Data Engineer II

Work Location Type: Hybrid Req Number 330466 About Grainger W.W. Grainger, Inc. is a leading broad line distributor with operations primarily in North America and Japan. At Grainger, We Keep the World Working by serving more than 4.6 million customers worldwide with maintenance, repair and operating (MRO) products and value‑added solutions delivered through innovative technology and deep customer expertise. Known for its commitment to service and purpose‑driven culture, the Company reported 2025 revenue of $17.9 billion. For more information, visit Compensation The anticipated base pay compensation range for this position is $95,000.00 - $158,400.00. This role is eligible for additional incentives targets based on the achievement of individual and company performance objectives in accordance with the current terms of the incentive program which are subject to change. Rewards and Benefits With benefits starting on day one, our programs provide choice and flexibility to meet team members' individual needs, including: Medical, dental, vision, and life insurance plans with coverage starting on day one of employment and 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) and 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. For additional information and details regarding Grainger's benefits, please click on the link below: The pay range provided above is not a guarantee of compensation. The range reflects the potential base pay for this role at the time of this posting based on the job grade for this position. Individual base pay compensation will depend, in part, on factors such as geographic work location and relevant experience and skills. The anticipated compensation range described above is subject to change and the compensation ultimately paid may be higher or lower than the range described above. Grainger reserves the right to amend, modify, or terminate its compensation and benefit programs in its sole discretion at any time, consistent with applicable law. Position Details 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 will 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 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. You Have 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. Equal Employment Opportunity We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or expression, protected veteran status or any other protected characteristic under federal, state, or local law. We are proud to be an equal opportunity workplace. We are committed to fostering an inclusive, accessible work environment that includes both providing reasonable accommodations to individuals with disabilities during the application and hiring process as well as throughout the course of one's employment, should you need a reasonable accommodation during the application and selection process, including, but not limited to use of our website, any part of the application, interview or hiring process, please advise us so that we can provide appropriate assistance. #J-18808-Ljbffr