Senior Clinical Data Engineer

We are looking for an experienced Senior Clinical Data Engineer to design, build, and manage scalable data pipelines supporting clinical trials. In this role, you will be responsible for the end-to-end ingestion, integration, transformation, and delivery of clinical data from multiple source systems into enterprise data platforms such as data lakes and data warehouses. You will work closely with clinical data teams, analytics teams, and other downstream consumers to ensure that clinical data is reliable, traceable, high quality, and ready for use.RequirementsBachelor's degree (BE/BTech/BS/BA) in Computer Science, Information Technology, Engineering, Life Sciences, Health Sciences, or a related discipline5+ years of experience in Data Engineering, Software Engineering, or a related technology roleStrong hands-on programming experience with Python and SQLHands-on experience with AWS cloud platformExperience designing and deploying production-grade ETL/ELT data pipelines in cloud environmentsHands-on experience with distributed/big-data processing technologies such as Apache SparkExperience with workflow orchestration and scheduling using Apache AirflowExperience working with data lakes and/or cloud data warehouses, such as Snowflake or Amazon RedshiftStrong understanding of database concepts, data modeling, data integration, and large-scale data processingExperience handling semi-structured data formats such as JSON and XMLExperience building or consuming REST/API-based integrationsFamiliarity with source control and CI/CD tools such as GitLab/GitHubStrong understanding and practical application of the Software Development Life Cycle (SDLC)Clinical Domain ExperienceExperience working with clinical trial data and clinical data workflowsFamiliarity with clinical systems and data sources such as EDC/eCRF, CTMS, and other clinical trial source systemsAbility to understand study-level data requirements and translate them into scalable technical solutionsExperience coordinating or supporting study-level data transfer and integration specifications is preferredUnderstanding of data quality, traceability, validation, and regulatory expectations within a clinical environment is highly desirable Key CompetenciesStrong analytical and critical-thinking skillsExcellent problem-solving and troubleshooting abilitiesAbility to independently own technical deliverables while working effectively within cross-functional teamsStrong communication skills with the ability to collaborate with both technical and clinical stakeholdersAbility to understand complex data requirements and translate them into practical engineering solutionsStrong focus on data quality, reliability, scalability, and automationAbility to manage priorities and deliver within clinical study timelines Technology LandscapeProgramming{{:}} Python (Advanced)Big Data{{:}} Apache SparkOrchestration{{:}} Apache AirflowCloud{{:}} AWSData Platforms{{:}} Amazon Redshift / Data LakesDatabases{{:}} SQLData Integration{{:}} REST APIs, JSON, XML, file-based integrationsDevOps{{:}} GitLab / GitHub, CI/CDClinical Systems{{:}} EDC/eCRF, CTMS, clinical source systems