Data Engineer: Build Trusted Pipelines & Analytics

Magid; Chicago (IL); On-site; USD 96,000 - 134,000; Full time

Benefits offered by this job

Health, dental, vision, life insurance

401k with company match

Profit sharing

Paid time off

Job summary

Magid Glove & Safety is seeking a Data Engineer in Chicago to build and maintain data pipelines across sourcing, service delivery and analytics ecosystems. You will collaborate with product, sales, and operations to deliver trusted data and insights.

The role emphasizes developing data models, ensuring data quality, and enabling ML workflows with curated datasets, while supporting reporting via BI tools.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or related field.
• Equivalent practical experience is equally valued.
• Strong SQL fundamentals and data modeling mindset.

Responsibilities

• Build and maintain batch and streaming pipelines from source systems to analytical platform.
• Create well-documented datasets and semantic models for reporting.
• Perform data quality checks and monitor data health.
• Collaborate with partners to clarify requirements and iterate on data products.
• Support ML workflows with curated training data and feature-ready tables.

Skills

SQL

Python

Data modeling

ETL tools

Data warehousing

Git

Education

Bachelor's degree in CS/Engineering

Tools

Airflow

dbt

Spark

Snowflake

Job description

Magid Glove & Safety is seeking a Data Engineer in Chicago to build and maintain data pipelines across sourcing, service delivery and analytics ecosystems. You will collaborate with product, sales, and operations to deliver trusted data and insights.

The role emphasizes developing data models, ensuring data quality, and enabling ML workflows with curated datasets, while supporting reporting via BI tools.