Bristol Myers Squibb is seeking a Senior Data Engineer to design, develop, and optimize data platforms, integrating advanced technologies like AI to enhance data delivery across the organization. The role emphasizes collaboration, stakeholder engagement, and continuous learning within a supportive company culture
Job Summary
The Senior Data Engineer is responsible for designing and optimizing robust data platforms that enable scalable, high-quality data delivery across the enterprise.
This role leverages advanced engineering principles and emerging AI technologies to drive innovation without formal people management responsibilities.
Bristol Myers Squibb offers a wide variety of competitive benefits including health coverage, financial well-being protection, and flexible time off options.
Matching Summary
Match Score: 85
Bristol Myers Squibb is seeking a Senior Data Engineer to design, develop, and optimize data platforms, integrating advanced technologies like AI to enhance data delivery across the organization. The role emphasizes collaboration, stakeholder engagement, and continuous learning within a supportive company culture.
Salary
Base: $94,180 - $114,124 annually; Bonus/Equity: Additional incentive cash and stock opportunities available; Benefits: Health coverage, 401(k), paid time off, and wellbeing support programs
Skills & Requirements
Must-have
3-5 years data engineering experience
Expertise in Python and cloud platforms
Experience with AWS and Databricks
Building scalable reusable data pipelines
Knowledge of GenAI and LangGraph
Nice-to-have
Strong informal mentorship capabilities
Ability to translate requirements into deliverables
Proven initiative in leading technical projects
Culture of continuous learning and innovation
Key Requirements
Minimum 3-5 years of data engineering experience
Advanced communication skills for presenting demos
Strong collaboration and informal mentorship capabilities