Top Pharmaceutical Data Engineering Jobs

Design, develop, and maintain metrics, reports, dashboards, and analyses to inform supply chain decisions. Build ETL/data warehousing pipelines, data models, and automated reporting. Partner with supply chain teams to optimize forecasting, inventory placement, and replenishment. Create AI-powered tools (chatbots/agents) and self-service visualizations; communicate insights to senior leaders.

The Director of Data Engineering will oversee the design, development, and maintenance of data infrastructure and pipelines, ensuring data quality and regulatory compliance while collaborating with various teams to support AI-driven innovations.

As a Senior Data Engineer, you'll design scalable data models, build automated ETL pipelines, and mentor junior engineers while collaborating across teams.

The Senior Data Engineer will transform real-world data into analytics-ready datasets, build scalable pipelines, and conduct analyses to support scientific and business decisions, collaborating closely with data science teams.

The Principal Data Architect leads technical and business discussions on architecture direction, participates in enterprise strategic development, and manages architecture governance while aligning architectural requirements with IT strategy and business goals.

The role requires leading pharmacometrics strategy, solving complex problems, mentoring team members, and integrating AI/ML into drug development processes.

Design, build, and maintain ETL pipelines and data products at scale using Python, SQL, bash and cloud platforms. Participate in Agile ceremonies, support testing and deployments, implement data quality checks, document workflows, and collaborate with cross-functional teams to deliver business-facing data solutions.

Provide research informatics support by developing and maintaining research data systems, extracting and integrating data, producing datasets and reports, implementing data quality checks, and collaborating with stakeholders to support research studies.

The Senior Data Engineer will design and optimize data pipelines from SAP to Databricks, focusing on CDC and stream processing. Responsibilities include managing Kafka components, CI/CD pipelines, and ensuring data quality while collaborating with various teams.

The Data Product Lead will manage enterprise data platforms, ensure data quality, build data pipelines, and improve platform usability for analytics and AI solutions.