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# Data Engineer

- **Company:** BINGHAMTOM UNIVERSITY
- **Location:** Lake Forest, IL, United States
- **Experience:** Experienced
- **Salary:** $95,000.0 - $158,400.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Data Infrastructure, DevOps, Power BI, Ansible, DataOps, Tableau (Software), Infrastructure Automation Frameworks, AWS Glue, Terraform
- **Published:** November 3, 2026
- **Apply:** https://www.themuse.com/jobs/grainger/data-engineer-cb2e6e?utm_source=uconnect

## About the Role

* Minimum 3-5 years of experience in batch and streaming ETL using Spark, Python, Scala, Snowflake, or Databricks for data engineering or ML workloads.

 * Minimum 3-5 years of experience orchestrating and managing pipelines with workflow tools such as Databricks Workflows, Apache Airflow, or Luigi.

 * Minimum 3-5 years of experience designing, building, and optimizing CI/CD pipelines using tools such as GitHub and Jenkins.

 * Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).

 * Familiarity with AWS or other cloud services (e.g., AWS Glue, Athena, Lambda, S3).

 * Familiarity with Infrastructure as Code (IaC) tools such as Terraform and Ansible.

 * Strong problem-solving skills with the ability to work independently under pressure

Preferred:

 * Experience in building observability and monitoring frameworks for data infrastructure.

 * Exposure to DevOps or DataOps practices.

 * Familiarity with BI tools such as Tableau, PowerBI

## Description

As a Data Engineer within the Grainger Data & Analytics domain, you will be responsible for supporting the day-to-day operations of our data infrastructure, processes, and pipelines. This role involves monitoring core technologies and tools, ensuring platform stability, and addressing operational issues as they arise. A key part of this role is ensuring SLAs are met during production incidents by performing root cause analysis, documenting findings, and implementing sustainable fixes aligned with best practices. You will also collaborate with engineering and analytics teams to drive improvements and prevent future issues.

Hands-on experience with at least one modern cloud data platform, such as Snowflake or Databricks, is required, as these technologies are foundational to our data ecosystem and operational processes.

You will report to the Manager, Data Analytics and preferred to be based in either Lake Forest, IL or downtown Chicago.

PLEASE NOTE: Visa Sponsorship (first time sponsorship or transfer) is NOT Available for this role at this time.

You Will:

 * Troubleshoot and resolve operational issues to ensure platform stability and timely recovery
 * Monitor and support core tecnologies, tools, and data infrastructure components
 * Perform root cause analysis for production incidents; document findings and implement long-term, best-practice fixes.
 * Improve operational efficiency by building alerts, observability dashboards, automation, and reducing redundancies.
 * Partner with data engineering and platform teams to adopt new tools, frameworks, and patterns.
 * Work closely with users and stakeholders to address questions, provide support, and troubleshoot issues in a timely manner
 * Stay current with industry trends and evaluate emerging technologies to enhance infrastructure and processes.