Data/ML Engineer - Research Platforms & Pipelines (Remote)

Princeton University; United States; Remote; USD 90,000 - 120,000; Full time

Benefits offered by this job

Comprehensive benefits

Job summary

Princeton University’s Accelerator builds shared data and compute platforms for computational social scientists. We seek a Data/ML Engineer to drive data engineering and ML initiatives, building research-ready data pipelines and products.

You will align projects with strategic goals, own pipeline design and deployment automation, and operate under cost governance using Unity Catalog. The role supports a 6-month term, with remote options within the United States.

Qualifications

• 3+ years of production data systems experience.
• Experience with cloud data platforms; Azure and Databricks preferred.
• Remote within the US may be considered for a 6-month term.

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.

Skills

Python

SQL

Apache Spark

ML pipelines

NLP pipelines

Tools

Azure Databricks

Cloud platforms

CI/CD tooling

Job description

Princeton University’s Accelerator builds shared data and compute platforms for computational social scientists. We seek a Data/ML Engineer to drive data engineering and ML initiatives, building research-ready data pipelines and products.

You will align projects with strategic goals, own pipeline design and deployment automation, and operate under cost governance using Unity Catalog. The role supports a 6-month term, with remote options within the United States.