Jobs and Careers

Manager, Data Engineer

San Rafael, United Statesfull_timeVerifiedPosted 17 Sept 2025

About the role

Who We Are

BioMarin is a global biotechnology company that relentlessly pursues bold science to translate genetic discoveries into new medicines that advance the future of human health.

Since our founding in 1997, we have applied our scientific expertise in understanding the underlying causes of genetic conditions to create transformative medicines, using a number of treatment modalities.

Using our unparalleled expertise in genetics and molecular biology, we develop medicines for patients with significant unmet medical need. We enlist the best of the best – people with the right technical expertise and a relentless drive to solve real problems – and create an environment that empowers our teams to pursue bold, innovative science. With this distinctive approach to drug discovery, we’ve produced a diverse pipeline of commercial, clinical and preclinical candidates that have well-understood biology and provide an opportunity to be first-to-market or offer a substantial benefit over existing therapeutic options.

About Worldwide Research and Development

From research and discovery to post-market clinical development, our WWRD engine involves all bench and clinical research and the associated groups that support those endeavors. Our teams work on developing first-in-class and best-in-class therapeutics that provide meaningful advances to patients who live with genetic diseases.

Job Description: The Manager, Data Engineer role supports Research and Development (R&D) within the Operational Insights Center (OIC) in designing, developing and maintaining non-GXP computer systems that process, store, and analyze business operational data. This position requires advanced technical expertise in data engineering pipeline development within Databricks and Azure SQL Server, as well as advanced Power BI development experience in Data Analysis Expressions (DAX language) and Power Query data modeling. Familiarity with operational data (headcount and financial budgeting) in the context of pharmaceutical and life sciences is required, as the data engineer is expected to create data models which accurately forecast cost and headcount models. In addition to technical skills, this role requires mature influencing skills and an adeptness in communication with stakeholders that are sensitive to their needs; understanding the unique requirements of the consumers of technical solutions produced by OIC is critical to the data engineer’s skillset. Successful candidates are highly organized and self-motivated to solve technical problems independently, display curiosity for new and modern approaches, and are active participants in stakeholder meetings in driving agreement and adoption to the technical presentation of a solution.Key Responsibilities:

Design, develop, and maintain scalable data pipelines and ETL processes to support data integration and analytics.
Utilize Databricks to build and optimize data workflows and transformations.
Manage and optimize Azure SQL Server databases to ensure data integrity and performance.
Develop and maintain interactive dashboards and reports using Power BI.
Collaborate with other pipeline engineers, data scientists, IT, security, and business stakeholders to understand data requirements and deliver solutions.
Implement best practices for data management, including data quality, governance, and security.
Troubleshoot and resolve data-related issues and provide technical support to end-users.
Stay up to date with the latest industry trends and technologies to continuously improve our data infrastructure.

Qualifications:

Bachelor's degree in computer science, Information Technology, or a related field.
5+ years of proven experience as a data engineer in the pharmaceutical industry or a related field.
2+ years of advanced proficiency in Databricks, SQL Server, Power BI, and ETL processes.
Strong statistical analysis and data modeling skillset.
Strong programming skills in languages such as Python, SQL, Power Query / M, and DAX.
Experience with cloud platforms such as Azure and Databricks.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.
Ability to work independently and manage multiple tasks simultaneously.
Familiarity with Dev Ops and SDLC processes.
Must have an online portfolio showcasing data engineering or Power BI reports.