Senior Data Engineer

Working with Us
Challenging. Meaningful. Life-changing. Those aren’t words that are usually associated with a job. But working at Bristol Myers Squibb is anything but usual. Here, uniquely interesting work happens every day, in every department. From optimizing a production line to the latest breakthroughs in cell therapy, this is work that transforms the lives of patients, and the careers of those who do it. You’ll get the chance to grow and thrive through opportunities uncommon in scale and scope, alongside high-achieving teams. Take your career farther than you thought possible.

Bristol Myers Squibb recognizes the importance of balance and flexibility in our work environment. We offer a wide variety of competitive benefits, services and programs that provide our employees with the resources to pursue their goals, both at work and in their personal lives. Read more: careers.bms.com/working-with-us.

Job Summary

The Senior Data Engineer is responsible for designing, developing, and optimizing robust data platforms and solutions that enable scalable, high-quality data delivery across the enterprise. This role leverages advanced engineering principles, emerging AI technologies, and strong collaboration skills to drive innovation and operational excellence—without formal people management responsibilities.

Key Responsibilities:

• Advanced Data Engineering & Platform Enablement

  • Develop, optimize, and maintain robust data pipelines and frameworks (including basekits and unified portals).

  • Support migration and integration of legacy systems into modern, AI-powered platforms.

• Agentic AI & GenAI Integration

  • Apply agentic frameworks and GenAI solutions to enhance data engineering capabilities.

  • Lead technical proof-of-concept projects to demonstrate practical AI adoption and drive efficiency improvements.

• Technical Innovation & Problem Solving

  • Identify opportunities to leverage emerging technologies (GenAI, Databricks, LangGraph) for new ways of working.

  • Design and implement solutions that improve developer experience, stakeholder enablement, and operational efficiency.

• Stakeholder Engagement & Communication

  • Deliver demos, technical sessions, and workshops to share solutions and best practices.

  • Collaborate with technical and non-technical stakeholders to translate requirements into actionable engineering deliverables.

• Community Contribution & Informal Mentorship

  • Share expertise and support upskilling efforts within technical communities (e.g., LangGraph and Data Engineering community).

  • Mentor peers informally, fostering a culture of continuous learning and innovation.

• AI-First Ways of Working

  • Utilize AI tools and frameworks to automate processes, improve productivity, and deliver measurable outcomes for stakeholders.

  • Serve as a subject matter expert (SME) for GenAI adoption in Data Platform team.

• Strong Engineering Principles

  • Apply rigorous engineering principles—including modular design, scalability, reliability, and maintainability—to build robust, enterprise-grade data platforms and solutions.

Required Skills & Abilities:

• Minimum 3 - 5 years of data engineering experience.

• Demonstrated ability to quickly learn and apply new/emerging technologies in data engineering and AI.

• Proven initiative in leading technical projects and driving adoption of innovative solutions.

• Advanced communication skills, including experience presenting demos and technical concepts to broad audiences.

• Strong collaboration and informal mentorship capabilities.

• Expertise in Python, AI/ML frameworks, cloud platforms (AWS, Databricks), and modern data engineering tools.

• Experience building and optimizing scalable, reusable data pipelines and frameworks.

• Ability to align technical solutions with business objectives and stakeholder needs.

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.