Mgr, Data Engineering

Location: LAKE FOREST, IL, US,

Work Location Type: 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 $.

• 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.

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.

The Manager, Data Engineering leads the team in defining and evolving a modern, cloud‑native data engineering vision while developing scalable platforms and reusable tooling. The leader mentors and grows data engineers, elevating technical quality, operational rigor, and measurable business impact. The role builds and maintains reliable data platforms and primitives that enable machine learning, analytics, and finance teams to operate independently through consistent patterns, tooling, and observability.

The Manager also partners across machine learning, analytics, finance, and broader data engineering groups to align architectures, uphold governance, and deliver production‑ready data products that balance flexibility with reliability.

• Define and evolve the data engineering vision by setting modern, cloud‑native standards that ensure scalable platforms and reusable tooling, enabling teams to build solutions faster and with greater consistency.
• Lead, mentor, and grow the data engineering team by developing technical capability and operational rigor, raising engineering quality so the organization delivers more reliable and impactful data outcomes.
• Build and maintain core data platforms and primitives in ways that remove friction for machine learning, analytics, and finance partners, ensuring they can access trustworthy, production‑ready data when they need it.
• Establish reusable patterns, tooling, and observability frameworks that empower practitioners to independently build, operate, and extend robust data and ML pipelines, reducing dependency bottlenecks.
• Partner with machine learning, analytics, finance, and peer data engineering groups to align architectures and standards, ensuring cohesive roadmaps and clear ownership that accelerate enterprise‑wide data progress.
• Drive well‑governed, production‑ready data products by balancing flexibility with reliability, enabling measurable business and model impact through high‑quality, scalable data assets.

• Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field required.
• Master'…