Senior Clinical Data Engineer

We are looking for an experiencedSenior Clinical Data Engineerto design, build, and manage scalable data pipelines supporting clinical trials.

In this role, you will be responsible for theend-to-end ingestion, integration, transformation, and delivery of clinical datafrom 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.

Requirements

• Bachelor's degree (BE/BTech/BS/BA) in Computer Science, Information Technology, Engineering, Life Sciences, Health Sciences, or a related discipline.
• 5+ years of experiencein Data Engineering, Software Engineering, or a related technology role.
• Strong hands-on programming experience withPython and SQL.
• Hands-on experience withAWS cloud platform.
• Experience designing and deploying production-gradeETL/ELT data pipelinesin cloud environments.
• Hands-on experience with distributed/big-data processing technologies such asApache Spark.
• Experience with workflow orchestration and scheduling usingApache Airflow.
• Experience working withdata lakes and/or cloud data warehouses, such as Snowflake or Amazon Redshift.
• Strong understanding of database concepts, data modeling, data integration, and large-scale data processing.
• Experience handling semi-structured data formats such asJSON and XML.
• Experience building or consumingREST/API-based integrations.
• Familiarity with source control and CI/CD tools such asGitLab/GitHub.
• Strong understanding and practical application of theSoftware Development Life Cycle (SDLC).

Clinical Domain Experience

• Experience working withclinical trial dataand clinical data workflows.
• Familiarity with clinical systems and data sources such asEDC/eCRF, CTMS, and other clinical trial source systems.
• Ability to understand study-level data requirements and translate them into scalable technical solutions.
• Experience coordinating or supportingstudy-level data transfer and integration specificationsis preferred.
• Understanding of data quality, traceability, validation, and regulatory expectations within a clinical environment is highly desirable.

Key Competencies

• Strong analytical andcritical-thinkingskills.
• Excellent problem-solving and troubleshooting abilities.
• Ability to independently own technical deliverables while working effectively within cross-functional teams.
• Strong communication skills with the ability to collaborate with both technical and clinical stakeholders.
• Ability to understand complex data requirements and translate them into practical engineering solutions.
• Strong focus ondata quality, reliability, scalability, and automation.
• Ability to manage priorities and deliver within clinical study timelines.

Technology Landscape

Programming:Python (Advanced)
Big Data:Apache Spark
Orchestration:Apache Airflow
Cloud:AWS
Data Platforms:Amazon Redshift / Data Lakes
Databases:SQL
Data Integration:REST APIs, JSON, XML, file-based integrations
DevOps:GitLab / GitHub, CI/CD
Clinical Systems:EDC/eCRF, CTMS, clinical source systems