Senior Data Engineer – Clinical Platforms (Databricks)

📋 Description Design, build, and optimize enterprise data pipelines, lakehouse storage layers, and data models Collaborate with frontend developers, software architects, and clinical research teams to build Build performant, standards-compliant data structures to store EDC outputs, audit trails, device Partner with Clinical QA and Validation teams to ensure database structures, data pipelines, and Implement real-time and batch ingestion jobs connecting legacy clinical systems, central labs Monitor, troubleshoot, and optimize Spark jobs, Delta Lake tables, and query execution times to 🎯 Requirements 4+ years of hands-on experience building production data pipelines and lakehouse architectures Demonstrated experience building, extending, or maintaining custom software applications for Deep understanding of clinical data standards and regulatory environments, including CDISC (SDTM Strong experience with relational schema design, dimensional modeling, and unstructured data Proficiency in Python, SQL, RESTful API integrations, CI/CD pipelines, Git, and automated testing Experience working in cloud environments (AWS preferred, Azure or GCP). 🎁 Benefits Remote-first culture – work from anywhere! AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered In-Company English Lessons. Birthday off + an extra vacation week (Mutt Week!) Referral bonuses – help us grow the team & get rewarded! Maslow: Monthly credits to spend in our benefits marketplace.