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.