Senior Data Engineer
Bristol Myers Squibb, Princeton, NJ, United States
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 the 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.
Compensation Overview
Princeton – NJ – US: $94,180 – $114,124
The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefits
Health Coverage: Medical, pharmacy, dental, and vision care.
Well‑being Support: BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well‑being & Protection: 401(k) plan, disability and life insurance, supplemental health insurance, and other protections.
Paid Time Off: Unlimited flexible time off with manager approval, 11 paid national holidays, and additional vacation for eligible employees.
Global Shutdown: Annual shutdown between Christmas and New Years Day for eligible employees.
Work‑Life Benefits
Employees may benefit from flexible work arrangements and generous paid time off policies, including unlimited paid sick time and volunteer days, within the appropriate eligibility guidelines.
On‑Site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. Roles are classified as site‑essential, site‑by‑design, field‑based, or remote‑by‑design. Site‑essential roles require 100% onsite shifts at the assigned facility. Site‑by‑design roles may be eligible for a hybrid model with at least 50% onsite presence.
Supporting People with Disabilities
BMS is dedicated to ensuring people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations, and ongoing support. Applicants can request accommodations prior to accepting a job offer.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
R1599949 : Senior Data Engineer
#J-18808-Ljbffr
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 the 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.
Compensation Overview
Princeton – NJ – US: $94,180 – $114,124
The starting compensation range(s) for this role are listed above for a full‑time employee (FTE) basis. Additional incentive cash and stock opportunities (based on eligibility) may be available. The starting pay rate takes into account characteristics of the job, such as required skills, where the job is performed, the employee’s work schedule, job‑related knowledge, and experience. Final, individual compensation will be decided based on demonstrated experience.
Eligibility for specific benefits listed on our careers site may vary based on the job and location. For more on benefits, please visit https://careers.bms.com/life-at-bms/.
Benefits
Health Coverage: Medical, pharmacy, dental, and vision care.
Well‑being Support: BMS Well‑Being Account, BMS Living Life Better, and Employee Assistance Programs (EAP).
Financial Well‑being & Protection: 401(k) plan, disability and life insurance, supplemental health insurance, and other protections.
Paid Time Off: Unlimited flexible time off with manager approval, 11 paid national holidays, and additional vacation for eligible employees.
Global Shutdown: Annual shutdown between Christmas and New Years Day for eligible employees.
Work‑Life Benefits
Employees may benefit from flexible work arrangements and generous paid time off policies, including unlimited paid sick time and volunteer days, within the appropriate eligibility guidelines.
On‑Site Protocol
BMS has an occupancy structure that determines where an employee is required to conduct their work. Roles are classified as site‑essential, site‑by‑design, field‑based, or remote‑by‑design. Site‑essential roles require 100% onsite shifts at the assigned facility. Site‑by‑design roles may be eligible for a hybrid model with at least 50% onsite presence.
Supporting People with Disabilities
BMS is dedicated to ensuring people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations, and ongoing support. Applicants can request accommodations prior to accepting a job offer.
Candidate Rights
BMS will consider for employment qualified applicants with arrest and conviction records, pursuant to applicable laws in your area.
Data Protection
We will never request payments, financial information, or social security numbers during our application or recruitment process. Learn more about protecting yourself at https://careers.bms.com/fraud-protection.
R1599949 : Senior Data Engineer
#J-18808-Ljbffr