Top Pharmaceutical Data Engineering Jobs

Design, build, and maintain integrations and reporting for the Ellucian Colleague ecosystem. Develop ETL pipelines, APIs/ web services, and data warehouse objects; support Colleague SaaS migration, troubleshoot integrations, ensure compliance reporting, and collaborate with functional stakeholders.

Manage and optimize data infrastructure through CRM integrations, SQL database administration, SFTP data transfers, reporting (SSRS, Power BI), and Dynamics configuration. Support internal users, troubleshoot integrations and applications, write scripts/stored procedures, and produce dashboards and formatted reports to enable accurate, accessible data for business decision-making.

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.

Build and maintain data pipelines and transformation layer using dbt and SQL; monitor replication and orchestration pipelines, add data quality checks, and develop datasets and dashboards for internal and client analytics. Collaborate with senior engineers, participate in code reviews, and gradually take on more ownership.

Design, develop, and optimize Microsoft SQL Server data solutions and ETL pipelines. Build complex T-SQL queries, stored procedures, views, and performance optimizations. Ensure data quality, translate requirements into technical implementations, document logic, support production, and collaborate with delivery, engineering, and client teams.

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.

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.

Lead technical design and delivery of enterprise data platform solutions using AWS S3 and Snowflake. Build scalable ETL/ELT and CDC pipelines, establish engineering standards, mentor data engineering teams, ensure data quality, governance, security, and operational readiness, and partner with stakeholders to deliver curated data products for analytics and AI.

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.