Senior Staff Engineer, Data Management

Regeneron
Location
Tarrytown, NY
Job Type
Full-time
Posted
March 1, 2026
Views
17
Salary Range
$151k - $246k USD

Job Description

Regeneron is seeking a Senior Staff Engineer for Data Management to join our team.

This role will lead the design and implementation of enterprise data management solutions supporting Regeneron's research and development efforts. You will be responsible for building robust data infrastructure that enables scientific discovery and drug development.

Responsibilities

  • Architect and implement scalable data management platforms
  • Design data pipelines for ingestion, transformation, and storage of large-scale scientific data
  • Develop data governance frameworks and ensure data quality standards
  • Build and maintain data warehouses and data lakes
  • Create APIs and services for data access and integration
  • Lead technical initiatives and mentor engineering team members
  • Collaborate with scientists, analysts, and IT teams across the organization

Requirements

  • MS/PhD in Computer Science, Data Engineering, or related field
  • 10+ years of experience in data engineering or data management
  • Expert-level SQL and database design skills
  • Strong proficiency in Python, Scala, or Java
  • Experience with cloud data platforms (Snowflake, Databricks, or similar)
  • Knowledge of data modeling, ETL/ELT processes, and data governance
  • Experience with big data technologies (Spark, Hadoop, Kafka)
  • Track record of leading enterprise-scale data initiatives

Preferred

  • Experience in pharmaceutical or life sciences industry
  • Familiarity with scientific data types (genomics, clinical, etc.)
  • Knowledge of regulatory requirements (GxP, 21 CFR Part 11)

Regeneron is a leading biotechnology company that invents life-transforming medicines for people with serious diseases.

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Job Information

Source: company-career-page
Remote Type: hybrid
Experience: lead
Allowed Locations: Worldwide
Skills & Tags:
data-engineering data-management python sql snowflake spark etl aws