Top Pharmaceutical Data Engineering Jobs

Full-time, on-site Fall internship in Los Angeles for enrolled CS/CE students. Build data structures for finance KPIs, publish dashboards to automate reporting, review and enhance reporting systems, and apply ML and LLMs to drive automation and business insights.

The Staff Data Platform Engineer will develop integrations and data pipelines across multiple enterprise systems, ensure data quality, and support executive analytics and AI capabilities.

The Scientific Data Engineer will design data architecture, build ETL/ELT pipelines, implement data quality checks, and develop semantic layers for AI-consumable data products in healthcare research.

Lead design and delivery of cloud-native lakehouse and data product solutions for Supply Chain. Architect and build ingestion pipelines and ETL using AWS (Glue, S3, EMR, Lambda), Apache Iceberg, Redshift, and Spark. Implement Medallion Architecture and data mesh principles, translate SAP/Blue Yonder data into governed analytics-ready products, enforce metadata, lineage and data quality, and lead a technical engineering team while partnering with business stakeholders.

As a Data Engineer, you will design and implement scalable data architectures, oversee integration and governance while collaborating on Master Data Management frameworks, to optimize data performance and drive innovation across the organization.

Design, build, and optimize scalable data pipelines and architectures using SQL and AWS big-data technologies. Assemble complex datasets, automate processes, enable analytics and stream processing, secure cross-region data, and support cross-functional stakeholders including data scientists and product teams.

The Associate Director is responsible for implementing automation and AI workflows in biometrics, ensuring regulatory compliance, continuous improvement of standards, and collaboration across data management and analysis teams.

Provide senior-level data engineering for analytics: resolve complex technical issues, build decision-support reports and dashboards, lead projects, prepare and integrate data, coach staff, and ensure high-quality analytics to support academic, research, and healthcare goals.

The Manager will lead programming for clinical study data processing, oversee programming deliverables, support study teams, and manage resources while ensuring compliance with regulatory standards.

The Data Engineer will architect and maintain data pipelines, manage Snowflake environments, ensure data quality, and mentor junior engineers. Responsibilities include designing ELT pipelines and transforming data using dbt.