Senior Data Engineer – BiopharmaLocation: Remote | Employment Type: Full-Time | Experience: 5+ YearsWe are hiring a Senior Data Engineer to support Pre-Clinical and Clinical data initiatives for a US-based pharmaceutical organization. This role requires strong biopharma domain expertise, advanced Python skills, and hands-on experience building cloud-scale data platforms that support bioinformatics, research, and clinical analytics.Key Responsibilities• Build and manage scalable data pipelines on AWS for biopharma, bioinformatics, and clinical datasets• Design and optimize analytical data models using Amazon Redshift and complex SQL• Act as a Python expert to develop data transformation, validation, and automation frameworks• Integrate data from pre-clinical, clinical, and research systems into analytics-ready datasets• Collaborate with bioinformatics scientists, clinical teams, and data science stakeholders• Ensure data quality, performance, governance, and compliance in regulated pharma environmentsRequired Skills• 5+ years of experience in Data Engineering / Analytics Engineering• Strong experience with AWS (S3, Redshift, Glue, Lambda, IAM)• Advanced SQL expertise for analytical and large-scale datasets• Python expert with experience in data pipelines and automation• Mandatory Biopharma / Life Sciences domain experience• Hands-on exposure to Pre-Clinical and Clinical dataPreferred Skills• Bioinformatics domain knowledge (-omics [Genomics, Transcriptomics, Proteomics, Metabolomics, Epigenomics], clinical trials, translational research)• Experience with Informatica Intelligent Cloud Services (IICS)• Familiarity with regulated environments and data validation practices
Job Title
Data Engineer