Principal Data Engineer

Principal Data Engineer builds data infrastructure, leads technical initiatives, and mentors junior team members while driving data-driven solutions across the organization.

As a Principal Data Engineer, a typical day might include the following:

• Design complex data engineering solutions and define standards.
• Architect and optimize secure, scalable pipelines (ETL/ELT) for real time and batch processing. Integrate diverse data sources, implement fault tolerant systems, and establish CI/CD practices.
• Organize large datasets, ensure data quality, and design data lake/warehouse solutions for accessibility.
• Monitor pipeline performance, troubleshoot issues, and implement observability and alerting systems. Leverage GenAI solutions to enhance team efficiency.
• Document systems and ensure adherence to governance policies.
• Mentor junior engineers and drive infrastructure innovation.

This role may be for you if you have:

• Strong Python, Java, or Scala programming skills.
• Deep SQL expertise and relational database experience.
• NoSQL and big data technology experience (Hadoop, Spark, Kafka).
• Proficiency in data modeling and schema design.
• Knowledge of data security and compliance requirements in regulated environments.
• Familiarity with Biotech Enterprise Systems (MES, LIMS, QMS).
• Excellent communication skills.
• Knowledge of MCP and Orchestration platforms related to AI/GenAI.
• Proficiency in star schemas and data modeling tools.
• Knowledge of industry regulatory requirements (CFR Part 11, GxP, CSA).
• Stream processing experience (Kafka, Flink).
• Cloud certifications.

In order to be considered for this position, you must hold a BS/BA in Computer Science, Bioinformatics, or related field and

• Principal: 8+ years relevant experience with 1+ years experience in biotech, pharmaceutical, or other life sciences industries and 3+ years cloud platform experience (AWS, Azure).
• Staff: 10+ years relevant experience with 3+ years experience in biotech, pharmaceutical, or other life sciences industries and 5+ years cloud platform experience (AWS, Azure).
• Experience with workflow orchestration tools (Airflow, Luigi, Prefect, or similar), containerization technologies, scientific data management systems & using GenAI to enhance own work.
• Master's degree in Computer Science, Bioinformatics, or related field preferred.

Regeneron is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion or belief (or lack thereof), sex, sexual orientation, gender identity or expression, gender reassignment, marital or civil partnership status, civil status, pregnancy or parental status, age, disability, nationality, citizenship status, ethnic or national origin, membership of the Traveler community, familial status, genetic information, military or veteran status, or any other characteristic protected under applicable law. Where required, we will provide reasonable accommodation to applicants with known disabilities or chronic illnesses during the recruitment process, unless such accommodation would impose undue hardship.

Salary Range (annually)

€62,300.00 - €119,000.00