Data Engineer, Materials Discovery Platform

ULRI; Skokie (IL); On-site; USD 120,000 - 150,000; Full time

Job summary

UL Research Institutes in Skokie, Illinois seeks a Data Engineer for the Materials Discovery Research Institute. You will design, build, and maintain data pipelines, models, and platforms to enable analytics and ML across the institute.

Collaborate with researchers to ensure data governance, quality, and reproducibility, while contributing to data architecture, ETL/ELT processes, and ML experimentation.

Qualifications

• Bachelor's degree in Computer Science, IT, Data Science, Engineering, or equivalent.
• Minimum 4 years of experience in a data engineering or analytics engineering role.
• Experience with machine learning, statistical modeling, and data-driven experimentation.

Responsibilities

• Own end-to-end data platforms and systems for MDRI, focusing on scalability, reliability, and performance.
• Define and enforce data modeling, pipeline design, documentation, data quality, and reproducibility standards.

Skills

SQL

Python

Data engineering

Machine learning fundamentals

Education

Bachelor's degree in Computer Science/Information Technology/Data Science/Engineering

Tools

Terraform

Docker

Kubernetes

Azure Databricks

Azure Data Factory

Apache Spark

Job description

UL Research Institutes in Skokie, Illinois seeks a Data Engineer for the Materials Discovery Research Institute. You will design, build, and maintain data pipelines, models, and platforms to enable analytics and ML across the institute.

Collaborate with researchers to ensure data governance, quality, and reproducibility, while contributing to data architecture, ETL/ELT processes, and ML experimentation.