Data Engineering Manager - Cloud-Native Platforms & ML Impact

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,Zoro.comoffers customers access to more than 14 million products, andMonotaRO.comoffers more than 24 million products. For more information, visit Compensation The anticipated base pay compensation range for this position is$134,100.00 to$223,500.00. Rewards and Benefits 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. Position Details The Manager, Data Engineering leads the team in defining and evolving a modern, cloudnative 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 productionready data products that balance flexibility with reliability. You Will Defines and evolves the data engineering vision by setting modern, cloudnative 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 learning, analytics, and finance partners, ensuring they can access trustworthy, productionready data when they need it. Establishes reusable patterns, tooling, and observability frameworks that empower practitioners to independently build, operate, and extend robust data and ML pipelines, reducing dependency bottlenecks. Partners with machine learning, analytics, finance, and peer data engineering groups to align architectures and standards, ensuring cohesive roadmaps and clear ownership that accelerate enterprisewide data progress. Drives wellgoverned, productionready data products by balancing flexibility with reliability, enabling measurable business and model impact through highquality, scalable data assets. You Have Bachelor's Degree or equivalent experience in Computer Science, Data Engineering, Data Science, Software Engineering, or a related technical field required Master's Degree preferred 5+ years leading data engineering efforts in complex, cross-functional environments supporting ML and analytics workloads required Direct people leadership experience required. Proven ability to lead and stay hands-on building and operating cloud-native data platforms: Airflow (or similar) orchestration, Kafka streaming, and RDBMS foundations (e.g., PostgreSQL). Experience with lakehouse/warehouse solutions (e.g., Databricks/Delta, Snowflake) and production-grade platform practices (CI/CD, monitoring, security). Demonstrated ability to set technical direction and influence architecture beyond your immediate team. Proven commitment to mentoring, upskilling, and building high-leverage engineering teams. Pragmatic mindset: able to balance opinionated defaults with flexibility and build tools that teams want to adopt rather than are forced to use. 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.

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