Sr. Data Engineer

Select how often (in days) to receive an alert:

LAKE FOREST, IL, US,  Remote, IL, US, N/A CHICAGO, IL, US,

Hybrid

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 maintenance, repair and operating (MRO) products and services, including technical support and inventory management. In the Endless Assortment segment,  offers customers access to more than 14 million products, and  offers more than 24 million products. For more information, visit

The anticipated base pay compensation range for this position is $ to $.

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.

You will play a pivotal role in designing, building, and optimizing robust data pipelines and backend systems that power our analytics, machine learning models, and customer-facing applications. This role sits at the intersection of data engineering, data platform, and software development, with a strong focus on automation, cloud-native architecture, and seamless data integration—while also working closely with enterprise systems such as SAP S/4

HANA to support end-to-end business solutions.

You are a curious problem-solver who enjoys collaborating across functions—engineering, data science, and product—to build scalable solutions that deliver reliable and actionable insights. You take pride in clean code, scalable systems, and the thoughtful solutioning, development, and testing of high-quality data products that seamlessly integrate into the enterprise ecosystem.

This position is not eligible for any form of sponsorship now or in the future. Individuals requiring sponsorship (e.g. OPT or H1B visa status) should not apply. Only individuals authorized to work in the United States now and for the foreseeable future will be considered for this position.

• Design, build, and maintain scalable, cloud-native data pipelines and ETL workflows using tools such as Apache Spark, AWS Glue, and Snowflake.
• Solution, develop, and rigorously test data products that support analytics, operational reporting, and real-time decision-making.
• Dev…