Data Engineer

🕒 June 29

🌽 Illinois – Remote

🌽 Illinois – Remote

💵 $153.4k - $174.2k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

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Grainger

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1927

🤝 B2B

🛍️ eCommerce

🛒 Retail

B2B • eCommerce • Retail

Grainger is a leading broad line distributor that operates primarily in North America, Japan, and the United Kingdom. With a mission to "Keep the World Working", Grainger serves over 4. 5 million customers by offering around 2 million maintenance, repair, and operating (MRO) products and services, as well as access to millions of additional products through its online platforms. The company is recognized for its commitment to excellent service and innovative technology that enhances customer relationships and operational efficiency.

📋 Description

• Design and maintain scalable ETL workflows and automate data transformations • Architect and manage cloud-native data pipelines and containerized applications • Automate infrastructure provisioning and streamline DevOps processes • Extract and process enterprise data from SAP systems for analytics • Build high-performance data ingestion and transformation pipelines

🎯 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.

🏖️ Benefits

• To learn about Grainger’s benefits, please visit: https://experience100.ehr.com/grainger/Home/Tools-Resources/Key-Resources/New-Hire