Senior Data Engineer, Research Data Operations and Engineering

Key Skills

AWS, Azure, Data science techniques, Data Visualization, Google Cloud Platform (GCP), Java Programming, Operations, PowerBI, Python Programming, Tableau

Job Description

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.

As a Senior Data Engineer in Research IT, you will play a critical role in supporting Research Foundational Data Products including CoreReg, Substance Mart, DARE and Asset Mart. You will be responsible for designing, developing, and maintaining data pipelines, ensuring data quality, and enabling data-driven decision-making processes. You will work closely with cross-functional teams, including data scientists, researchers, and IT professionals, to support research and development activities.

Key Responsibilities:

• Data Pipeline Development: Design, develop, and maintain robust and scalable data pipelines to support Foundational Data Products CoreReg, Substance Mart, DARE and Asset Mart.
• Data Integration: Integrate data from various sources, ensuring data consistency, quality, and accessibility.
• Data Management: Implement data management best practices, including data governance, data quality, and data security.
• Collaboration: Work closely with data scientists, researchers, and other stakeholders to understand data requirements and deliver solutions that meet their needs.
• Performance Optimization: Optimize data processing workflows for performance and scalability.
• Documentation: Create and maintain comprehensive documentation for data pipelines, data models, and data integration processes.
• Troubleshooting: Identify and resolve data-related issues, ensuring the reliability and accuracy of data.
• Innovation: Stay up-to-date with the latest technologies and best practices in data engineering and apply them to improve existing processes.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 5-7 years of experience in data engineering or a related role.
• Technical Skills: Proficiency in programming languages such as Python, Java, or Scala. Experience with data processing frameworks like Apache Spark, Hadoop, or similar. Strong SQL skills and experience with relational databases.
• Tools and Technologies: Familiarity with cloud platforms (e.g., AWS, Azure, GCP), data warehousing solutions (e.g., Redshift, BigQuery, Snowflake), and ETL tools (e.g., Glue Studio, Informatica Powercenter).
• Soft Skills: Excellent problem-solving skills, strong communication skills, and the ability to work collaboratively in a team environment.
• Domain Knowledge: Understanding of the pharmaceutical or healthcare industry is a plus.

Preferred Qualifications:

• 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.

LI-Hybrid

If you come across a role that intrigues you but doesn’t perfectly line up with your resume, we encourage you to apply anyway. You could be one step away from work that will transform your life and career.

Uniquely Interesting Work, Life-changing Careers

With a single vision as inspiring as “Transforming patients’ lives through science™ ”, every BMS employee plays an integral role in work that goes far beyond ordinary. Each of us is empowered to apply our individual talents and unique perspectives in an inclusive culture, promoting diversity in clinical trials, while our shared values of passion, innovation, urgency, accountability, inclusion and integrity bring out the highest potential of each of our colleagues.

On-site Protocol

BMS has a diverse occupancy structure that determines where an employee is required to conduct their work. This structure includes site-essential, site-by-design, field-based and remote-by-design jobs. The occupancy type that you are assigned is determined by the nature and responsibilities of your role:

Site-essential roles require 100% of shifts onsite at your assigned facility. Site-by-design roles may be eligible for a hybrid work model with at least 50% onsite at your assigned facility. For these roles, onsite presence is considered an essential job function and is critical to collaboration, innovation, productivity, and a positive Company culture. For field-based and remote-by-design roles the ability to physically travel to visit customers, patients or business partners and to attend meetings on behalf of BMS as directed is an essential job function.

BMS is dedicated to ensuring that people with disabilities can excel through a transparent recruitment process, reasonable workplace accommodations/adjustments and ongoing support in their roles. Applicants can request a reasonable workplace accommodation/adjustment prior to accepting a job offer. If you require reasonable accommodations/adjustments in completing this application, or in any part of the recruitment process, direct your inquiries to adastaffingsupport@bms.com. Visit careers.bms.com/eeo-accessibility to access our complete Equal Employment Opportunity statement.