Senior Data Engineer

Bristol Myers Squibb • Princeton, NJ

28d

About The Position

As a Senior Data Engineer in Research IT, you will play a critical role supporting Bristol Myers Squibb's Foundational Data Products , including CoreReg, 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.

Requirements

• 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, BigQuery, Snowflake)
• Experience with ETL tools (e.g., Glue Studio, Informatica PowerCenter)
• Excellent problem-solving and communication skills; ability to work effectively in a collaborative team environment

Nice To Haves

• 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

Responsibilities

• Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines supporting Foundational Data Products (CoreReg, Substance Mart, DARE, and Asset Mart)
• Data Integration: Integrate data from diverse sources, ensuring consistency, quality, and accessibility across platforms
• Data Management: Implement best practices in data governance, data quality, and data security
• Collaboration: Partner closely with data scientists, researchers, and cross-functional stakeholders to understand data requirements and deliver impactful solutions
• Performance Optimization: Optimize data processing workflows for performance and scalability
• Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and integration processes
• Troubleshooting: Proactively identify and resolve data-related issues, ensuring reliability and accuracy
• Innovation: Stay current with the latest technologies and best practices in data engineering and apply them to continuously improve processes

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