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.
Typical Day
* 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.
What Stands Out
* 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.
Experience and Education
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.
Benefits and EEO
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, nationality, national or ethnic origin, civil status, age, citizenship status, membership of the Traveler community, sexual orientation, disability, genetic information, familial status, marital or registered civil partnership status, pregnancy or parental status, gender identity, gender reassignment, military or veteran status, or any other protected characteristic in accordance with applicable laws and regulations. The Company will also provide reasonable accommodation to the known disabilities or chronic illnesses of an otherwise qualified applicant for employment, unless the accommodation would impose undue hardship on the operation of the Company's business.
For roles in which the hired candidate will be working in the U.S., the salary ranges provided are shown in accordance with U.S. law and apply to U.S.-based positions. For roles which will be based in Japan and/or Canada, the salary ranges are shown in accordance with the applicable local law and currency. If you are outside the U.S, Japan or Canada, please speak with your recruiter about salaries and benefits in your location.
Please note that certain background checks will form part of the recruitment process. Background checks will be conducted in accordance with the law of the country where the position is based, including the type of background checks conducted. The purpose of carrying out such checks is for Regeneron to verify certain information regarding a candidate prior to the commencement of employment such as identity, right to work, educational qualifications etc.
Seniority level
* Mid‑Senior level
Employment type
* Full‑time
Job function
* Information Technology
Industries
* Biotechnology
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