Data Engineer for Materials Discovery & ML Pipelines

Lucas James Talent Partners; Skokie (IL); On-site; USD 90,000 - 110,000; Full time

Benefits offered by this job

Bonus compensation

Medical, dental, vision, and life ins.

401(k) with match

Job summary

UL Research Institutes is seeking a Data Engineer for the Materials Discovery Research Institute in Skokie, IL. The role focuses on building and maintaining data pipelines, data models, and data platforms to enable analytics and ML across MDRI.

You will collaborate with data scientists and researchers to onboard engineering data, define standards, and ensure data quality, governance, and security across systems.

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Data Science, Engineering, or equivalent.
• Minimum 4 years of experience in data engineering, analytics engineering, or closely related role.
• Experience with machine learning, statistics, or data science workflows is a plus.

Responsibilities

• Architect, build, and maintain MDRI data platforms and pipelines.
• Define data modeling, pipeline standards, and data quality validation processes.
• Collaborate with researchers and staff to integrate diverse data sources and ensure governance and security.

Skills

SQL

Python

Data pipelines

Data modeling

Cloud platforms

Data governance

Education

Bachelor’s degree in CS/IT/Data Science/Engineering

Tools

Terraform

Docker

Kubernetes

Azure Databricks

Azure Data Factory

Spark

Job description

UL Research Institutes is seeking a Data Engineer for the Materials Discovery Research Institute in Skokie, IL. The role focuses on building and maintaining data pipelines, data models, and data platforms to enable analytics and ML across MDRI.

You will collaborate with data scientists and researchers to onboard engineering data, define standards, and ensure data quality, governance, and security across systems.