The 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 standardsMentor junior engineers and drive infrastructure innovationBuild scalable, secure data pipelines with robust monitoringOptimize ETL/ELT workflows for large-scale data processingArchitect end-to-end data pipeline solutions from ingestion to consumptionImplement real-time and batch processing systems to handle diverse biotech data streamsDesign fault-tolerant pipelines with appropriate error handling and recovery mechanismsEstablish CI/CD practices for data pipeline deployment and testingDevelop data transformation logic to support analytical and operational needsIntegrate disparate data sources including laboratory instruments, clinical systems, and external APIsImplement data validation frameworks to ensure data integrity throughout the pipelineManage and organize large datasetsEnsure data quality and accessibility for data analystsImplement data lake and data warehouse architecturesMonitor data pipeline performance and troubleshoot issuesMaintain efficiency and reliability of data systemsImplement observability solutions for pipeline monitoringDevelop automated alerting systems for pipeline failures or anomalies as neededBuild and leverage GenAI solutions to improve performance, speed and efficiency of data engineering teamDocument data processes and systems as requiredEnsure compliance with data governance policiesThis role may be for you if you have:Strong Python, Java, or Scala programming skillsDeep SQL expertise and relational database experienceNoSQL and big data technology experience (Hadoop, Spark, Kafka)Proficiency in data modeling and schema designKnowledge of data security and compliance requirements in regulated environmentsFamiliarity with Biotech Enterprise Systems (MES, LIMS, QMS)Excellent communication skillsKnowledge of MCP and Orchestration platforms related to AI/GenAIProficiency in star schemas and data modeling toolsKnowledge of industry regulatory requirements (CFR Part 11, GxP, CSA)Stream processing experience (Kafka, Flink)Cloud certificationsIn order to be considered for this position, you must hold a BA/BS in Computer Science, Bioinformatics, or related field andPrincipal: 8+ years meaningful experience or equivalent combination of education and experience.Staff: 10+ years relevant experience or equivalent combination of education and experienceExperience in biotech, pharmaceutical, or other life sciences industries preferredCloud platform experience (AWS, Azure) preferredExperience with workflow orchestration tools (Airflow, Luigi, Prefect, or similar)Experience with containerization technologiesExperience with scientific data management systemsExperience with using GenAI to enhance own workKnowledge, Skills and Abilities:Does this sound like you? Apply now to take your first step towards living the Regeneron Way We have an inclusive and diverse culture that provides comprehensive benefits, which often include (depending on location) health and wellness programs, fitness centers, equity awards, annual bonuses, and paid time off for eligible employees at all levelsRegeneron 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.