Senior Data Engineer

Bristol Myers Squibb • Princeton, NJ

28d

About The Position

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.

Requirements

• 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.

Responsibilities

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

Benefits

• Health Coverage: Medical, pharmacy, dental, and vision care.
• Wellbeing Support: Programs such as BMS Well-Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
• Financial Well-being and Protection: 401(k) plan, short- and long-term disability, life insurance, accident insurance, supplemental health insurance, business travel protection, personal liability protection, identity theft benefit, legal support, and survivor support.
• Work-life benefits include: Paid Time Off US Exempt Employees: flexible time off (unlimited, with manager approval, 11 paid national holidays (not applicable to employees in Phoenix, AZ, Puerto Rico or Rayzebio employees) Phoenix, AZ, Puerto Rico and Rayzebio Exempt, Non-Exempt, Hourly Employees: 160 hours annual paid vacation for new hires with manager approval, 11 national holidays, and 3 optional holidays Based on eligibility, additional time off for employees may include unlimited paid sick time, up to 2 paid volunteer days per year, summer hours flexibility, leaves of absence for medical, personal, parental, caregiver, bereavement, and military needs and an annual Global Shutdown between Christmas and New Years Day. All global employees full and part-time who are actively employed at and paid directly by BMS at the end of the calendar year are eligible to take advantage of the Global Shutdown.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed