AI Data Engineer: Pipelines, ML & Cloud

Bristol Myers Squibb; Princeton (NJ); On-site; USD 115,000 - 139,000; Full time

Benefits offered by this job

Flexible Time Off

11 holidays

Comprehensive benefits

Job summary

Bristol Myers Squibb in Princeton, NJ is seeking an Engineer for Analytical AI Engineering to design and deliver data-driven ML solutions. You will own end-to-end data pipelines, collaborate with cross-functional teams, and contribute to scalable AI workflows in a fast-paced environment.

The candidate will have 2+ years in data or ML engineering, strong Python/SQL skills, and experience with cloud platforms; on-site at Princeton, with a supportive, benefit-rich workplace culture.

Qualifications

• 2+ years of data engineering, software engineering, ML engineering, or a related field.
• Track record of independent delivery with evidence of enabling less experienced teammates.
• Proficient in Python and SQL with clean, tested code.
• Experience with data pipelines and ML workflows; growing MLOps proficiency.

Responsibilities

• Lead implementation of complex, loosely scoped problems with independent judgment.
• Write well-tested Python code and pipeline designs; guide teammates.
• Act as SME; ensure test coverage and deployment quality across projects.

Skills

Python

SQL

Data pipelines

ML workflows

Databricks

AWS/Azure

Independent learning

Education

BA/BS required (quantitative or engineering discipline preferred); MS a plus

Tools

Databricks

AWS

Azure

Job description

Bristol Myers Squibb in Princeton, NJ is seeking an Engineer for Analytical AI Engineering to design and deliver data-driven ML solutions. You will own end-to-end data pipelines, collaborate with cross-functional teams, and contribute to scalable AI workflows in a fast-paced environment.

The candidate will have 2+ years in data or ML engineering, strong Python/SQL skills, and experience with cloud platforms; on-site at Princeton, with a supportive, benefit-rich workplace culture.