Senior Data Engineer

Responsibilities

• Design and deploy agentic frameworks for self-serve data product creation
• Build self-healing data pipeline infrastructure with autonomous monitoring and remediation
• Develop AI-driven QC agents to detect anomalies, validate data flows, and enforce trust
• Architect observability layers to make data quality legible to both humans and agents
• Manage and govern the full infrastructure stack underpinning agentic data operations

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in data engineering roles with increasing complexity
• Deep fluency in multi-agent system design for production-grade reliability
• Proven track record with modern data engineering stacks including Airflow, DBT, Snowflake, and AWS
• Experience working with Agile methodologies
• Strong understanding of data governance, security best practices, and data quality management

Preferred Qualifications

• Master’s degree in a relevant technical field
• Product-oriented mindset with experience implementing "data as a product" methodologies

Benefits

• Thoughtful rewards package recognizing individual contribution and impact
• Comprehensive health and wellbeing benefits, including high-quality healthcare and wellness programs
• Opportunities for global career growth and professional development

About the Company

Sanofi is an R&D-driven, AI-powered biopharma company dedicated to improving people's lives through the miracles of science. We leverage data insights and responsible AI to accelerate the delivery of medicines and vaccines to patients worldwide.