoring, and reducing operational overheadSupport deployments and environment setup in on?premise hospital infrastructuresProvide technical guidance and mentoring to other team members where neededParticipate in planning, prioritization, and continuous improvement of team processesOperating modelThis 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 ProfileYou 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.Requirements5 years of experience in data engineering, backend engineering, or a closely related field, with significant hands?on ETL exposureStrong experience with Python for data engineering (modular, testable, scalable code)Solid experience building and maintaining ETL pipelines end-to-end in productionStrong SQL skills (DDL/DML) and experience with relational databases (Microsoft SQL Server and/or PostgreSQL)Experience integrating or transforming clinical or healthcare datasetsExperience troubleshooting data pipelines and working in production environmentsAbility to handle complex data mappings and transformationsExperience working in on?premise environments and infrastructure constraintsGood understanding of data pipeline lifecycle (historical loads, incremental loads, monitoring, error handling)Experience designing reusable ETL patterns that others can maintain and extendAbility to communicate clearly with technical and non?technical stakeholdersExperience working in collaborative teams and contributing to technical discussionsSenior?level experience with willingness to take ownership and guide othersNice to haveExperience with orchestration tools (e.g. Prefect, Airflow, Luigi)Knowledge of healthcare data standards (FHIR, OMOP)Experience with monitoring and support models for data pipelinesFamiliarity with EHR systems and hospital source data modelsExperience with DevOps practices (CI/CD, automation, containerization)Exposure to data quality frameworks and validation strategiesExperience with schema migrations and versioned database changesExperience mentoring or leading small technical initiativesOpportunitiesWork on real-world healthcare data, contributing to improved patient outcomes and clinical insightsGain experience with complex, large?scale data integration challenges across multiple hospitalsHelp shape a standardized integration platform used across international hospital deploymentsCollaborate with cross?functional teams across engineering, product, analytics, and operationsDrive improvements in ETL architecture, monitoring, and operational processesWork at the intersection of clinical data standards (FHIR/OMOP) and modern Python ETL engineeringExposure to international projects and diverse healthcare systemsSKILLS LISTPythonSQLRelational databases- Microsoft SQL Server, PostgreSQL (ETL / ELTData modeling & mappingData pipeline lifecycleDevOpsIQVIA 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 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 z?177,****** - z?329,*.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.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries.We create connections that accelerate the development and commercialization of innovative medical treatments.Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact.No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere.Thank you for your interest in growing your career with us.EEO Minorities/Females/Protected Veterans/Disabled#J--Ljbffr
Requirements
You are a hands?on engineer with a strong sense of ownership and curiosity., transformationsExperience working in on?premise environments and infrastructure constraintsGood understanding of data pipeline lifecycle (historical loads, incremental loads, monitoring, error handling)Experience designing reusable ETL patterns that others can maintain and extendAbility to communicate clearly with technical and non?technical stakeholdersExperience working in collaborative teams and contributing to technical discussionsSenior?level experience with willingness to take ownership and guide othersNice to haveExperience with orchestration tools (e.g. Prefect, Airflow, Luigi)Knowledge of healthcare data standards (FHIR, OMOP)Experience with monitoring and support models for data pipelinesFamiliarity with EHR systems and hospital source data modelsExperience with DevOps practices (CI/CD, automation, containerization)Exposure to data quality frameworks and validation strategiesExperience with schema migrations and versioned database changesExperience mentoring or leading