Mgr, Data Engineering

Work Location Type:
Hybrid

Req Number 327423

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 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.

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.

• Defines and evolves 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.
• Leads, mentors, and grows the data engineering team by developing technical capability and operational rigor, raising engineering quality so the organization delivers more reliable and impactful data outcomes.
• Builds and maintains core data platforms and primitives in ways that remove friction for machine…