Data Engineer III - 328284

Lake Forest, IL, US • Posted 30+ days ago • Updated 29 days ago
Full Time
On-site
USD $130,707.00 - 156,400.00 per year
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Customer Relationship Management (CRM)
  • Repair
  • MRO
  • Technical Support
  • Inventory Management
  • Information Technology
  • Dashboard
  • Visualization
  • Machine Learning (ML)
  • Amazon Web Services
  • Extract
  • Transform
  • Load
  • Functional Requirements
  • Extraction
  • Apache Kafka
  • Apache Spark
  • Big Data
  • Analytics
  • Law
  • Recruiting

Summary

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

Grainger Corporate Services LLCis seeking a Data Engineer III in Lake Forest, IL with the following requirements: Bachelor's degree in Information Technology, or related field plus 3 years of related experience. Prior experience must include: Created and managed scalable ETL pipelines for analytics dashboards, visualization, machine learning, abstractions, infrastructure. Work with AWS services implementation; Create and maintain optimal data pipeline architecture. Assemble large, complex data sets that meet functional and non-functional requirements; Build the infrastructure required for optimal extraction, transformation and loading of data from wide variety of data sources using Kafka and spark big data technologies; Create data tools for analytics and data scientists that assist them in building and optimizing product into innovative industry leader. Up to 25% domestic travel required to conferences and team meetings.100% remote work allowed from anywhere in the U.S.

Compensation: The anticipated base pay range for this position is $130,707 to $156,400 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:

Please submit resume to , reference job #328284.

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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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10119494
  • Position Id: 52280973f74bfaa5682818f5a896171e
  • Posted 30+ days ago
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