Top Pharmaceutical Data Engineering Jobs

Administer and implement enterprise database platforms across Google Cloud and other cloud environments. Manage SQL Server, BigQuery, Cloud SQL, security, backups, monitoring, performance tuning, query optimization, schema design, data pipelines, cost optimization, and governance. Provide technical support, troubleshoot incidents, manage releases and database-as-code, respond to on-call issues, and collaborate with IT and application teams. Improve operations through automation and AI tools while documenting solutions and supporting users.

Lead design and implementation of the commercial data and systems foundation for launch and growth. Own Salesforce-led commercial systems, integrations, data warehouse, MDM, analytics enablement, governance, and scalable delivery to support commercial operations, reporting, and compliance.

The Principal will lead data engineering projects, support pipeline development, ensure compliance with regulations, and collaborate with researchers to meet data requirements.

Build and maintain ELT pipelines, data storage and quality frameworks, and observability for enterprise systems. Support AI/ML feature pipelines, ensure compliance with FDA/ITAR/DCAA, evaluate data platforms, and implement modern development practices (source control, CI/CD). Collaborate across functions to translate business requirements into production-grade data solutions.

Maintain and monitor Snowflake data warehouse and ingestion pipelines. Troubleshoot file/load/data quality issues, operate SFTP/drop-zone/file automation, support scheduled loads, build dbt models and tables, document runbooks, and serve as backup for core warehouse operations while collaborating with engineering and IT.

Leads enterprise data integration and engineering capabilities, including APIs, middleware, ELT pipelines, data governance, master data management, and cloud analytics platforms. Designs secure, compliant integrations across ERP, CRM, clinical, research, quality, finance, and commercial systems. Establishes architecture standards, data quality controls, monitoring, validation, and support processes while coordinating internal engineers, vendors, and business stakeholders. The role also provides technical leadership for trusted datasets, regulatory compliance, operational reliability, and commercialization readiness.

As a Data Engineer, you will design, build, and manage data pipelines, improve data architecture, ensure accuracy, and collaborate with various teams.

The Data Scientist will enhance the platforms, develop tools for clinical research, and ensure reliability of analytical solutions using software engineering best practices.

Lead the Knowledge Graph & Semantics function at Vertex, defining strategy and building enterprise knowledge graphs to enhance AI and analytics capabilities across the business.

Designs, builds, tests, and maintains software and data infrastructure for business-facing solutions. Develops CI/CD and DevOps practices, supports applications throughout their lifecycle, contributes to internal tools and standards, and collaborates directly with end users. Requires Python, SQL, large-scale data engineering experience, Azure and Databricks knowledge, and familiarity with Power BI, Copilot Studio, and AI tools.