Junior AI Data Engineer – Pipelines & ML Workflows

Bristol-Myers Squibb Co; Princeton (NJ); On-site; USD 81,000 - 98,000; Full time

Benefits offered by this job

Flexible Time Off

11 paid company holidays

Wellbeing support

Job summary

Bristol Myers Squibb is seeking an Associate Engineer to deliver data pipelines, ML workflow components, and platform features, building technical proficiency and contributing to production-ready AI/ML solutions. This role suits an early-career engineer eager to grow within established patterns and guidance from senior engineers.

You will contribute to testing, debugging, and documentation while collaborating with cross-functional teams to align work with business goals.

Qualifications

• BA/BS required in a quantitative or engineering discipline.
• 0-2 years of experience in data engineering, software engineering, ML engineering, or a related field; relevant advanced degrees contribute to required years of experience.
• Proficiency in Python and SQL; familiarity with data pipeline development and common processing patterns.

Responsibilities

• Implement data pipelines, ML workflow components, and platform features following established architecture patterns and coding standards.
• Write readable, maintainable, testable code with limited guidance after initial design alignment with senior engineers.
• Deliver well-scoped work reliably and on schedule; understand how your work fits into the larger solution.
• Troubleshoot issues within your assigned pipelines and features; identify root causes and propose solutions.

Skills

Python

SQL

Data pipelines

ML concepts

Git

Testing

Documentation

Cloud environments

Cross-functional collaboration

Education

BA/BS in quantitative or engineering discipline

Tools

Git

Databricks

AWS/Azure

Job description

Bristol Myers Squibb is seeking an Associate Engineer to deliver data pipelines, ML workflow components, and platform features, building technical proficiency and contributing to production-ready AI/ML solutions. This role suits an early-career engineer eager to grow within established patterns and guidance from senior engineers.

You will contribute to testing, debugging, and documentation while collaborating with cross-functional teams to align work with business goals.