Work Location Type: Remote
About Grainger:
W.W. Grainger, Inc., is a leading broad line distributor with operations primarily in North America, Japan and the United Kingdom. At Grainger, We Keep the World Working® by serving more than 4.5 million customers worldwide with products and solutions delivered through innovative technology and deep customer relationships. Known for its commitment to service and award-winning culture, the Company had 2024 revenue of $17.2 billion across its two business models. In the High-Touch Solutions segment, Grainger offers approximately 2 million maintenances, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment, Zoro.com offers customers access to more than 14 million products, and MonotaRO.com offers more than 24 million products. For more information, visit www.grainger.com.
Grainger Corporate Services LLC is seeking a Data Engineer in Lake Forest, IL with the following requirements: Master’s degree in Computer Science, Engineering, or related field plus 6 years of related experience. Prior experience must include: Design and maintain scalable ETL workflows and automate data transformations and orchestration using Airflow, DBT, Wherescape, and scripting languages including Python, SQL, and shell scripting, leveraging cloud services like AWS Lambda and S3; Architect and manage cloud-native data pipelines and containerized applications to ensure high availability and scalability, using AWS and Kubernetes and FastAPI for building lightweight data-focused applications and microservices; Automate infrastructure provisioning and streamline DevOps processes using infrastructure-as-code and CI/CD tools, using Terraform, GitHub Actions, and Bitbucket; Extract and process enterprise data from SAP systems using ABAP variants, custom logic, and file-based integrations, enabling downstream analytics in platforms like Snowflake and Databricks and work closely with SAP functional teams to align data extraction with business requirements; Build high-performance data ingestion and transformation pipelines for large-scale analytics and real-time data using kafka and Apache Spark on Databricks. 100% remote work allowed from anywhere in the U.S.
Compensation: The anticipated base pay range for this position is $153,400 to $174,200 which reflects the potential base pay at the time of this posting. Base pay will depend on factors such as work location, relevant experience, and skills. Grainger reserves the right to amend, modify, or terminate compensation and benefit programs in its sole discretion at any time, consistent with applicable law.
Rewards and Benefits: To learn about Grainger’s benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire
Please submit resume to https://jobs.grainger.com, reference job #332427.
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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.
