Data Engineer II

Grainger Businesses • Lake Forest, IL

10d • $95,000 - $158,400 • Hybrid

About The Position

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. 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.

Requirements

• 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

Nice To Haves

• Experience in building observability and monitoring frameworks for data infrastructure.
• Exposure to DevOps or DataOps practices.
• Familiarity with BI tools such as Tableau, PowerBI

Responsibilities

• Troubleshoot and resolve operational issues to ensure platform stability and timely recovery
• Monitor and support core technologies, 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.

Benefits

• Medical, dental, vision, and life insurance plans with coverage starting on day one of employment
• 6 free sessions each year with a licensed therapist to support your emotional wellbeing.
• 18 paid time off (PTO) days annually for full-time employees (accrual prorated based on employment start date)
• 6 company holidays per year.
• 6% company contribution to a 401(k) Retirement Savings Plan each pay period, no employee contribution required.
• Employee discounts, tuition reimbursement, student loan refinancing and free access to financial counseling, education, and tools.
• Maternity support programs, nursing benefits, and up to 14 weeks paid leave for birth parents and up to 4 weeks paid leave for non-birth parents.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed