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.

Summary:

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.

Key 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

Qualifications & Experience:

Required:

• 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

Preferred:

• 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