Senior Data Engineer
Listed on 2026-06-14
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IT/Tech
Data Engineering
Summary
As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products, including Core Reg, Substance Mart, DARE, and Asset Mart. You will be responsible for designing, developing, and maintaining scalable data pipelines, ensuring data quality, and enabling data-driven decision-making that accelerates our research and development mission. Working at the intersection of cutting‑edge technology and life‑changing science, you will collaborate closely with data scientists, researchers, and IT professionals to deliver solutions that matter.
Key Responsibilities- Design, develop, and maintain robust and scalable data pipelines supporting Foundational Data Products (Core Reg, Substance Mart, DARE, and Asset Mart)
- Integrate data from diverse sources, ensuring consistency, quality, and accessibility across platforms
- Implement best practices in data governance, data quality, and data security
- Partner closely with data scientists, researchers, and cross‑functional stakeholders to understand data requirements and deliver impactful solutions
- Optimize data processing workflows for performance and scalability
- Create and maintain comprehensive documentation for data pipelines, data models, and integration processes
- Proactively identify and resolve data‑related issues, ensuring reliability and accuracy
- Stay current with the latest technologies and best practices in data engineering and apply them to continuously improve processes
- Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
- Minimum of 5–7 years of experience in data engineering or a related role
- Proficiency in Databricks with a strong focus on data engineering
- Strong SQL skills and experience with relational databases
- Proficiency in programming languages such as Python, Java, or Scala
- Familiarity with cloud platforms (e.g., AWS, Azure, GCP)
- Experience with data warehousing and data lakehouse solutions (e.g., Redshift, Big Query, Snowflake)
- Experience with ETL tools (e.g., Glue Studio, Informatica Power Center)
- Excellent problem‑solving and communication skills; ability to work effectively in a collaborative team environment
- Experience with data visualization tools (e.g., Spotfire, Tableau, Power BI)
- Knowledge of machine learning and data science concepts
- Experience with regulatory compliance and data privacy standards
- Understanding of the pharmaceutical or healthcare industry
Princeton - NJ - US $137,530 – $166,654 Tampa - FL - US $137,530 – $166,654
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
Benefit offerings are subject to the terms and conditions of the applicable plans in effect at the time and may require enrollment. Our benefits include
- 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.
- 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…
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