Senior Data Engineer - Research IT & Data Pipelines

Bristol Myers Squibb EU Policy; Princeton (NJ); On-site; USD 137,530 - 166,654; Full time

Benefits offered by this job

Health Coverage

Wellbeing Programs

401(k) plan

Job summary

Senior Data Engineer in Research IT at Bristol Myers Squibb will design, build, and maintain scalable data pipelines for Foundational Data Products such as CoreReg, Substance Mart, DARE, and Asset Mart.

You will work with data scientists, researchers and IT professionals to ensure data quality and enable data‑driven decision making that accelerates our research and development mission.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• 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.

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

Skills

Databricks

SQL

Python/Java/Scala

Cloud platforms

Data pipelines

Data integration

Data governance

Education

Bachelor's or Master's degree in Computer Science, Information Technology, or a related field

Tools

Databricks

Glue Studio

Informatica PowerCenter

Redshift

BigQuery

Snowflake

Job description

Senior Data Engineer in Research IT at Bristol Myers Squibb will design, build, and maintain scalable data pipelines for Foundational Data Products such as CoreReg, Substance Mart, DARE, and Asset Mart.

You will work with data scientists, researchers and IT professionals to ensure data quality and enable data‑driven decision making that accelerates our research and development mission.