Senior Data Engineer

Regeneron Pharmaceuticals

13h

About The Position

The Senior Data Engineer will contribute to the design, development, and optimization of scalable data systems that support analytics, artificial intelligence (AI), machine learning (ML), and business intelligence (BI) initiatives. They will participate in the creation of robust, efficient, and automated data pipelines while implementing advanced data integration and governance solutions. As a Senior Data Engineer, a typical day might include the following: Design and maintain scalable data pipelines, integrate diverse systems, and support AI/ML workflows while ensuring data quality, governance, and performance. Build and optimize ETL/ELT pipelines for systems like MES, ERP, LIMS, EAMS, and QMS using tools like Talend, Informatica, Boomi, and AWS Glue. Automate workflows for analytics, AI, and ML, ensuring reliability and high performance. Integrate structured and unstructured data into centralized storage systems (data lakes, warehouses). Establish data governance frameworks for quality, security, and compliance. Collaborate with cross-functional teams to prepare datasets for AI/ML, support feature engineering, and enable real-time data streaming. Monitor and resolve data quality issues, perform debugging, and ensure system scalability. Participate in Agile processes and share best practices to improve tools and workflows.

Requirements

• Experience with using GenAI to support own work and experience with ETL concepts and tools
• Knowledge of SQL, Python & Microsoft technologies (Azure, Power BI)
• BS/BA in Computer Science, Bioinformatics, or related field
• Senior Data Engineer: 5 years of relevant experience

Nice To Haves

• Knowledge of AWS services (e.g., S3, Redshift, Glue, Lambda) is beneficial
• Exposure to Continuous Integration and Continuous Deployment (CI/CD) practices using tools like Jenkins, Git, or Azure DevOps.
• Familiarity with Agile development methodologies and tools like Jira or Trello.
• Understanding of data governance concepts, good communication skills & willingness to learn and grow.
• Familiarity with regulated industries preferred.

Responsibilities

• Design and maintain scalable data pipelines
• Integrate diverse systems
• Support AI/ML workflows while ensuring data quality, governance, and performance
• Build and optimize ETL/ELT pipelines for systems like MES, ERP, LIMS, EAMS, and QMS using tools like Talend, Informatica, Boomi, and AWS Glue
• Automate workflows for analytics, AI, and ML, ensuring reliability and high performance
• Integrate structured and unstructured data into centralized storage systems (data lakes, warehouses)
• Establish data governance frameworks for quality, security, and compliance
• Collaborate with cross-functional teams to prepare datasets for AI/ML, support feature engineering, and enable real-time data streaming
• Monitor and resolve data quality issues, perform debugging, and ensure system scalability
• Participate in Agile processes and share best practices to improve tools and workflows

Benefits

• We have an inclusive culture that provides comprehensive benefits, which vary by location. In the U.S., benefits may include health and wellness programs (including medical, dental, vision, life, and disability insurance), fitness centers, 401(k) company match, family support benefits, equity awards, annual bonuses, paid time off, and paid leaves (e.g., military and parental leave) for eligible employees at all levels!
• For additional information about Regeneron benefits in the US, please visit https://careers.regeneron.com/en/working-at-regeneron/total-rewards/.
• For other countries’ specific benefits, please speak to your recruiter.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior