Data/ML Engineer

Overview:

• The Accelerator at Princeton builds shared data and compute platforms for computational social scientists.
• This Data/ML Engineer will drive data engineering and machine learning initiatives, building pipelines for research-ready data products.

Responsibilities:

• Align data engineering and ML initiatives with strategic goals and prioritize development projects.
• Own pipeline design, deployment automation, CI/CD, and versioned data releases.
• Operate within cost governance frameworks, using Unity Catalog and multi-tenant isolation.

Qualifications:

• 3+ years of relevant experience with production systems at scale.
• Strong proficiency in Python, SQL, and Apache Spark; experience with ML/NLP pipelines.
• Experience with cloud data platforms; Azure and Databricks preferred.

Benefits:

• Princeton offers a comprehensive benefit program to eligible employees.
• This is a 6-month term role with potential for extension; remote within the US may be considered.