Senior Data Engineer: Foundational Data Pipelines

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

Benefits offered by this job

Health Coverage

Wellbeing Support

401(k) plan

Unlimited Paid Time Off

Job summary

Bristol-Myers Squibb in Princeton, NJ is seeking a Senior Data Engineer to support their Foundational Data Products. This role involves designing and maintaining scalable data pipelines and collaborating with research teams to enable data-driven decision-making.

The ideal candidate will have a Bachelor's or Master's degree in a related field and at least 5 years of experience in data engineering, with proficiency in cloud platforms and data integration.

Qualifications

• 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.

Responsibilities

• Design, develop, and maintain robust and scalable data pipelines.
• Integrate data from diverse sources, ensuring consistency and quality.
• Implement best practices in data governance, data quality, and data security.

Skills

Databricks

SQL

Python

Java

Scala

Cloud platforms (AWS, Azure, GCP)

Data warehousing solutions

Data lakehouse solutions

ETL tools (Glue Studio, Informatica)

Education

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

Job description

Bristol-Myers Squibb in Princeton, NJ is seeking a Senior Data Engineer to support their Foundational Data Products. This role involves designing and maintaining scalable data pipelines and collaborating with research teams to enable data-driven decision-making.

The ideal candidate will have a Bachelor's or Master's degree in a related field and at least 5 years of experience in data engineering, with proficiency in cloud platforms and data integration.